Useful is the fastest way for Product Managers to create powerful highlights from customer conversations to share insights and learnings with their teams

Useful

useful

— Discover cool new products producthunt.com — Schedule and automatically repeat your social media posts oneupapp.io — Make simple one-page websites carrd.co — Extract data from PDF to Excel docparser.com — Discover the best times to post to reddit postinspect.com — Free screen & video recording software useloom.com — Scan any highlighted text and leave everything else behind autopick.co — Free referral marketing software growsurf.com — Real time whiteboard for remote collaboration witeboard.com — Editorial-style Mailchimp alternative getrevue.co — Free tools & resources for non-technical makers nocode.tech — Community of entrepreneurs helping eachother indiehackers.com — Free stock photo site pexels.com — Free stock photo site (2) unsplash.com — Capture screenshots of web pages screenshot.guru — Free icons & illustrations lukaszadam.com/illustrations — Find the original url behind a short URL unfurlr.com — Place to search for icons (free and paid) iconfinder.com — If a site is down, access it trough coralcdn coralcdn.org — Find first tweet ever ctrlq.org/first — A simple online timer for your daily needs e.ggtimer.com — Tranfer big files for free wetransfer.com g — Scan any suspicious file virusscan.jotti.or — Protect your e-mail against spam scr.im — Download free fonts fonts.google.com — Share your screen with anyone join.me — Check your website for speed issues gtmetrix.com — Create self-destructing text nodes privnote.com — Guides to fix almost anything ifixit.com — Create a 10 minute e-mail 10minutemail.com — Find free software recommendation alternativeto.net — Create amazing designs for free canva.com — Check most shared content buzzsumo.com — Free flat illustration undraw.co — Organize your projects for free trello.com — Free Software to Collect Emails and boost Conversions notifia.io — See videos of how visitors use your site hotjar.com — Track website backlinks ahrefs.com — FB Messenger Tools/Bots manychat.com — Find out what Websites are built with builtwith.com — Watch Competitor Ads adbeat.com — Pitch/find Journalists & Bloggers justreachout.io — Find popular questions in your niche answerthepublic.com — Amazon Research Platform junglescout.com — Review Friendly People snagshout.com — Save articles you want to read and have them emailed to you mailist.app — Build a web app with no code bubble.is Want an easy way to earn free Bitcoin? is a Bitcoin faucet that lets you “roll” a virtual number once every 60 minutes. FreeBitco.in You always win some Bitcoin every time, but if you hit certain ranges of numbers, you win big: In a short period of time, I have won over 0.03 BTC. That is equal to over $236 USD. Not bad for doing nothing. And yes, they actually pay out. I have cashed out before and it was a quick and painless process. I was kind of hesitant at first, but is one of the few legitimate sites where you can earn Bitcoin for free. FreeBitco.in Give it a shot at FreeBitco.in

47 Useful Websites for Makers

How Useful are Computational Models to Traders in Their Decision Making?

As we bid farewell to the older syntax, let’s embrace the newer, more expressive way of creating objects. Introduction In C# 12, primary constructors play a crucial role in defining the behavior of classes and structs. By adding parameters to a struct or class declaration, you can create a primary constructor. Use Cases Pass primary constructor parameters as arguments to a base constructor invocation. This allows for seamless initialization of base class properties. Base Constructor Invocation: Primary constructor parameters are often used to initialize member fields or properties. By directly assigning values during construction. Member Field Initialization: Getting Started The struct & constructor declaration before C# 12. Please find below the example of the older syntax. public readonly struct Distance
{
    public readonly double Magnitude { get; }

    public readonly double Direction { get; }

    public Distance(double dx, double dy)
    {
        Magnitude = Math.Sqrt(dx * dx + dy * dy);
        Direction = Math.Atan2(dy, dx);
    }
} Newer Syntax Consider the following example, let's create a struct namedDistance with two primary constructor parameters: dx and dy. Later, we can compute two read-only properties—Magnitude and Direction—based on these parameters: public readonly struct Distance(double dx, double dy)
{
    public readonly double Magnitude { get; } = Math.Sqrt(dx * dx + dy * dy);
    public readonly double Direction { get; } = Math.Atan2(dy, dx);
} Invoking Base Class Primary Constructors Primary constructors can be leveraged in inheritance hierarchies. When a derived class has its primary constructor, it can invoke the base class’s primary constructor using the base keyword. Example: Bank Account Hierarchy Consider a base class BankAccount with a primary constructor for account number and initial balance: public class BankAccount(int accountNumber, decimal initialBalance)
{
      // Additional initialization specific to SavingsAccount
      // ...

} Now, a derived class SavingsAccount can inherit from BankAccount and invoke its primary constructor as shown below public class SavingsAccount(int accountNumber, decimal initialBalance) : BankAccount (accountNumber, initialBalance)
{
      // Additional initialization specific to SavingsAccount
      // ...
} Custom Behavior in Derived Classes Derived classes can further customize their behavior within the constructors. For instance, a CheckingAccount class might inherit from BankAccount but invoke the base constructor using the base keyword public class CheckingAccount : BankAccount
    {
        public CheckingAccount(int accountNumber, decimal initialBalance)
            : base(accountNumber, initialBalance)
        {
            // Additional initialization specific to CheckingAccount
            // ...
        }
    } Conclusion In the ever-evolving landscape of programming languages, C# 12 introduces a powerful feature: primary constructors. These concise and elegant constructs allow us to define the behavior of classes and structures with utmost clarity. As we bid farewell to the older syntax, let’s embrace the newer, more expressive way of creating objects. C# Programming🚀 Thank you for being a part of the C# community! Before you leave: If you’ve made it this far, please show your appreciation with a clap and follow the author! 👏️️ Follow us: | | | | | X LinkedIn Dev.to Hashnode Newsletter Tumblr Visit our other platforms: | | | | GitHub Instagram Tiktok Quora Daily.dev Also published here

Primary Constructors in C# 12: What They Are and Why They Are Useful

Managed detection and response (MDR) solutions are useful tools for organizations that cannot or don’t want to keep an extensive in-house team staffed. Whether they lack the expertise and other resources or simply prefer the experience of the as-a-service model, many organizations can benefit from an MDR solution if it is the right one. In order to implement MDR smoothly and ensure its efficacy, it is important to assess and research before investing in any solutions. The following steps will walk you through the key considerations and practices when searching for the right MDR solution provider for your organization. Determining if MDR Is Right for You Before considering what kind of MDR solution and which provider to choose, you must determine for your organization. There are many valid use cases for
MDR solutions, making for a broad appeal to many organizations with different
needs. whether MDR is a good fit Some organizations are smaller or otherwise restricted in their ability to build a security team. Companies with small or nonexistent security and IT teams can take advantage of MDR to fill in the gaps without the need to attract and onboard many skilled employees. MDR can also help organizations struggling with digital transformation processes and challenges. Moving storage and operations to the cloud can interfere with endpoint visibility, and MDR can help organizations restore that visibility. Companies whose cybersecurity posture is currently less than ideal can also benefit from the security expertise MDR provides. With help from experts, they can build a security strategy that is proactive and robust. However, if you have a mature cybersecurity program in place already or if your security environment is growing in complexity, you may need a more sophisticated solution than an MDR can provide. Familiarizing Yourself With the Differences in MDR Types If you have decided that MDR is the right move for your organization, the next step is to learn about the different forms that MDR can take. Providers are diverse in their approaches to MDR, and some may be a better fit than others for certain companies. Some of the are: common variables in MDR approaches · : Some MDR providers are focused primarily on detecting potential security incidents, while others will include additional steps in the security process, such as incident response, threat hunting, and remediation assistance. Detection Focus vs. Full Detection, Investigation, and Response Support · : Different providers will have different abilities regarding their services to meet each customer’s particular needs, making for a more or less fine-tuned security strategy. Level of Configuration : The reporting and analytics provided to customers might be more or less detailed, depending on the provider. “Basic metrics” will cover resolved incidents, but more detailed reporting might include things like detection coverage and average resolution times, enabling customers to gain visibility into their security posture. · Reporting and Analytics : Some solutions will employ more proactive threat detection and incident response methods than others. All MDR solutions offer threat detection and incident response but differ in how they approach threats and threat hunting. · Proactive Threat Hunting There are a number of different technologies and tools that MDR can employ, and providers will vary in how they operate and integrate those tools. Some are with products already in use, while others work independently. · Bring-Your-Own (Hybrid) vs. Fully Vendor-Supplied Stacks: solutions that integrate : Some MDR services are delivered through a cloud platform that can provide central management of the features, including log management and orchestration. · Cloud Solutions These are solutions that go beyond endpoint detection and response and cover other areas such as email, cloud services, and industrial control systems. · Managed XDR: Providers may differ in their service level agreements (SLAs), offering different levels and kinds of support. An SLA should stipulate things like . · Service Level Agreements: response times and the vendor’s commitment to customer support Vetting Providers Choosing the right MDR provider requires looking into potential vendors beyond just the services they offer. It is also important to ensure that the vendor you choose is esteemed in the industry and well-reviewed by its current customers. This will give you realistic insight into the kind of service you can expect, which affects your ability to build a lasting relationship with the vendor. In order to obtain visibility into the performance of the solutions you are considering, some independent research institutions like put together reports and resources on the state of the industry, the efficacy of different tools, and the dependability of the solutions. Gartner Selecting the right provider for your organization and its needs doesn’t need to be a daunting task, but it is an important process that requires care and attention. It is vital to find a vendor that meets the particular needs of your organization regarding tools offered, services provided, configurability, and other variables. Conclusion With any security solution, it is essential to understand your needs and research tools and vendors before investing in implementation. This is especially true of MDR solutions, which have many variables and can differ significantly from vendor to vendor. The nature of MDR necessitates an in-depth examination of your organization’s needs and wants in a solution, the industry standards to expect, and the nuances of what each vendor has to offer.

MDR Provider Checklist: A Useful Guide

Pydantic is a popular open-source Python library for data validation and modeling. It offers tools to define the structure and rules of your data, ensuring its consistency and reliability. Pydantic is looking to have a lot of potential in AI, in regards to data preprocessing and cleaning. Its ability to validate and serialize data makes it an ideal choice for handling the large and complex datasets often used in AI applications. Additionally, Pydantic’s support for type annotations and type checking can help catch errors early in the development process, making it easier to build and maintain reliable AI systems. Not just that but Pydantic’s integration with popular AI libraries such as TensorFlow and PyTorch, allows for seamless data manipulation and model training. Why Use Pydantic Data Validation Pydantic enforces data types and constraints you define, catching invalid entries before they cause issues. This is crucial in AI, where incorrect data can lead to biased or inaccurate models. Data validation is a process that ensures the data entered into a system is correct and useful. It checks the accuracy and quality of data before it’s processed. Here are a few examples of data validation using the Pydantic library in Python: : Pydantic uses Python-type hints to validate data. For instance, in the following code, the class has attributes , , , and with specific type hints. Pydantic validates the data against these type hints. Type Hints Validation Fruit name color weight bazam If the data doesn’t match the type hints, a validation error is raised. from typing import Annotated, Dict, List, Literal, Tuple
from pydantic import BaseModel

class Fruit(BaseModel):
    name: str
    color: Literal['red', 'green']
    weight: Annotated[float, Gt(0)]
    bazam: Dict[str, List[Tuple[int, bool, float]]]

print( 
    Fruit(
        name='Apple', 
        color='red', 
        weight=4.2, 
        bazam={'foobar': [(1, True, 0.1)]}
    )
) : Pydantic also has a strict mode where types are not coerced, and a validation error is raised unless the input data exactly matches the schema or type hint. Here’s an example: Strict Mode Validation from datetime import datetime
from pydantic import BaseModel, ValidationError

class Meeting(BaseModel):
    when: datetime
    where: bytes

try:
    m = Meeting.model_validate(
        {'when': '2020-01-01T12:00', 'where': 'home'}, 
        strict=True
    )
except ValidationError as e:
    print(e) : Pydantic allows for customizing validation via functional validators. For instance, in the following code, a custom validator is used to check if the attribute is ‘now’ and if so, it returns the current datetime. Custom Validators when from datetime import datetime, timezone
from pydantic import BaseModel, field_validator

class Meeting(BaseModel):
    when: datetime

    @field_validator('when', mode='wrap')
    def when_now(cls, input_value, handler):
        if input_value == 'now':
            return datetime.now()
        when = handler(input_value)
        if when.tzinfo is None:
            when = when.replace(tzinfo=timezone.utc)
        return when These examples demonstrate how Pydantic can be used for data validation in Python, ensuring that the data being processed matches the expected types and constraints Data Modeling Define the structure of your data, including nested objects and relationships. This makes it easier to work with complex data sets and helps keep your code organized. Serialization/Deserialization Convert data between different formats like JSON, Python dictionaries, and others. This allows seamless integration with external APIs and data sources. How Is Pydantic Useful in AI? One of the burgeoning challenges in the realm of artificial intelligence (AI), particularly when working with Large Language Models (LLMs), is structuring responses. These sophisticated models can generate vast quantities of unstructured data, which then necessitates meticulous organization. This is where Pydantic, a data validation and settings management library in Python, steps in with an elegant solution. It simplifies the formidable task by enabling developers to define a clear model for their data, ensuring that the responses from LLMs are well-structured and conform to expected formats. Guaranteed structure output with Ollama and Pydantic. pic.twitter.com/YF8cFAsaap — jason (@jxnlco) February 8, 2024 Leveraging Models to Structure Large Language Model Responses When interfacing with LLMs, it’s crucial to not just receive data but to parse and utilize it effectively. Pydantic facilitates this by allowing the creation of models that serve as blueprints for the expected data. This means that developers can predefine the structure, types, and requirements of the data they are to handle, making it easier to manage and ensuring that the information is in the correct form for further processing or analysis. Pydantic 2.7: Optional Support for Incomplete JSON Parsing The upcoming Pydantic version 2.7 introduces optional support for parsing and validating incomplete JSON, which is particularly beneficial for AI applications. This feature aligns perfectly with the needs of developers processing streamed responses from an LLM. Instead of waiting for the entire payload, developers can start processing the data as it arrives, enabling real-time data handling and reducing latency in the AI system’s response. Integration With DSPy and JSON Schemas Furthermore, there is ongoing experimentation with combining , Pydantic types, and JSON Schemas to further enhance data validation and transformation capabilities. Such integrations broaden the potential applications of Pydantic in the AI space by leveraging the advantages of each tool, leading to more robust and versatile data-handling solutions. DSPy OpenAI Function Calls and Query Plans An often-underappreciated aspect of OpenAI’s capabilities is its function-calling feature that permits the generation of entire query plans. These plans can be represented by nested Pydantic objects, adding a structured and executable layer over retrieval and Reading Comprehension Answer Generator (RAG) pipelines. By adopting this method, developers can obtain plan-and-execute capabilities that allow for handling intricate queries over assorted data sources. An example of this in practice is , which capitalizes on such a layered approach to accessing and for generating structured data. LlamaIndex Also published here

Pydantic: What It Is and Why It's Useful

In the ever-evolving landscape of software development, finding the right resources can be a daunting and time-consuming task. I've decided to help by curating a compilation of some of my favorite GitHub repositories, that will help you to improve your workflow and skills. This list includes valuable GitHub repositories for topics like learning, project ideas, career opportunities, data collections, database tools, and security. I've included direct links, descriptions, and visuals so that you can get an initial impression of each extension right away. 1. (Sponsored) esProc SPL ⭐ GitHub stars: 4K+ esProc SPL is a next-generation data processing language, that integrates with SQL databases and supports advanced analytics, and parallel processing. With esProc SPL, you can effortlessly transform and analyze massive datasets, uncover hidden patterns and trends, and derive actionable insights from your data. Some of the top features include: Experience fast processing speeds with esProc SPL's optimized algorithms and efficient memory management. ⚡ Top Performance: Access a comprehensive collection of pre-built functions, catering to a wide range of data manipulation tasks. 🚀 Rich Function Library: Enjoy a clear and concise syntax that fosters code readability and maintainability. ✨ Intuitive Syntax: Seamlessly integrate esProc SPL scripts into Java programs via JDBC, bridging the gap between data analysis and application development. 👨‍💻 Java Integration: Execute esProc SPL scripts independently, expanding your data processing capabilities beyond traditional limitations. 🧙‍♀️ Independent Execution: ⭐ Support their GitHub repo: https://github.com/SPLWare/esProc 🌱 Learning 2. A-to-Z Resources for Students ⭐ GitHub stars: 16K+ This repository is a comprehensive collection of resources beneficial for students, covering a wide range of topics. It includes study materials, programming resources, and tools that can aid in academic and personal development. 3. Learning Resources for Developers ⭐ GitHub stars: 5K+ This repository gathers an extensive list of learning resources for developers. From tutorials and courses to resources and tools, it serves as a valuable one-stop-shop for enhancing programming skills. 4. Every Programmer Should Know ⭐ GitHub stars: 75K+ A compilation of essential knowledge that every programmer should be aware of. Covering a variety of topics, it provides insights into algorithms, data structures, system design, and other fundamental concepts. 📀 Data 5. Public Datasets Collection ⭐ GitHub stars: 57K+ This repository curates a vast collection of public datasets from various domains. It's a valuable resource for data scientists and developers looking for high-quality datasets to analyze and derive insights from. 6. JSON Datasets Collection ⭐ GitHub stars: 3K+ This repository provides a curated list of datasets in JSON. It's a handy reference for developers working with JSON data in their projects. 7. Useful Database Tools ⭐ GitHub stars: 3K+ This repository compiles a list of tools and utilities for working with databases. From database design to management and optimization tools, it's a go-to resource for developers dealing with database-related tasks. 💡 Ideas 8. Everything for Indie Hackers ⭐ GitHub stars: 8K+ Focused on independent developers and creators, this repository gathers resources, tools, and advice for individuals pursuing indie projects. It's a supportive community-driven collection for those looking to thrive independently. 9. Machine Learning Project Ideas ⭐ GitHub stars: 7K+ A repository filled with project ideas for Machine Learning developers. It's a great source of inspiration for developers seeking new and interesting projects to work on. 10. Awesome Stacks for Apps ⭐ GitHub stars: 3K+ This repository showcases various technology stacks you can use. It's a valuable resource for developers exploring different tech stacks and architectures for their projects. 11. Frontend Dev Bookmarks ⭐ GitHub stars: 40K+ A curated collection of bookmarks for frontend developers, covering a wide range of topics from appearance and UI to compatibility and design workflow. It's a handy reference for staying updated on best practices and tools in the front-end development landscape. 💼 Career 12. CV Templates ⭐ GitHub stars: 21K+ Some useful templates for creating impressive curriculum vitae (CVs). It's a valuable tool for job seekers, helping them craft visually appealing resumes. 13. Resume Best Practices ⭐ GitHub stars: 6K+ This repository compiles various practical examples to use in resumes. It serves as a comprehensive guide for individuals aiming to enhance their resume presentation, improving their chances of getting a job. 14. Remote Work Resources ⭐ GitHub stars: 27K+ Focused on remote job opportunities, this repository provides a curated list of companies and job boards offering remote work. It's a go-to resource for those seeking remote employment options. 🔐 Security 15. Everything Security ⭐ GitHub stars: 11K+ A collection of awesome software, libraries, documents, books, resources, and cool stuff about security. 16. Web Security Practices ⭐ GitHub stars: 10K+ Focused specifically on web security, this repository gathers resources and tools to help developers secure their web applications. It covers best practices, tools, and frameworks for web security. 17. Privacy Focused Services ⭐ GitHub stars: 11K+ A curated list of resources and tools to enhance online privacy. It covers topics such as privacy-focused software, encryption tools, and practices to protect personal information online. 18. Privacy Tools Collection ⭐ GitHub stars: 5K+ A repository that curates privacy-related software and services. This collection includes tools, guides, and best practices to maintain digital privacy in various online activities. 19. Personal Security Checklist ⭐ GitHub stars: 13K+ A valuable checklist and resources to improve personal online security. It's a practical guide for individuals looking to protect their digital privacy. Writing has always been my passion and it gives me pleasure to help and inspire people. If you have any questions, feel free to reach out! Make sure to receive the best resources, tools, productivity tips, and career growth tips I discover by subscribing to ! my newsletter Also, connect with me on , , and ! Twitter LinkedIn GitHub Also published . here

The 19 Useful GitHub Repositories You Need to Become a Better Developer 🔥🚀

19 টি দরকারী GitHub সংগ্রহস্থল যা আপনাকে আরও ভাল বিকাশকারী হতে হবে 🔥🚀

Die 19 nützlichen GitHub-Repositories, die Sie benötigen, um ein besserer Entwickler zu werden 🔥🚀

Los 19 repositorios de GitHub útiles que necesitas para convertirte en un mejor desarrollador 🔥🚀

Les 19 référentiels GitHub utiles dont vous avez besoin pour devenir un meilleur développeur 🔥🚀

एक बेहतर डेवलपर बनने के लिए आपको 19 उपयोगी GitHub रिपॉजिटरी की आवश्यकता है 🔥🚀

より良い開発者になるために必要な 19 の便利な GitHub リポジトリ 🔥🚀

더 나은 개발자가 되기 위해 필요한 19가지 유용한 GitHub 리포지토리 🔥🚀

Os 19 repositórios GitHub úteis que você precisa para se tornar um desenvolvedor melhor 🔥🚀

19 полезных репозиториев GitHub, которые вам нужны, чтобы стать лучшим разработчиком 🔥🚀

Daha İyi Bir Geliştirici Olmak İçin İhtiyacınız Olan 19 Faydalı GitHub Deposu 🔥🚀

19 kho lưu trữ GitHub hữu ích mà bạn cần để trở thành nhà phát triển giỏi hơn 🔥🚀

成为更好的开发人员所需的 19 个有用的 GitHub 存储库 🔥🚀

The cryptocurrency world may look a bit complicated from inexpert eyes, but there are a lot of free tools to make it easy for everyone. You can find real-time information about prices, stats, events, maps, hacks, addresses, and much more for free. Do you already know where to look? In this exploration, we’ll unveil . Whether you're a seasoned trader or a curious beginner, these resources open doors to data-driven insights, enabling you to make informed decisions and stay ahead in the ever-changing crypto world. Let's check! over five essential digital companions that empower enthusiasts and investors alike to delve into the world of cryptocurrency data Prices and stats Likely the first thing that comes to your mind is the famous website (CMC), where you can see prices, percentages, volumes, supplies, charts, trending coins, and even some news. There are more options with their own set of features, though. For instance, on you can find coins and tokens organized by category (applications, consensus type, sector, and underlying chain), and other useful data like news, insights, reports, podcasts, and directories. CoinMarketCap CryptoSlate is another popular alternative. It’s very similar to CMC, and it has categories like CryptoSlate. However, CoinGecko it’s considered a bit more objective because CMC is fully owned by the exchange Binance, while CoinGecko is independent. To see even more data about a specific coin, could be your ally. It has the classic list by market capitalization, but you can see more stats and charts in every coin. That includes net worth growth, large transactions, concentration, volume by fiat currency, social media activity, development, real-time trades, and a forum. CryptoCompare Calendar and events There are numerous crypto calendars around, all similar but with their own features. partnerships, upcoming hackathons, conferences, digital events (AMAs, lives, etc.), forks, Initial Coin Offerings (ICOs), meetups, and more, depending on the chain and dates selected. They often show token updates, announcements, exchange listings, airdrops, releases, token burns, CoinMarketCap also offers a simple calendar, but there are other platforms specialized in it. They include CoinMarketCal, Coindar, and CryptoKal. In some of them, you can add your own events and customize your options. On the other hand, another interesting alternative is , a calendar to discover economic events worldwide that could affect the crypto market at a determined moment. They include a legend for low or high-impact events, central bank rates, and impact charts. CryptoCraft Chain explorers Transparency is a great advantage in public chains, so we can discover all data about crypto transactions —starting with their legitimacy. Even private coins have their own explorers for the involved actors to check, and we also have multi-currency explorers available as user-friendly and free-to-use websites. , and explore the intricate details of numerous networks. All of this from a search bar if you have specific data (wallet address, transaction hash, block number, token contract, etc.) or through a list of coins and categories for more general insights. By using these tools, anyone could trace transactions, inspect wallet balances, monitor network activity, delve into smart contract interactions (previously Blockchain.info) is probably the most used multi-chain crypto explorer, and also the first one of its kind. It works with Bitcoin, Bitcoin Cash, and Ethereum; and also includes prices, charts, last transactions and blocks, news, two types of hot wallets, and its own exchange. Other explorers offer more assets, though. Blockchain.com and including features for ERC-20 (internal tokens on Ethereum), ERC-721 (mostly NFTs), and ENS (domain names on Ethereum). Besides, it offers additional functions like an anonymous portfolio tracker, node explorer, news aggregator, chain comparing, and release monitor (calendar). is another popular option, working with at least 17 chains Blockchair Other options include , which supports 36 networks, and , which supports +120 networks in one place. The latter also provides services for developers, like APIs, subscriptions, and nodes as a service. OKLink TokenView Maps and databases These tools provide a dynamic overview of the global crypto landscape, offering a visual representation or quick list of For instance, in we can find a real-time map of Bitcoin nodes, and shows 34,400+ venues where to buy products and services with cryptocurrencies worldwide. nodes worldwide, shopping places, network activity, and other numerous projects and services. BitNodes CoinMap For their part, on websites like , we can find useful databases, services, and projects from different networks. Examples include cross-chain bridges (like ), staking services, scaling solutions, venture capital companies, OTC desks, lending and payment services, analytic tools, projects by ecosystem, news websites, and much more. is another directory, this one separated by categories. It also offers reviews, interviews, guides, and market updates. Decentralized Finance Counterstake CryptoAtlas Hacks + Scams Alerts Sadly, crypto hacks (but especially DeFi hacks) are quite common, and we should be prepared for them. Several tools could give us real-time alerts and insights about crypto hacks and scams. The first one we can mention is Twitter (X), where we can find the most recent news. The latter even has its own Chrome security extension ( ) for crypto activities. Accounts like , , and post valuable information in real-time. CertiK Alert Chainabuse PeckShield Alert AegisWeb3 In addition, we can find several databases that list crypto and DeFi hacks, including stolen funds, chain, type of issue, date, and other details. The by DeFiYield, , and the by the US Department of Financial Protection and Innovation (DFPI) are only some of them. They’re for already-done hacks, though. If you want to consult the trust level of a certain platform, coin, or brand, you can search on sites like and . Rekt database Rekt News Crypto Scam Tracker TrustPilot ScamAdviser Obyte Tools Of course, Obyte also has its own tools to explore relevant data and stats. We can mention first the data explorer , In addition, it’s also available a list of chatbots, polls, and a ledger timeline. All this data could help in the creation of smart contracts without coding. Obyte.io where users can find addresses for oracles (data feeds), internal tokens, attestors, Dapps, autonomous agents, and order providers. In contrast, developers also count on and documentation for starting. This includes several libraries, a headless wallet, an Oscript editor, an Autonomous Agents Testkit, and numerous guides to build in the Obyte ecosystem. A testnet is also available for developers and users alike to test the Obyte features without technical risks or real funds involved. several tools The website Separately, on , anyone can consult data about liquidity mining in Oswap.io and the distribution of rewards to liquidity providers. For more detailed information, of course, Obyte has its own where you can see the Directed Acyclic Graph (DAG) in real-time and search by unit, address, or asset (only for public tokens). Obyte Stats shows data like connected wallets, nodes, richest addresses, order providers, and transaction history. Liquidity Obyte ledger explorer Finally, we can mention the , the and the to discover guides, DAG concepts, specific features, releases, and announcements. Considering all the above, Obyte stands as a comprehensive and transparent ecosystem, offering numerous tools for users and developers alike to navigate the decentralized world without barriers. Remember, if you have suggestions or comments, you can contact us via or ! Obyte whitepaper Obyte Wiki, Obyte blog Discord Telegram Featured Vector Image by Freepik

5+ Digital and Free Tools You Need to Discover Useful Crypto Data

দরকারী ক্রিপ্টো ডেটা আবিষ্কার করার জন্য আপনার প্রয়োজন 5+ ডিজিটাল এবং বিনামূল্যের টুল

5+ digitale und kostenlose Tools, die Sie benötigen, um nützliche Kryptodaten zu entdecken

Más de 5 herramientas digitales y gratuitas que necesita para descubrir datos criptográficos útiles

5+ outils numériques et gratuits dont vous avez besoin pour découvrir des données cryptographiques utiles

उपयोगी क्रिप्टो डेटा खोजने के लिए आपको 5+ डिजिटल और निःशुल्क टूल की आवश्यकता है

有用な暗号データを発見するために必要な 5 つ以上のデジタル無料ツール

유용한 암호화폐 데이터를 발견하는 데 필요한 5가지 이상의 디지털 및 무료 도구

Mais de 5 ferramentas digitais e gratuitas que você precisa para descobrir dados criptográficos úteis

5+ цифровых и бесплатных инструментов, необходимых для поиска полезных криптоданных

Yararlı Kripto Verilerini Keşfetmek İçin İhtiyacınız Olan 5+ Dijital ve Ücretsiz Araç

Hơn 5 công cụ kỹ thuật số và miễn phí bạn cần để khám phá dữ liệu tiền điện tử hữu ích

发现有用的加密数据所需的 5+ 个数字和免费工具

A lot of mobile advertisers fail to scale their ad campaigns on various ad platforms before they even begin. When it comes to , tossing aside your gut feelings won't cut it. While it's a challenging endeavor, with a strategic approach, you can navigate this terrain and maximize your ad campaigns' potential. scaling In this article, I'll explore the key principles of scaling, common missteps, and proven strategies we have developed at , a performance marketing agency, to ensure your ad campaigns thrive. AdQuantum Understanding Scaling and Its Purpose Scaling refers to increasing the daily ad budget for a given project. Every app is unique, with , distinct benchmarks, , average revenues, and lifetime value rates. monetization strategies unit economics These variables should be factored in before employing uniform scaling strategies across varied products. While some campaigns may accommodate doubling the budget daily without hitches, others may falter with even minimal changes. There are two scaling methods: vertical and horizontal. Vertical scaling involves increasing budgets and bids within campaigns, while horizontal scaling entails making changes to campaign settings, optimization, and duplicating campaigns. So, it comes down to deciding if you want to duplicate a profitable campaign or increase its budget. The choice between scaling types should be case-specific. On paid social platforms, vertical scaling – beginning with a budget increase followed by raising the bid – is typically recommended. However, blending both techniques often yields better results on these platforms. only allow vertical scaling. Horizontal scaling is futile since duplicated campaigns target the same audience as the original one. Mobile ad networks Before initiating campaign scaling, ensure your product is ripe for it. A product is deemed scale-ready when it demonstrates positive unit economics concerning paid user acquisition – indicating that the campaign has consistently met its KPIs for at least 2-3 days. From a marketing perspective, before scaling: Engage in creative testing. Ascertain the stability of ad campaigns, ensuring they don't incur abrupt cost hikes as budgets escalate. Ensure the user acquisition team has deduced the threshold metrics correlating ad spent to product profitability – surpassing these metrics could be detrimental. While preparation demands considerable time and effort, the returns justify the investment. Relying solely on intuition can deplete budgets and undermine the efficacy of campaigns. Thus, allocating time for refining and enhancing your marketing strategies is pivotal for scaling success. Pitfalls of Scaling Scaling, while promising, entails challenges that warrant meticulous attention. Below are potential pitfalls in scaling ad campaigns: Audience Limitations Every product has its limitations: the target audience is limited to a specific city or country, the level of user’s interest in the product, and the ability to engage users within an app. Additionally, advertisers often vie for the same audience, leading to or getting overshadowed by competitors with larger budgets. ad fatigue Simply having a high average revenue per user (ARPU) doesn't guarantee that a project will be more successful than its competitors. When it comes to user acquisition, a higher ARPU means users on average spend more, but it also means a smaller percentage of users can afford it. Typically, there are more people willing to pay $30 for a subscription than those willing to pay $100. Conversely, projects with lower subscription costs face greater competition for the same audience. That's why it's crucial to develop an effective user acquisition strategy before you start scaling to attract a steady stream of new users without suffering substantial losses. Cannibalization This occurs when one campaign eats into another's traffic. Blindly duplicating campaigns can result in them competing against each other. To prevent cannibalization, implement a strategic approach to campaign duplication by diversifying targeting parameters. Experiment with various audience segments, ad creatives, and GEOs to reach new audiences without overlap. Regularly analyze the performance of your campaigns to identify potential overlaps and optimize budget allocation for maximum efficiency. Abrupt Budget Increases Sometimes, when an advertiser sees a campaign performing 2-3 times better than the target KPI, they impulsively start to significantly increase the budget for this campaign. However, in such cases, the media buying process usually gets disrupted. In practice, it's better to increase the budget gradually. For example, if a campaign performed well at $300 per day, try keeping it at $500-600 per day for a few days before jumping to a budget of several thousand dollars. Premature Budget Increases To avoid impulsive decisions, consider specific factors before increasing the campaign budget. Firstly, ensure that the campaign has consistently performed well over a longer period of time of not less than 3 days. Secondly, make sure the campaign has completed its learning phase. And thirdly, ensure it has already achieved several purchases at the target cost. Auction Limitations No secret auctions have limitations. It's not uncommon for campaigns to experience a sudden decline, even after months of successful performance, resulting in a failure to attract the desired target audience. And the reasons for that may be: Getting pushed out of the auction – this issue may arise when competing projects allocate larger budgets toward more compelling creatives, so you need to either increase your spending or find a better creative. Product-channel fit – when a product reaches the limit of its available audience within the ad channels it fits, further spending growth becomes challenging. This is mainly applicable to niche products. Competition in the auction within one product – this problem occurs when multiple teams are working on a project within the same advertising channel, such as both an agency and a client running campaigns simultaneously. There can be competition for top creatives, and if your ads aren’t strong enough, you may be outperformed, and your audience will be taken away. Thus, creatives become a crucial factor for scalability. The quality of campaign optimization – if a campaign lacks optimization data within the conversion window, it can limit the campaign's scalability. Thus, scaling becomes impossible. Algorithm changes and platform update scans also impact campaign performance and scalability. Staying updated with platform changes and adjusting campaign strategies accordingly is crucial to mitigate potential limitations. Misguided Scaling Approach Doubling the campaign budget may seem like an easy solution, but it doesn't always yield the desired results. A viable alternative is campaign duplication. Gradually increase spend on the main campaign, and create 1-2 duplicates with minor audience and placement variations. This step-by-step approach allows for a better evaluation of the impact of increased spend and provides a smoother path to scaling. Creative Fatigue Ad creatives eventually experience fatigue, evident when click-through rate (CTR) and install rate (IR) drop while the cost per thousand (CPM) rises. Even in such cases, campaigns can still perform decently but not at their previous volume or level. To overcome creative fatigue, it's crucial to be prepared with multiple reserve creative approaches. Instead of aggressive scaling, have new and fresh ad creatives ready to replace exhausted ones. By regularly refreshing your ad content and introducing new creative variations, you can maintain user engagement while avoiding creative fatigue. Summing Up Mastering mobile ad campaign scaling is both an art and a science. It demands a blend of strategic foresight, a keen understanding of your audience, and a vigilant eye on the ever-changing digital landscape. Remember, scaling isn't just about increasing budgets; it's about making calculated decisions that align with your product's unique metrics and market dynamics. A thoughtful, well-prepared strategy in advance is your roadmap to navigating this complex terrain. If you have any questions about mobile ad campaign scaling or need further clarification on any points discussed in this article, feel free to reach out to me. Just ping me on LinkedIn, and I'll be more than happy to make things clearer for you. Scale wisely and confidently, and watch your campaigns soar to new heights!

Mastering Mobile Ad Campaign Scaling: Common Pitfalls and Useful Tips

মোবাইল বিজ্ঞাপন প্রচারাভিযান স্কেলিং আয়ত্ত করা: সাধারণ সমস্যা এবং দরকারী টিপস

Die Skalierung mobiler Werbekampagnen meistern: Häufige Fallstricke und nützliche Tipps

Dominar el escalado de las campañas publicitarias móviles: errores comunes y consejos útiles

Maîtriser la mise à l'échelle des campagnes publicitaires mobiles : pièges courants et conseils utiles

मोबाइल विज्ञापन अभियान स्केलिंग में महारत हासिल करना: सामान्य नुकसान और उपयोगी युक्तियाँ

モバイル広告キャンペーンのスケーリングをマスターする: よくある落とし穴と役立つヒント

모바일 광고 캠페인 크기 조정 마스터하기: 일반적인 함정과 유용한 팁

Dominando o dimensionamento de campanhas publicitárias para celular: armadilhas comuns e dicas úteis

Освоение масштабирования мобильной рекламной кампании: распространенные ошибки и полезные советы

Mobil Reklam Kampanyasını Ölçeklendirmede Ustalaşmak: Sık Karşılaşılan Tuzaklar ve Yararlı İpuçları

Nắm vững quy mô chiến dịch quảng cáo trên thiết bị di động: Những cạm bẫy phổ biến và mẹo hữu ích

掌握移动广告活动规模：常见陷阱和有用提示

Of Objects placed on a light Ground, and why such a Practice is useful in Painting

While may have a difficult pronunciation😀, it is a Swiss knife in networking with its ability to achieve amazing things. PyATS Despite simplifying the way we work with a plethora of tools, some companies still have a culture of fear where they don't want to touch what's working. NetDevOps But with PyATS, there's no need to fear as it can automate and simplify network engineering tasks. I had my first hands-on experience with PyATS in 2020 and have since become an evangelist of the tool. Thanks to John Capobianco, also known as the Bob Ross of automation, I continue to explore PyATS's capabilities and possibilities. What is pyATS PyATS has been made public in 2017 and stands for . It is a Python testing framework developed internally at Cisco, then made open source, and is now well-adopted worldwide for performing network tests. Cisco runs millions of tests monthly, including regression, sanity, and scale tests. Python Automated Test System Additionally, the PyATS framework has a Python library called , which contains all the network information and works on top of PyATS. Although some network engineers may have difficulty understanding the relationship between the two tools, it is crucial to note that where there is PyATS, Genie is present. Genie is the core framework and genie is the pyATS standard library. is the SDK that contains everything we need for network test automation. pyATS Genie Key features written in python,pyATS remains the most powerful testing framework for network engineers, some of the key features are : : can parse unstructured data into structured data across multiple vendors, thanks to its plethora of parsers Multi-vendor parsing : pyATS is able to profile network state and perform differential comparisons. Profiling and differential comparisons : pyATS provides frameworks to structure and provide reporting for tests Testing frameworks : One of the key advantages for developers in adopting a testing framework is the ability to start with small, simple, and linear test cases and then gradually scale up to larger and more complex test suites. This allows for a more controlled testing process, as developers are able to identify and address issues in a step-by-step manner. Scalability : pyATS is a testing framework that emphasizes reusability and data-driven testing, making it ideal for Agile development. Data-driven and reusable testing The layers the pyATS framework is composed of various layers, and here are the following: pyATS The core framework plays a pivotal role in managing low-level mechanics, such as configuring device connections and executing device commands. Additionally, it serves as the foundation for an essential framework component known as the , which outlines the topology to be tested. The testbed encompasses various objects, including devices, interfaces, and links, all represented as Python objects that can be interacted with. These objects offer multiple methods for carrying out actions and operations on them. testbed Have you explored all the awesome methods that the testbed offers? These nifty features make it super easy for us to perform various actions, such as: device.connect()
device.ping("192.168.1.1")
device.execute("show version") Here, the snippet does the following action: () : the line establishes a connection to the network device, and the object represennt a network device, and the () method is used to connect to it. device.connect device connect (“192.168.1.1”): The line sends a ping from the network device to the IP address “192.168.1.1”; the ping method is used for reachability of the specified IP address from the network device. device.ping (“show version”): The line executes the command “show version” on the network device running and shows the output; the execute method is used to run any command on the network device and retrieve its output. device.execute Cisco IOS Genie Genie is a powerful tool that operates on the Pyats core layer, skillfully leveraging and abstracting the libraries and frameworks presented by the core. This is where the true magic takes place! With an impressive library and over 1500 parsers at its disposal, Genie expertly converts raw text into structured text. Integrations Atop the genie layer, we have the integrations layer that provides a wide range of libraries and plugins to deeply abstract the underlying pyATS/genie layers. This enables network engineers to fully utilize pyats at a higher level and take advantage of its capabilities. PyATS core components powerful and written in python,pyATS offers the following components : : it’s the original pyATS framework The foundational platform (Genie): it’s the platform vendor-agnostic library Library (Xpresso): it’s a beautiful web dashboard to manage test suites,testbeds, test results, and their insights. Web dashboard Where to find pyATS? With powerful and growing communities from internet and network junkies,pyATS can be found here : Cisco Devnet offers the best , and it goes beyond Cisco! documentation when it comes to pyATS to explore the documentation: and downloadable via PyATS PyPI Quick setup to install, there are some requirements follow and here are the following : python 3.5+ must used or installed choose a Linux distribution of your choice if you are using Windows,WSL2 is a great choice creating a Python virtual environment #Create a virtual environment 
python3 -m venv pyATS_Test
#Activate the virtual environment 
source pyATS_Tests/bin/activate installing pyATS now, we are already inside our newly created virtual environment pip3 install "pyats[full]==23.9" pyATS is the latest version to update to or install 23.9 validating the installation How do we know if pyATS and Genie have been correctly installed? Here is the step: $ pip3 freeze | grep -E "pyats=|genie="  
genie==23.9
pyats==23.9
Version getting a CLI from a device let’s see a use case where we can get simple CLI output ( ) from an IOS XR device. show IP interface brief All the snippets you see were runned on Cisco IOS Building a testbed A great way to connect to a device is to create a testbed written in YAML, and the information will be used to connect to the device and send the requested commands. # Step 0: list of devices
devices:
  iosxr1:
    # Step 1: OS and Type
    type: iosxr-Prod
    os: iosxr
    # Step 2: credentials
    credentials:
      default:
        username: admin
        password: Hacker@204k
    # Step 3: connection parameters
    connections:
      vty:
        protocol: ssh
        ip: test-mgmt.talesoftechnology.com
        port: 8080 What is the testbed? Step 0: : This is where you define the devices in your network. In this case, there’s one device named list of devices iosxr1 Step 1: : This specifies the operating system (os: iosxr) and the type (type: iosxr-Prod) of the device . OS and Type iosxr1 Step 2: : This is where you provide the login credentials for the device. The default credential set includes a username (username: admin) and a password (password: ). credentials Hacker@204k Step 3: : This section contains the details needed to connect to the device. The vty connection uses the SSH protocol (protocol: ssh) to connect to the IP address on port . connection parameters test-mgmt.talesoftechnology.com 8080 The testbed is ready; let’s make our first pyATS script: What are we going to achieve? we are going to connect to the device and collect a CLI output of the command. show IP interface brief from pyats.topology import loader

# Step 0: load the testbed
testbed = loader.load(f'./testbed.yaml')

# Step 1: testbed is a dictionary. Extract the device iosxr1
iosxr1 = testbed.devices["iosxr1"]

# Step 2: Connect to the device
iosxr1.connect(init_exec_commands=[], init_config_commands=[], log_stdout=False)

# Step 3: saving the `show ip interface brief` output in a variable
show_interface = iosxr1.execute('show ip interface brief')

# Step 4:printing the `show interface brief` output
print(show_interface)

# Step 5: disconnect from the device
iosxr1.disconnect() What does the script do? : It loads the testbed configuration from a file named This file contains details about the network devices, such as their IP addresses, credentials, and connection parameters. Step 0 testbed. yaml. : It extracts the device from the testbed. The testbed is essentially a dictionary where the keys are the device names and the values are objects representing the devices. Step 1 iosxr1 : It establishes a connection to the device . and parameters are used to specify commands that should be run immediately after connecting to the device. In this case, no commands are specified. The log_stdout=False parameter is used to prevent the output of commands from being printed to stdout. Step 2 iosxr1 The init_exec_commands=[] init_config_commands=[] : It executes the command show IP interface brief on the device and saves the output in a variable named This command displays a brief summary of the IP interfaces on the device. Step 3 show_interface. : It prints the output of the show ip interface brief command to stdout. This allows you to see the status of the IP interfaces on your console. Step 4 : Finally, it disconnects from the device. Step 5 This script is useful for automating tasks on network devices, such as gathering information or configuring settings. Please note that you need to have pyATS installed and a valid file for this script to work. testbed.yaml Executing the script in our example, the file is named pyats_cli_show.py from the bash terminal, we can execute python pyats_cli_show.py The output! Interface                      IP-Address      Status          Protocol Vrf-Name
Loopback99                     1.1.1.99         Up              Up      default 
Loopback100                    1.1.1.100        Up              Up      default 
Loopback999                    unassigned       Up              Up      default 
MgmtEth0/RP0/CPU0/0            192.168.1.1      Up              Up      default 
GigabitEthernet0/0/0/0         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/1         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/2         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/3         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/4         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/5         unassigned      Shutdown        Down     default 
GigabitEthernet0/0/0/6         unassigned      Shutdown        Down     default Our short demo showed how to build a testbed and how to collect our first CLI output from the device. Where does pyATS fit in netdevOps? pyATS plays a crucial by providing a framework for network test automation; it fits well in the domain by observing each part of the slice, presented by Cisco Devnet during a tech conference in 2019. role in NetDevOps stateful test & validation In summary, pyATS is an essential tool in the NetDevOps toolbox that helps streamline and standardize network operations and testing. Use cases pyATS is used worldwide! Here are some use cases where it shines : Network Health Check Automation Network Troubleshooting and Debugging Network Test Automation Conclusion PyATS is a network testing framework that was initially developed at Cisco, where it was used to run millions of tests every month. In 2017, Cisco made pyATS open source, though some core components are still proprietary to Cisco systems. Today, pyATS has become the de facto standard for network tests and boasts a growing community of contributors. It is considered the most powerful tool in the industry and is essential for network engineers who want to simplify their work with a Swiss knife. As the field of netdevOps continues to evolve, it's crucial for network engineers to adopt pyATS and stay ahead of the curve. If you enjoyed this short introduction to pyATS, consider subscribing to my contributor page to stay up-to-date with the latest developments in the field.

Networking: How Useful is pyATS in NetDevOps?  

– that is the key ingredient to dominating your market and thriving in today’s cutthroat and competitive business ecosystem. As the world spins at an unprecedented rate, we see new brands emerging left and right, coupled with cutting-edge technologies that introduce disruptive shifts in the marketplace. Stay ahead of the game To remain relevant and achieve the coveted top-tier status, businesses must adapt and innovate continuously. Artificial Intelligence (AI) is undeniably a game-changer in this endeavor. Today, AI gets thrown around in every corner of any given industry. From optimizing sales processes, and streamlining operations, to boosting business growth, this tech breakthrough proves to be a cornerstone of innovation that’s here to stay for good. AI is no longer a buzzword; it's a strategic imperative for those looking to thrive, rather than merely survive. Here are 10 useful ways to use AI to accelerate your business: Data-Driven Decision Making Here’s where AI excels the most: gathering, processing, and analyzing data in a millisecond to push business leaders away from guesswork and lean toward data-driven decision-making. It is wise to utilize AI-powered analytics tools in your business processes, from identifying trends, and unlocking customer preferences, to deciphering market insights. In uncovering the treasure trove of your company’s data and transforming them into actionable insights, invest in AI-driven algorithm platforms that elevate conversion rates, optimize customer success, and identify the most promising prospects. A great example is Coho AI, a software that capitalizes on product usage data, intelligent segmentation, and user journey, equipping sales, operations, product, and customer success, with powerful AI-driven insights, and streamlining their processes through intelligent automation. There's an AI for that: Be a Master Dealmaker Dealmaking has evolved from simply reading a room and deciphering your prospects’ body language to a virtual world where you can only see an inch of their frames on your screen. Remote work has certainly paved the way for faster, rapid-fire deals, but has equally introduced a new set of challenges that dealmakers need to navigate through. With the lack of face-to-face interaction, intuitive understanding, and body language cues, dealmaking in the digital age relies heavily on data and technology, making AI an invaluable ally. Invest in behavioral intelligence tools to free yourself from the burden of reading your prospect’s non-verbal cues, empowering you to focus on the core aspects of dealmaking. These tools can analyze communication patterns, identify prospects' preferences, and assess their receptivity to various propositions – so you don’t have to. One tool that makes a difference is Novacy, an AI-powered behavioral intelligence platform, that helps B2B revenue teams close more deals by understanding their prospects' underlying perceptions by using audio, text, and body language analysis. There's an AI for that: Embrace Predictive Maintenance AI has been a saving grace for businesses with physical assets, both in costs and efficiency. By predicting whether a piece of equipment is on the verge of failure or requires maintenance, AI helps prevent costly downtime, extends the lifespan of assets, and reduces maintenance expenditures, ultimately improving the bottom line. Its impact on manufacturing and logistics is multifaceted, driving benefits that extend well beyond the shop floor. *__There's an AI for that: __*Uptake, a leader in predictive maintenance solutions, offers an AI-driven platform that empowers businesses to proactively manage their physical assets. Their software uses machine learning to analyze equipment data, predict maintenance needs, and provide actionable insights. By implementing Uptake's solution, businesses can significantly reduce maintenance costs, enhance asset reliability, and optimize their operations. Improved Marketing Campaigns In the ever-evolving world of marketing, AI can revolutionize your campaigns. AI-driven marketing tools can segment your audience, predict campaign performance, and optimize ad spending in real time. By ensuring your marketing efforts reach the right audience with the right message at the right time, AI can maximize ROI and elevate the impact of your campaigns. Emarsys is a powerful AI marketing platform that enables businesses to create highly personalized and data-driven marketing campaigns. It uses AI to analyze customer behavior, predict future actions, and automate marketing processes, ensuring that each interaction with your audience is highly relevant and effective. There's an AI for that: Supply Chain Optimization The pandemic has proven that supply chain management is a complex task that requires heavy technological support. In an increasingly globalized world, AI bridges this gap by providing real-time insights into your supply chain, from sourcing materials to ensuring on-time deliveries. It optimizes inventory, reduces transportation costs, and improves supply chain efficiency, ultimately impacting your bottom line positively. Leading this new dawn for the supply chain is Coupa, a global player in the continuous supply chain design, which leverages the power of AI and comprehensive data models. Its product, transforms design and analysis from one-off projects to a consistent and repeatable process, enabling businesses to adapt quickly to changing market conditions and reduce costs. There's an AI for that: Supply Chain Modeler, Fraud Detection and Prevention In an age of increasing cyber threats and financial fraud, AI can be an invaluable ally in safeguarding your business. Machine learning algorithms can detect unusual patterns and anomalies, preventing fraudulent transactions and securing your financial assets. An AI-driven fraud detection and prevention platform, Featurespace offers adaptive behavioral analytics to help companies identify and stop fraudulent activities in real time. This proactive tool’s smart technology can protect your business and your customers from financial fraud, which is a must-have in today’s era of data leaks and cybercrimes. There's an AI for that: Personalized Product Recommendations E-commerce businesses can harness AI to deliver personalized product recommendations. By analyzing customers' browsing and purchase history, AI can propose items that are more likely to resonate with individual customers, leading to increased sales and customer satisfaction. When it comes to AI-powered product recommendations, Amazon still leads the pack. As a global e-commerce giant, this platform boasts a cutting-edge recommendation engine that has substantially contributed to its success by providing customers with what they want when they want it. There's an AI for that: Human Resources Optimization AI can streamline various HR processes, from candidate screening and onboarding to employee engagement and performance management. Automation and data-driven insights enable HR professionals to focus on strategic activities, foster a more engaging employee experience, and drive higher retention rates. Workday, an AI-driven HR software, offers tools for talent acquisition, workforce management, and employee engagement. It uses AI to streamline HR processes, improve talent sourcing, and enhance the overall employee experience, ultimately contributing to higher retention rates and a more efficient HR department. : There's an AI for that Risk Management To say that change is constant is an understatement. In the modern business world, change and uncertainty are the norm, exposing companies to risks and vulnerabilities. This makes it high time for businesses to invest in AI-powered risk management solutions where its predictive capabilities can assess market fluctuations and regulatory changes, and enable companies to develop proactive risk mitigation strategies. When it comes to leveraging AI to analyze data from a myriad of sources, forecast potential risks that are often overlooked by humans, and provide actionable insights for decision-makers, RiskWatch is a reliable tool. This comprehensive AI-powered risk assessment management software provides advanced risk assessment and protection against threats that may ruin and tarnish your brand. There's an AI for that: Environmental Sustainability Currently, environmental consciousness is at its peak. From developing sustainable products, and optimizing energy efficiency and consumption to reducing carbon footprint, modern businesses are under increasing pressure to abide by these growing eco-friendly standards. In this eco-conscious era, AI is an indispensable tool that can assist businesses in reducing their environmental impact and embracing sustainability. OneTrust offers ESG and Sustainability Cloud that empowers organizations with the ability to define their core ESG metrics, track progress towards these goals, and foster trust with key stakeholders through enhanced transparency. There's an AI for that: Conclusion As AI technologies continue to advance, their role in business acceleration will only grow. Efficient and effective leaders know that incorporating AI into various operations is paramount to adapt to the ever-changing business landscape, enabling them to stay steps ahead of the game. Embracing AI is no longer a matter of “if” – it’s a matter of “when,” and those who act now will reap its benefits fast.

10 Useful Ways to Use AI to Accelerate Your Business

. Things To Make by Archibald Williams is part of the HackerNoon Books Series. You can jump to any chapter in this book . PREFACE here PREFACE. The making for oneself of toys and other objects of a more or less useful character has certain advantages over buying them. In the case of the more elaborate and costly articles, it may enable one to possess things which otherwise would be unobtainable. Secondly, a home-made article may give a satisfaction more lasting than is conferred by a bought one, though it may be less beautiful to look upon. Thirdly, the mere making should be a pleasure, and must be an education in itself. To encourage readers to “use their hands” the following chapters have been written. The subjects chosen provide ample scope for the exercise of ingenuity and patience; but in making my selection I have kept before me the fact that a well-equipped workshop falls to the lot of but a few of the boys who are anxious to develop into amateur craftsmen. Therefore, while the easiest tasks set herein are very easy, the most difficult will not be found to demand a very high degree of skill, or more than a very moderate outlay on tools. I may say here that I have been over the ground myself to find out its difficulties for my readers, and that I made an engine similar to that described in Chapter XV (the most elaborate mechanism included in the book) with very simple tools. Some of the items which I had on my original list were abandoned, because they presupposed the possession of comparatively expensive machines. My selection has also been guided by the desire to cater for different tastes. In some cases the actual manufacture of the thing described may be regarded as the most instructive and valuable element, and may appeal most forcibly to the “handy” boy; in others—the Harmonograph provides a good instance—the interest centres round the experiments made possible by the construction of a simple piece of apparatus; in some the utility of the article manufactured is its chief recommendation. I feel certain that anyone who follows out the pages of this volume with hand as well as with eye, will have little reason to regret the time so spent. The things made may in course of time be put aside and forgotten, but the manual skill acquired will remain. Nowadays one can buy almost anything ready-made, or get it made without difficulty; yet he who is able to make things for himself will always have an advantage over the person to whom the use of tools is an unprobed mystery. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Archibald Williams (2005). Things To Make. Urbana, Illinois: Project Gutenberg. Retrieved https://www.gutenberg.org/cache/epub/14664/pg14664-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

The making for oneself of toys and other objects of a more or less useful character

Would you leave a Google Staff Research Engineer role just because you want your TV to automatically pause when you get up to get a cup of tea? Actually, how is that even relevant, you might ask. Let’s see what Pete Warden, former Google Staff Research Engineer and now CEO and Founder of Useful Sensors, has to say about that. From Jetpac to Google and TinyML, from Google to AI in a Box Pete Warden wrote the world’s only mustache detection image processing algorithm. He also was the founder and CTO of startup Jetpac. He raised a Series A from Khosla Ventures, built a technical team, and created a unique data product that analyzed the pixel data of over 140 million photos from Instagram and turned them into in-depth guides for more than 5,000 cities around the world. Jetpac was acquired by Google in 2014, and Warden has been a Google Staff Research Engineer from then till March 2022. That’s when he founded , which he sees as the evolution of the work he’s been doing at Google. Warden was the Technical Lead of the TensorFlow Mobile team, responsible for deep learning on mobile and embedded devices. Useful Sensors . Naturally, much of what he did was based on things others were already working on: “A lot of my contribution has been helping publicize and document a bunch of these engineering practices that have emerged,” Warden said. Either way, is getting big, and Warden is a big part of it. Warden is sometimes credited as having kickstarted the TinyML subdomain of machine learning TinyML Tiny machine learning (TinyML) is broadly defined as a fast-growing field of machine learning technologies and applications, including hardware, algorithms, and software capable of performing on-device sensor data analytics at extremely low power, typically in the mW range and below, and hence enabling a variety of always-on use-cases and targeting battery operated devices. Useful Sensors just launched a product called , which it dubs an “offline, private, open source LLM for conversations and more.” Even though it’s not the first product Useful Sensors has created, it’s the first one that’s officially launched. That was a good opportunity to catch up with Warden and talk about what Useful Sensors is working on. AI in a Box Click to listen to the full conversation on the . here Orchestrate all the Things podcast Simplicity and the creepiness factor While it is true that Warden cited wanting his TV to automatically pause when he gets up to get a cup of tea as part of the reason why he started Useful Sensors, some context is definitely needed. Part of Warden’s motivation for his work on Tensorflow for embedded devices was to see it used in everyday objects. As Warden related, when he went to talk to companies that made light switches or TVs to tell them “all about this wonderful open source code that they could get for free, and all the conferences and documentation and examples and books,” they would hear him out. But then, in the end, they’d usually say something like: “That’s great. But we barely have a software engineering team, let alone a machine learning team. So can you just give us something that gives us a voice interface or tells us when somebody sits down in front of the TV”? That’s quite telling, and producing self-contained hardware is a valid reason to set out on a new venture. However, that’s not something Google itself could not achieve. Google Pixel, for example, already provides automatic captions running on-device for content that plays on the phone. But there’s something more: privacy and data sovereignty, aka “the creepiness factor”. AI-enhanced In a video hosted on the Useful Sensors home page, Warden mentions how, during his tenure at Google, he would often get questions about whether Google was spying on people. Those questions are valid ones, triggered by a widely observed phenomenon: when mentioning the topic XYZ in the vicinity of your phone, you will often get bombarded with ads about XYZ for days on end. Warden, on his part, swears that the code he was working on does not do that. But, he goes on to add, he has no way of proving that because the code is proprietary. Plus, we may add, there’s nothing anyone can say about other parts of Google’s codebase, or other apps for that matter. It’s hard to light-heartedly dismiss such a widely shared experience. Useful Sensors That brings us to the core of it all – what Useful Sensors does and how it’s different. The vision, as Warden put it, is to be able to run machine learning locally and to do it in a private and checkable way. Everything should run locally with no internet connection, so conversations and data are completely secure. No account, setup, or subscription needed. Warden shared that Useful Sensors has already launched the person sensor, a small board that provides and indication of whether there’s a person nearby, as well as a tiny QR code. Both run entirely locally and retail at $10 and $7, respectively, Warden said. But these products have something else in common too: they are aimed at makers, i.e., hobbyists with enough motivation and technical skills to tinker with them, but also at electronics vendors. As Warden shared, Useful Sensors is currently in talks with a number of electronics vendors. Useful Sensors products are being evaluated, and Warden is hopeful that it won’t be too long before they end up being included in devices sold in the market. In fact, that is the audience that holds the greatest promise for Useful Sensors. Its backers also see the potential, apparently, as the company has received $5 million in seed funding already. Warden co-founded Useful Sensors with CTO Manjunath Kudlur, formerly of Cerebras. Kudlur was the compiler team lead at Cerebras as well as one of the founders of Google’s TensorFlow and Nvidia’s CUDA. Warden said Kudlur contributes greatly to things such as accelerating transformer models for Useful Sensors. The team lists a total of 8 people at this point, but if their plans come to fruition, another funding round and growth are well within sight, as per Warden. AI in a Box, the product that Useful Sensors just launched, seems like it was designed to do a number of things. First, it can grow awareness for Useful Sensors, as it’s aimed at makers. As Warden said, people can tinker with the code, but it already does some useful things out of the box. It can provide live captions, as well as receive voice commands and translate between multiple major languages on the fly. AI in a Box can also help raise some cash for Useful Sensors. But perhaps more importantly, it positions Useful Sensors as an ecosystem provider. This seems like part of the vision for the company, and Warden shared that he’s hoping people will get creative with AI in the Box. In fact, he added, some examples of things people have built with Useful Sensors products already exist on . Hackster Under the hood AI in a Box features a RockChip 3588S SoC with an . The NPU is a unit specifically designed to accelerate neural networks, and the team was able to leverage it to enable a Large Language Model to run locally. AI in a Box is built on a foundation of open-source models like and . In the same vein, the company is releasing all the code to accelerate and control the system under an open-source license. NPU Whisper Llama2 Useful Sensors is also available. The idea is that transparency should help with security and privacy auditing, with Warden noting he’d be happy to have regulators audit Useful Sensors products. Releasing open-source code will also enable developers to use the system as a base to build their own real-time voice input applications in Python. library for optimized transformer inference on the RockChip NPU Warden said that once they were able to get the real-time speech-to-text working, there was lots of choices around which LLMs they could run locally. The team is also looking into doing some of its own fine-tuning, but they’ve been able to get a long way by just providing prompt contexts for interactions. As Warden noted, anybody who’s familiar with LLMs would probably easily recognize what Useful Sensors did. Real-time speech-to-text enables AI in a Box in a box to function as a keyboard too, among other things. By having an LLM in the mix, too, that opens up a range of possibilities. For example, LLMs are known to be able to interface with APIs. Warden mentioned Raspberry Pi as an example that could enable people to control a number of devices using voice commands. AI, innovation, empowerment An example of what people are already working on, Warden said, is an actor who is using the company’s person sensor to automate spotlight operation for solo performances. Rather than having to pay someone to operate a spotlight, the actor is hoping it should be possible to automate this. In a way, that’s a perfect metaphor for the double-edged sword that innovation and AI truly are. That may sound like a good idea for the actor, but what about the operator? “That’s that’s a really big question with anything around innovation. If we’re, quote unquote, making things more efficient, what are the societal impacts of that? A big part of what I’m trying to do is get these technologies into people’s hands so that it’s not just a bunch of engineers who are making these decisions about what we should do. People can try these models for themselves, and see, for example, how useful, but also how flawed the current generation of LLMs are. I don’t want us technocrats to be the ones making these decisions. I want a well informed public who are actually able to say – hey, this is what we want”, Warden said. That certainly sounds like a noble aspiration. How compatible it really is with VC backing, a cut-throat competitive landscape dominated by the Googles of the world, the public’s ability to elaborate its own take on things, and administrations’ willingness to take the public into account remains to be seen. Also published . here

Useful Sensors: Pioneering AI with AI in a Box, A Different Paradigm for Edge Computing

Hello, community!  I’m Anna, and I have been professionally engaged in Android Development for three years. In this article, I’d like to tell you in detail about Android Studio - a powerful tool for creating Android apps. Android Studio is an integrated development environment (IDE) for working with the Android platform, announced on May 16, 2013, at the Google I/O conference. Android Studio can be installed on Windows, Mac, and Linux. It was built on top of IntelliJ IDEA. The IDE is free to download and use. You can download Android Studio . To properly set up this program, follow .  After you have successfully installed and configured android studio, you can watch on working with this tool. This can make it much easier for you to get started in Android Studio. by this link these guidelines a few tutorials Android Studio has layouts for creating the UI, which is where you usually start working on an application. It contains tools for developing solutions for smartphones and tablets, as well as new technology solutions for Android TV, Android Wear, Android Auto, Glass, and additional contextual modules. New features come with every new version of Android Studio. In Android Studio you can write, test, and run your code. You can also create and customize an emulator and use them instead of real devices to run your Android apps. The first thing that needs to be said is every Junior Android Developer should master the work in Android Studio and use all the main features of this powerful and useful tool. One should note here that even though Android Studio is a complex tool, including many features, there are several useful lifehacks that will greatly simplify the work in this IDE. When I started actively use these lifehacks during my working days, the quality and speed of my work increased significantly. I have compiled a list of these lifehacks and I’m happy to share them for you. Lifehack 1 - Don’t neglect Android Studio’s tips of the day. The first thing that needs to be said is Android Studio creators made sure not only that all developers can comfortably work in this IDE with high performance, but also that they have the opportunity to how to write code better. Therefore, every day when you open Android Studio for the first time, you will see a tip of the day window. This is a small window in the middle of your screen that contains useful tips on how to organize your work with Android Studio. Some developers prefer to just close this window, but I strongly recommend that you don't be lazy and spend 5-10 minutes of your time per day reading these tips. Perhaps it will be very useful to you. As for me personally, when I acquired the useful habit of always reading the tip of the day, my work speed increased. In addition, some of my colleagues also appreciated the benefits of these small daily Android Studio tips. Tip of the day’s window looks like this: If you want to see more tips, click “Next Tip“, otherwise just close the window. Lifehack 2 – Learn and actively use Android Studio hotkeys. Another lifehack that can significantly speed up and simplify your work on code in Android Studio is hotkeys. I strongly recommend that you master the basic hotkeys of Android Studio and use them daily. As for me personally, I often use the following Android Studio hotkeys during my work: on macOS- Build Control+F9 / Command+F9 on macOS - Build and run Shift+F10 / Control+R on macOS - Reformat code Control+Alt+L / Command+Option+L on macOS - Optimize imports Control+Alt+O / Control+Option+O on macOS - Save all Control+S / Command+S on macOS - Synchronize Control+Alt+Y / Command+Option+Y on macOS - Find in file/class Control+F / Command+F on macOS - Find in project Control+Shift+N / Command+Shift+O on macOS - Open current editor tab in new window Shift+F4 / Shift+F4 on macOS - Go to line Control+G / Command+L on macOS on macOS - Replace Control+R / Command+R on macOS - Find in path Control+Shift+F / Command+Shift+F on macOS - Go to XML Control+B / Command+B on macOS - Commit project to VCS Control+K / Command+K on macOS - Update project from VCS Control+T / Command+T on macOS - View recent changes Alt+Shift+C / Option+Shift+C on macOS - generate code Alt+Insert / Command+N on macOS - Extract method Control+Alt+M / Command+Option+M on macOS - Extract variable Control+Alt+V / Command+Option+V on macOS - Extract field Control+Alt+F / Command+Option+F on macOS - Extract constant Control+Alt+C / Command+Option+C on macOS - Extract parameter Control+Alt+P / Command+Option+P As for me personally, the mentioned Android Studio hotkeys are quite enough. Based on my experience, I can assume that these combinations may be enough for the daily work of a Android developer. Perhaps you will also make a list of your favorite hotkeys over time. Android Studio hotkeys full list includes hotkeys for writing code, debug, version control, navigation, view layouts, refactoring etc. If you want to study all Android Studio hotkeys in more detail, you can always see their full list in the official documentation by this link. Lifehack 3 - Choose the Android Studio theme that suits you best. This tip may seem trivial, but it is useful and can make your work in android studio more comfortable. Unfortunately, I did not immediately pay attention to this fact and for a long time I worked in Android Studio using a white theme. I quickly got tired and did not feel satisfaction from my work. After I changed the theme to dark, my work became more comfortable and productive. But of course, you can choose the theme that is most comfortable for you. In fact, I would advise you to set up Android Studio so that you can work with this tool as comfortably as possible. at the very beginning of working To set up your favorite Android Studio theme go to File tab and click on Settings. Further, you can find Theme under the . Choose your theme from the drop-down list and click on Apply and Ok. Done! Appearance & Behaviour -> Appearance There are several ways to change theme in Android Studio. More detailed information you can find . by this link Lifehack 4 - Use Key Promoter X plugin. Above, I have listed only a small part of the hotkeys that can be used while working in Android Studio. It may seem to you that there are too many of them and it is unrealistic to remember all these key combinations. There is a great solution - use Key Promoter X. Key Promoter X is a plugin that allows you to learn hotkeys gradually, step by step. When you utilize the mouse on a button inside the IDE, the Key Promoter X presents the keyboard hotkeys that can be used instead. And if there is no hotkey for this action, it will advise you to start it. To install this plugin, just find it in the following path: Type Key Promoter X in search field. Download the plugin and restart the Android Studio. Done! Preferences → Plugins → Marketplace. Lifehack 5 - Use Rainbow Brackets plugin. Brackets are used to group a number of code statements. For you it can becomes hard when you can't find the block of code that you want. Rainbow Brackets provide rainbow colors to the brackets which will eventually help you to keep track of code blocks better. To use rainbow brackets in your code, just go to . Settings -> Plugins -> Install Rainbow Brackets Perhaps some of these lifehacks are already familiar to you, and some you will hear for the first time. In any case, I sincerely hope that this article will be helpful to Junior Android Developers who are in the early stage of their career. You can also write in the comments to the article what life hacks you already use to work with Android Studio. And if you are just thinking about starting your career in Android development, I advise you to read my article on . Good luck! how to become an Android developer from scratch in 2023

The Most Useful Android Studio Lifehacks You Should Master to Speed up Your Work

The Hacker Crackdown: Law and Disorder on the Electronic Frontier by Bruce Sterling, is part of the HackerNoon Books Series. You can jump to any chapter in this book . Introduction here Introduction This is a book about cops, and wild teenage whiz-kids, and lawyers, and hairy-eyed anarchists, and industrial technicians, and hippies, and high-tech millionaires, and game hobbyists, and computer security experts, and Secret Service agents, and grifters, and thieves. This book is about the electronic frontier of the 1990s. It concerns activities that take place inside computers and over telephone lines. A science fiction writer coined the useful term "cyberspace" in 1982, but the territory in question, the electronic frontier, is about a hundred and thirty years old. Cyberspace is the "place" where a telephone conversation appears to occur. Not inside your actual phone, the plastic device on your desk. Not inside the other person's phone, in some other city. THE PLACE BETWEEN the phones. The indefinite place OUT THERE, where the two of you, two human beings, actually meet and communicate. Although it is not exactly "real," "cyberspace" is a genuine place. Things happen there that have very genuine consequences. This "place" is not "real," but it is serious, it is earnest. Tens of thousands of people have dedicated their lives to it, to the public service of public communication by wire and electronics. People have worked on this "frontier" for generations now. Some people became rich and famous from their efforts there. Some just played in it, as hobbyists. Others soberly pondered it, and wrote about it, and regulated it, and negotiated over it in international forums, and sued one another about it, in gigantic, epic court battles that lasted for years. And almost since the beginning, some people have committed crimes in this place. But in the past twenty years, this electrical "space," which was once thin and dark and one-dimensional—little more than a narrow speaking-tube, stretching from phone to phone—has flung itself open like a gigantic jack-in-the-box. Light has flooded upon it, the eerie light of the glowing computer screen. This dark electric netherworld has become a vast flowering electronic landscape. Since the 1960s, the world of the telephone has cross-bred itself with computers and television, and though there is still no substance to cyberspace, nothing you can handle, it has a strange kind of physicality now. It makes good sense today to talk of cyberspace as a place all its own. Because people live in it now. Not just a few people, not just a few technicians and eccentrics, but thousands of people, quite normal people. And not just for a little while, either, but for hours straight, over weeks, and months, and years. Cyberspace today is a "Net," a "Matrix," international in scope and growing swiftly and steadily. It's growing in size, and wealth, and political importance. People are making entire careers in modern cyberspace. Scientists and technicians, of course; they've been there for twenty years now. But increasingly, cyberspace is filling with journalists and doctors and lawyers and artists and clerks. Civil servants make their careers there now, "on-line" in vast government data-banks; and so do spies, industrial, political, and just plain snoops; and so do police, at least a few of them. And there are children living there now. People have met there and been married there. There are entire living communities in cyberspace today; chattering, gossiping, planning, conferring and scheming, leaving one another voice-mail and electronic mail, giving one another big weightless chunks of valuable data, both legitimate and illegitimate. They busily pass one another computer software and the occasional festering computer virus. We do not really understand how to live in cyberspace yet. We are feeling our way into it, blundering about. That is not surprising. Our lives in the physical world, the "real" world, are also far from perfect, despite a lot more practice. Human lives, real lives, are imperfect by their nature, and there are human beings in cyberspace. The way we live in cyberspace is a funhouse mirror of the way we live in the real world. We take both our advantages and our troubles with us. This book is about trouble in cyberspace. Specifically, this book is about certain strange events in the year 1990, an unprecedented and startling year for the the growing world of computerized communications. In 1990 there came a nationwide crackdown on illicit computer hackers, with arrests, criminal charges, one dramatic show-trial, several guilty pleas, and huge confiscations of data and equipment all over the USA. The Hacker Crackdown of 1990 was larger, better organized, more deliberate, and more resolute than any previous effort in the brave new world of computer crime. The U.S. Secret Service, private telephone security, and state and local law enforcement groups across the country all joined forces in a determined attempt to break the back of America's electronic underground. It was a fascinating effort, with very mixed results. The Hacker Crackdown had another unprecedented effect; it spurred the creation, within "the computer community," of the Electronic Frontier Foundation, a new and very odd interest group, fiercely dedicated to the establishment and preservation of electronic civil liberties. The crackdown, remarkable in itself, has created a melee of debate over electronic crime, punishment, freedom of the press, and issues of search and seizure. Politics has entered cyberspace. Where people go, politics follow. This is the story of the people of cyberspace. About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Bruce Sterling (1994). The Hacker Crackdown: Law and Disorder on the Electronic Frontier. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/101/pg101-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at , located at . www.gutenberg.org https://www.gutenberg.org/policy/license.html

A science fiction writer coined the useful term "cyberspace" in 1982

Being a modern React developer is not only about understanding the core concepts of React but also about getting well-versed with the whole ecosystem of React. This includes having the knowledge and experience of various libraries, which you can use in your application to make your development process a lot easier. React Even if you don't have the necessary experience working with them, you should at least be aware of their existence and the problem they solve. So, here are the 13 useful React libraries which you should know about as a React developer. Table of contents TanStack Query Redux MUI React Bootstrap React DND SWR React Hook Form Recharts React Router BluePrint React Virtualized React Suite TailwindCSS Parting Thoughts 1. TanStack Query is an open-source data-fetching library in React developed by . It has more than 1.7 million weekly downloads on and more than 35k stars on as of August 2023. TanStack Query Tanner Linsley NPM GitHub React doesn't have an opinionated way to fetch data. This leaves developers free to come up with various data-fetching methods. Most of the time, it involves the use of useEffect and useState hooks or the use of some general-purpose state management library. TanStack Query gives us a standard way to fetch data in React applications and helps us avoid writing complex logic, reduce lines of code, make our code more maintainable, make our application faster, and so on. It comes with lots of amazing features to make the data fetching and the development experience in React really awesome. These features include Auto Caching, Auto Refetching, Scroll Recovery, Render-as-you-fetch, etc. You can look up all the features in the below screenshot. 2. Redux is an open-source state management library in JavaScript. It has more than 58K stars on GitHub and more than 7.8 million weekly downloads on NPM as of August 2023. Redux According to Redux's official docs, ( Redux) Redux is a predictable state container for JavaScript apps. It helps you write applications that behave consistently, run in different environments (client, server, and native), and are easy to test. On top of that, it provides a great developer experience, such as live code editing combined with a time-traveling debugger. Source: Features of Redux - Helps you write easily testable applications with consistent behavior across environments. Predictable - Helps you centralize the state of the application. Centralized - It comes up with its own DevTools that make it easy to track the timeline of the application's state. Debuggable - Redux works with any UI layer and has a large ecosystem of add-ons to fit your needs. ( Redux) Flexible Source: It is one of the most popular state management libraries in React and makes building large-scale, industrial applications easier. 3. MUI Any list featuring the best React libraries would be incomplete without adding MUI Core. It's a React styling library that helps you build amazing UIs in no time. The MUI Core contains four foundational libraries for building and shipping UI faster. Material UI is a library of React UI components that implements Google's Material Design. ( ) Material UI: Source: Material UI Joy UI is a library of beautifully designed React UI components built to spark joy in the development process. ( ) Joy UI: Source: Joy UI MUI Base is a library of headless ("unstyled") React UI components and low-level hooks. ( ) Base UI: Source: Base UI MUI System is a collection of CSS utilities for rapidly laying out custom designs with MUI component libraries. ( ) MUI System: Source: MUI System With stars of 88K (August 2023) and weekly downloads of 2.9 million (August 2023), MUI is one of the most popular React UI libraries in the world. GitHub NPM 4. React Bootstrap is the rebuilt version of our old good friend Bootstrap in React. It's a standalone UI library of Bootstrap components for React with no dependency on Bootstrap.js or jQuery. React Bootstrap React Bootstrap offers a library of components with easy-to-use functionality, statefulness, and default accessibility making it a great choice to start building the UI of our application. It has more than 21K stars on and more than 2.4 million weekly downloads on as of August 2023. GitHub NPM 5. React DND Modern React applications are rarely simple. Almost all industrial applications have some form of drag-and-drop functionality. is a library that helps you build React applications based on drag-and-drop functionality. To make it possible, it uses the API under the hood. React DnD HTML5 drag-and-drop The library is fairly simple to use, with lots of interesting and innovative use cases in real-world applications. It has more than 19K stars on and more than 1.8 million weekly downloads on as of August 2023. GitHub NPM 6. SWR by Vercel is the second data-fetching library on our list and another great option apart from React Query. SWR The SWR library is a lot smaller and simpler than React Query, yet it provides many amazing features like Reusable Data Fetching, Suspense, Pagination, Built-in cache, and so much more. It has more than 27K stars on and more than 1.2 million weekly downloads on as of August 2023. GitHub NPM 7. React Hook Form is the king when it comes to building forms in React. It's a high-performant, tiny library without any dependencies and improves your app's performance by reducing your code, isolating re-renders, faster mounting, etc. React Hook Form According to React Hook Forms' GitHub Readme, it has the following features: Built with performance, UX, and DX in mind Embraces native HTML form validation Out of the box integration with UI libraries Small size and no dependencies Supports Yup, Zod, Superstruct, Joi, Vest, class-validator, io-ts, nope, and custom This project has more than 36K stars on and more than 3.4 million weekly downloads on as of August 2023. Check out this library before building your next form in React. GitHub NPM 8. Recharts is an open-source charting library built with React and D3. It's lightweight, built on React components, provides Native SVG support, and makes adding charts into React applications painless. Recharts It provides 11 built-in chart components, including AreaChart, BarChart, LineChart, PieChart, and so on. This library has more than 20K stars on and more than 1.3 million weekly downloads on as of August 2023. GitHub NPM 9. React Router is the most popular library to implement routing in React apps. It has more than 50K stars on and more than 10 million weekly downloads on , and it's built by the same team behind the popular Remix framework of React. React Router GitHub NPM ( ) It is a lightweight, fully-featured routing library for the React JavaScript library. React Router runs everywhere that React runs; on the web, on the server (using node.js), and on React Native. Source: React Router GitHub React Router is used by the dev teams at top companies like Microsoft, Netflix, Twitter, Discord, etc. 10. BluePrint ( ) Blueprint is a React-based UI toolkit for the web. It is optimized for building complex, data-dense web interfaces for desktop applications that run in modern browsers and IE11. Source: Blueprint GitHub There are seven different NPM packages of Blueprint: - This is the core package with various UI components(30+) to handle all the basic UI formation of the app. These components include Card, Button, Spinner, etc. blueprintjs/core - This package helps you interact with dates and times in React. We can use it to select a single date, date ranges, select a time, etc. blueprintjs/datetime - This package provides over 300 vector UI icons to make your React app beautiful. blueprintjs/icons - This package has successor components to Popover and Tooltip of blueprintjs/core. blueprintjs/popover2 - This package provides React components to select an item or select multiple items in the app. blueprintjs/select - This package provides an interactive table component for your React app. blueprintjs/table - This package helps you interact with various timezones in the app. blueprintjs/timezone Blueprint has more than 20K stars on as of August 2023. GitHub 11. React Virtualized is a React library that helps you work with large lists and tabular data efficiently in React. It has more than 25K stars on and more than 2.5 million weekly downloads on as of August 2023. React Virtualized GitHub NPM This library will come in handy if you are working with large data in your application. 12. React Suite is a set of react component libraries for enterprise system products. It is a well-thought-out and developer-friendly UI framework. ( ) React Suite Source: React Suite GitHub It's a UI library like no other. Each component is very well designed to increase the beauty of your application manifold and give it a touch of excellence. The library does provide general UI components like Button, Drawer, Pagination, Loader, etc. but with way better design and depth than most of the UI component libraries. It has more than 7K stars on and more than 60,000 weekly downloads as of August 2023. GitHub NPM 13. TailwindCSS is a utility-first CSS framework used for rapidly styling websites. It's not a React library but a CSS styling framework and one of the most popular options among React developers to style their applications. TailwindCSS Tailwind makes building UIs super easy with its utility classes like , , , etc. Each class has pre-defined CSS values, which become active once you assign the particular class to a particular JSX element. flex pt-4 text-centre For instance, if you assign the of or to a div, the element will become a flex element or have text aligned to the center. className flex text-center It has more than 71K stars on and more than 6 million weekly downloads on as of August 2023. GitHub NPM Parting Thoughts You don't need to learn all of these libraries to work effectively in React because many of them are used for the same purposes. For instance, MUI, React Bootstrap, and React Suite are all UI component libraries. So instead of learning all the libraries used for the same purposes, use that time to work with libraries that are used for different purposes. For instance, build a React app that uses React Suite for UI, React Router for routing, React Query for data fetching, and Recharts for rendering charts. You don't have to use the same tech stack I told you in the above para, but I hope you get the point. Learn various libraries used for various purposes. If you have any questions or confusion, reach out to me on (formerly Twitter). X Also published . here

13 Useful React Libraries for Devs in 2023

A few years ago, I participated as a mentor in a game jam. After the announcement of the winners, one of my mentees asked me: "The winners created their game by assembling assets from the Asset Store. They didn't even write three lines of code. Is that fair?" At that moment, I became convinced that the Unity Asset Store and third-party SDKs (Software Development Kit) are the best things the internet gods have sent us. Imagine a ready-to-use, tested solution that can save your project time and money. What could be better? Only a list of ten solutions that developers will surely be thrilled about. The order in the list is arbitrary. You won't find in-app purchases or advertisement SDKs here because they deserve a separate article. The same situation is with content assets because their necessity depends on specific projects. Mesh Baker This tool is essential for optimizing a 3D project. It becomes even more necessary when you don't have an experienced full-time 3D artist ready to lend a hand at any moment. Working with stock or freelance models often involves excessive materials and sub-meshes. When you insert such a model into your project, the number of draw calls overgrows. Mesh Baker takes care of the optimization process entirely. Unlike other similar programs, Mesh Baker can do everything. Here are some of its capabilities: Creating texture atlases or arrays for prop sets Finding, grouping, and combining meshes in large and complex scenes Modifying model prefabs for atlas materials usage Supporting models with multiple materials Processing tiled textures Combining, customizing, and adding objects to skinned meshes Combining dynamic meshes into a single-skinned mesh This asset also has well-documented instructions, regularly updated video tutorials, and good developer support. Amplify Shader Editor If we put it briefly, Amplify Shader Editor is the Shader Graph of a health-conscious person. Here are its advantages over other in Asset Store: shader editors Super-detailed documentation describing every piece of functionality. The developers have created their own Wikipedia Shader templates Functions for shaders Open-source code. Support for Xbox One/Xbox Series X/PS4/PS5/Switch consoles Grouping shaders in post-processing Extensive collection of samples Spine Do you continue to use frame-by-frame animation in your project? If you're tired of constantly changing Unity's toolkit for working with skeletal animation, Spine is specifically designed for you. It's not an asset from the Unity Asset Store. Still, it is the best solution for working with 2D character animation in . Unity Spine operates based on skeletal animation principles: the character is divided into parts, and the animation is created by changing the state of those individual parts. As a result, a set of 10-20 character animations can fit into a 1024x1024 pixel atlas, along with a .txt file containing the atlas layout and a JSON file with the saved animations. The animations for such a character will take up a maximum of 2MB. Now, how much space would files for 20 frames of frame-by-frame animation take? Of course, you can use one of the 10 Unity solutions for skeletal animation or find something on the Asset Store, but Spine has several advantages over them: Spine works with any 2D game engine and is suitable for creating animation clips. Finding an animator who works with Spine is much easier than finding someone who can create high-quality 2D animations in Unity. Spine bypasses the work with Unity Animator. Honestly, I can't stand working with it. If you've ever tried to set up complex transitions between animation states in Unity, you'll understand me. Let's be silent about animation events and working with animation parameters via strings. Spine allows you to control animations through code. Additionally, Spine has: a. Custom serialization of animation clips and skins b. Animation events at the end of playing an animation clip or animation c. Easy integration of animation events within the animation itself d. The ability to attach sprites to your animation skeleton that participate in the animation — creating an equipment system with Spine is a breeze e. One file for game and UI animations f. Well-documented instructions and an active community Overall, you won't want to work with other 2D animators once you try Spine. Cinemachine If your project requires something more than a single-plane static camera, use Cinemachine. When I last created a custom controller for a 2D camera, it took me several days. What I ended up with was less flexible than Cinemachine. Installing Cinemachine is the first thing I do when I need a camera controller. Here are its advantages: Support for 2D functionality Dozens of different camera controller settings Blending between different cameras using easy functions Camera shake system Ability to add up to 8 virtual cameras Obstacle avoidance system with colliders Split-screen and picture-in-picture modes Automatic zoom Post-processing effects Firebase Here I cheated a bit by grouping together a whole set of products from one developer. Firebase is irreplaceable, and the entire product group is much easier to work with than individual assets. It can offer the following: How do users respond to your project's features? Add the Firebase Analytics SDK, track events from the desired code locations, and monitor them in the web console. This way, you can see where users drop off in your app or how much time they spend on each game level. Project analytics: They allow you to change the appearance of your app without releasing an update. Remote configs: In short, it's a tool for testing the impact of functionality on key metrics of your app. For example, if you want to change the main menu design but are concerned that it might deter users, A/B testing can help. You allocate a group of users, let's say 20% of all users, and show half of them the old menu and the other half the new one. Then, you observe which group shows better metrics in terms of purchases, time spent in the app, etc., and conclude the need for a redesign. A/B testing: Firebase can handle authentication for various types, including email and password, Facebook, Google, Apple Account, and even GitHub. If a user still needs to authenticate, Firebase creates a ghost account for them, and you can utilize the data from that account after authentication. Authentication: Real-time database: A database based on a JSON file that allows you to read updates in real-time with minimal delay. And this is probably just a small part of what Firebase is capable of. DOTween DOTween is the best solution for creating animation sequences in Unity. It allows you to develop component-based animations from code, combine them into sequences, receive callbacks when they end, and launch them in asynchronous methods. DOTween also supports the use of , unlike similar assets. easing functions DOTween creates animations based on . For Rigidbody, for example, you can control position, rotation, and velocity. This means that DOTween can even be used to create movement controllers for 2D and 3D. Additionally, DOTween works great with UI animations. Unity components I'm providing a link only to the free version, as I have never encountered a moment when this functionality was insufficient throughout my career. Of course, you can tween TMPro in the pro version, but it's easy to work without it. / . Dependency Hunter Finder This asset's paid, and free versions are essential for organizing a project. You have encountered files lying in your project since its creation multiple times for 100%. They seem to be unused, but deleting them is still scary. These two assets will show you a complete list of dependencies between files, even if they are embedded in the addressable system. Odin Serializer Experience the power of Scandinavian gods working with the Unity inspector: Static Inspector allows you to select any type and view all its static members. Properties, fields, and even methods are displayed with all their arguments. You can filter the output by type or member name. Enumeration will have a proper appearance in the inspector, plus you'll be able to assign its value through search. Odin Editor Window is an extension of Unity Editor Window functionality that allows you to forget about writing GUI code. Many attributes for working with GUI elements will satisfy all your desires. You can override the GetTarget method and pass an instance of any type for display. It doesn't have to be serialized or even a Unity object. This allows you to serialize interfaces, abstract classes, and even collections of such objects. 100+ attributes that allow you to customize the inspector's behavior. You don't need to inherit from anything — mark the object with the necessary attribute, and you're done. The complete list is available at the . following link I have selected a few of the most superficial attributes and described their capabilities: a. [ChildGameObjectsOnly] — can be used on fields and properties of type Component. The compiler will iterate through child objects and return objects of the corresponding type in a dropdown. b. [SceneObjectsOnly] — works similarly to the previous attribute, but the search is performed throughout the scene. c. [AssetsOnly] — can only be used on fields and properties of type Unity.Object. This attribute allows serialization only for objects not present in the scene. d. [Required] — can be used on a field or property of type Unity.Object. It will display an error icon and a message in the inspector if the object is empty. e. [ValidateInput("ValidationMethod")] — a dropdown based on the provided IEnumerable with your specified values. The cherry on top can be another asset that pairs well with the serializer: . It will save you from broken objects, missing references, and similar issues. Combining all these features makes working with it extremely comfortable compared to similar assets. Odin Validator + Procedural UI Image UI Gradient Let's start with its functionality. Procedural UI Image is an . It can do everything the original can and even more: alternative to Unity Image Adjust the border radius and width of the image High-quality edge smoothing without impacting performance or causing jagged edges Support for border blurring, which can be used for soft shadow or glow effects UI Gradient is an extension of the previous asset: Gradients are procedural and can be animated Support for linear and quadrilateral gradients Gradients can be rotated at any angle High performance After familiarizing yourself with the functionality of this pair, you immediately realize the space saved. You can say "goodbye" to hundreds of sprites with different radii or gradients that only UI designers can distinguish. As a bonus, a similar solution is the . This asset offers more functionality but may have lower performance than the previous ones. Modern Procedural UI Kit SR-debugger If the use of previous assets can still be questioned, this particular asset, or its equivalent, must be in every project. It's pretty simple — a debug window for on-device builds. If you are developing for platforms like Standalone, iOS, Android, Windows Store, WebGL, or Web Player and you're not using something similar, I feel sorry for you. And I firmly recommend installing this asset quickly. This asset should be the first thing you add to your project after its creation. So, what can it do? Display Unity logs in a custom UI on the device with filtering, clearing, and copying capabilities. Built-in Bug Reporter that allows you to send logs via email. Built-in profiler for monitoring device resources. Open-source code that allows you to embed your dev tools into the debugger panel. These are the assets that I use most often, but there are many more of them. Nowadays, before starting a task, I increasingly check if there is a ready-made solution in the Asset Store. If I need water effect, I go to the Asset Store, realistic ropes — Asset Store, 2D pathfinding — Asset Store. The answer to "Why do companies need you if there are so many ready-made solutions?" is quite simple. A good specialist is not only someone who can do everything from scratch but also someone who can provide the most beneficial business solution in the shortest possible time. So make full use of the asset store! It will help optimize your work and allow you to spend more time on complex tasks.

10 Useful Assets and Third-party Kits for Unity Developers of Any Level

Hello, community! I’m Anna Naumova, and I’m really passionate about Android Development. Currently, I work in a company that develops a mobile app - a messenger with audio and video calling functions, and I’m actively involved in the development of many useful app features. In this article, I’d like to tell you in general about - a distributed version control system and its most useful commands that I use in my daily work. I’d like also to explain why a Junior Android developer needs to master these commands even before he gets his first job. I will also talk in general about how a workflow is usually arranged in most companies. Perhaps this article will be helpful to Junior Android Developers who are in the early stage of their career. Git Now, looking back, I can say with confidence that if I had mastered Git earlier, my adaptation to the company would have happened much faster. When I learned how to use Git competently, the quality and speed of my work increased significantly. The reason for publishing this article was my daily observations over several years. Talking to who are just looking for their first job, I’ve noticed that they often underestimate the importance of the Git tool. Preparing for their job interviews, they often carefully study fundamental concepts (SOLID, principles of object-oriented programming, data structures), mobile development technologies (working with a network, databases, multithreading, etc.), prepare detailed answers to common interview questions, learn the algorithm complexity,  but at the same time they usually have absolutely no idea about the workflow. To my way of thinking, this approach is wrong. Once a candidate accepts a job offer, he becomes a member of a team, and every team has its own specifics and rules to follow, and Git is an important tool for organizing code work in a team. Junior Android Developers First of all, one should note here that I am in no way detracting from the importance of knowing the fundamental concepts of programming. In my opinion, understanding these concepts is a very important skill for being a successful Android Developer. This is a base, a skeleton, on which all further study of the remaining programming skills is built. In my opinion, that’s why questions about the basic principles of object-oriented programming are very often asked at job interviews. If a candidate understands the basic principles of programming well, then no doubt it is much easier for him to . However, it is equally important, in my opinion, to understand a company workflow when many distributed teams work on one product and write a lot of code. For most cases, knowing a few basic console commands and hotkey combinations will come in handy. I have been using these commands and hotkeys every day in my work for several years, and it makes my work convenient and saves a lot of time. switch to a new technological stack It should be noted that at the initial stage of a career in mobile development, a Junior Android Developer should not study Git deeply. In my opinion, it is much more useful to understand the main principle of how Git works than to learn a lot of complex commands. For most daily tasks, knowing a few basic console commands and hotkey combinations is enough. Even now, after several years, I have been using these commands and hotkeys every day in my work for several years now, and it makes my job convenient and saves a lot of time. The Git system can be loosely compared to a tree. This tree stores the entire commit history. There is the main trunk of the tree - this is a branch with the actual code, which is usually called "master." This branch contains the overall result of the team's work. Below you can see a good visualized example: Usually, working with the project code in a distributed team according to the following scheme: A developer gets a task (where he should implement a certain feature, fix a bug, etc.)., which is assigned a number. Execution of all project tasks is tracked in a project management tool (for example, Jira). Until the developer has taken the task to work, it hangs in the status. As soon as the developer takes the task to work, it goes into th status. "ready for development" e "in work" The developer will perform this task in a separate git branch, which needs to be started from the master branch. To do this, you can open a terminal in Android Studio and run the following git commands: - switch to the master branch Git checkout master - "pull" the current code from the master branch, which is located on the remote repository. Git pull (create a new branch and switch to it immediately). Note that, usually, the branch number corresponds to the issue number. Git checkout -b “your new branch name” to make sure you're on the branch you expect. Git status Let's say that you completed a task and want to push your changes to a remote repository for review. To do this, you can run the following commands (in the Android Studio Terminal or using keyboard shortcuts): - Format code so it looks nice and is easy to read for other developers Ctrl+A+L ​​ (highlight code) Ctrl + A (or "git add" in the terminal). This command will add your code to Git Ctrl+Shift+A (or "git commit" in the terminal). This command will commit the changes in the code. Don’t forget to write your commit message. Ctrl + K (or "git push" in the terminal). This command will push your changes to the remote repository. After that, the Android Developer can change the task status from “in work” to “in review.” Ctrl + Shift + K A tip: before I commit and push my changes, I always open the tab in Android Studio in the top left corner, where all the changes in the code are visible clearly. There you can once again check all the changes made and delete unnecessary ones. And if you suddenly need to switch to another branch without making a commit, you can use the command in the terminal. Then the changes will be temporarily hidden. If you need to show these changes again, this can be done using the command. Changes git stash git stash apply Once your changes are pushed to the remote repository, other developers in your team can see them and provide feedback - agree or disagree. Following these remarks, you need to fix your code and push your changes again. Once you have peer approval from all of your colleagues, you can merge your changes into the master branch of the repository using the button in your common work repository, ex. . Thus, changes in your branch will be merged into the main branch of the remote repository - master. After that, your task status can be changed to ” Done! merge GitLab “ready for test. If you need to update your project, commit and push your changes, you also can use the bottom in the top right corner of Android Studio. If you need to merge a branch from a remote repository into your current branch, you can run the following commands: Git checkout “name of the branch you want to merge into your branch.” Git pull ex: Git merge master. Thus all the actual changes in this branch from the remote repository will be merged in your branch. Git merge “name of the branch you want to merge into your branch.” In Git, you can make changes from one branch to another in two ways: , which I mentioned earlier, and . With the rebase command, you can take all the commits from one branch and apply them in exactly the same order to another branch. merge rebase The second method ( ) has an advantage over merge - it allows you , giving that history the look you need. rebase to rewrite the history of the branch If you don't need to pick up all the commits but only need some, it's convenient to use This method takes the changes made by a single commit and tries to reapply them as a new commit on the current branch. This feature is useful in a situation where you need to pick up a couple of commits from another branch rather than merge the entire branch with all the changes made to it. cherry-pick. These are the basic Git commands that I use actively in my daily work. In my opinion, they are quite enough for most tasks. But sometimes, a developer has to deal with more complex cases. If you want to learn Git in depth and master this technical tool more professionally, I can safely recommend the following resource: dangitgit.com I really hope that my article was useful to everyone who is actively interested in Android development and would like to master such a useful technical tool as Git. I wish you success in learning!

Stories, News & Mentions about USEFUL

Useful’s Stories on HackerNoon