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Ranking the players that were cut due to money issues

2024 NFL free agency: Ranking top 10 cap casualties, potential landing spots for Xavien Howard, other vets - CBSSports.com

It's been a while since my last appearance, but I'm excited to be back and to share something truly special with you. In this article, we'll explore my top 10 Google Sheets features that are guaranteed to boost your productivity, speed up your workflow, and make your data handling more efficient. So, without further ado, let's dive into these game-changing tools! https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true Autofill One of the simplest yet most effective features in Google Sheets is Autofill. Imagine you need to input numbers from 1 to 100—instead of typing each one, simply start the sequence, grab the blue dot at the corner of the cell, and drag down. Google Sheets will fill the rest for you. This works not just with numbers, but with days of the week and months of the year too, saving you a significant amount of time. Removing Whitespace and Duplicates When working with large datasets, cleaning up data is crucial. Google Sheets makes this easy with tools to eliminate unwanted whitespace and duplicates. Just select your range, use the "Trim whitespace" option under Data Cleanup, and voilà—clean, tidy cells. Similarly, the "Remove duplicates" feature ensures that only unique values remain, streamlining your data for better analysis. Alternating Colors Enhancing readability can significantly improve the way you interact with your data. The "Alternating colors" feature applies different colors to alternating rows, making your spreadsheet easier to read and reducing errors when reviewing large blocks of data. Embedding Sheets in Web Pages For those who wish to integrate Google Sheets with their websites, the ability to embed sheets is invaluable. Simply choose to embed your document, copy the provided HTML code, and paste it into your website. This allows you to display live, interactive data directly on your web pages. Data Validation for Dates Data integrity can be maintained by restricting input to certain types of data. For example, you can set a cell to only accept dates. This is done through data validation, where you select "Date" as the criteria, and Google Sheets will provide a handy date picker to ensure accuracy. Importing HTML Need to pull data from a webpage into your spreadsheet? The "ImportHTML" function is your friend. Just write the formula, specify the URL, and choose the table you wish to import. This feature not only saves time but also ensures you can quickly update your spreadsheet with the latest web data. Extracting Unique Values To identify unique entries from a range, the "Unique" function is perfect. It extracts distinct values from your selected range, allowing you to see just the unique information without any repeats. Quick Sheet Creation If you need to create a new spreadsheet quickly, just type "sheets.new" in your Chrome address bar. This shortcut instantly opens a new Google Sheet, helping you get to work right away without navigating through menus. Import Range Sometimes, you might need to share data from a spreadsheet without giving access to the entire file. "Import Range" allows you to import specific ranges from one Google Sheet to another, keeping the data synchronized without manual intervention. Google Translate in Sheets Google Sheets can even translate text directly within cells using the "Google Translate" function. Simply specify the cell, the source language, and the target language, and the translation updates in real-time. Bonus Tip Column Stats For data analysts, the "Column Stats" add-on provides quick statistical insights into data columns without needing to apply complex formulas. This tool is excellent for a high-level overview of data characteristics. Inserting Images in Cells A lesser-known but handy feature is the ability to insert images directly into cells. This functionality allows for a more organized display of visual data, which can be particularly useful for inventory lists, directories, and catalogs. I hope you find these tips helpful for making the most out of Google Sheets. If you enjoyed this article, please consider liking and sharing it. Your feedback is always welcome, so feel free to drop a comment below. Don't forget to subscribe for more useful content, and I look forward to seeing you in future articles! Thank you for your support and happy sheeting! It's been a while since my last appearance, but I'm excited to be back and to share something truly special with you. In this article, we'll explore my top 10 Google Sheets features that are guaranteed to boost your productivity, speed up your workflow, and make your data handling more efficient. So, without further ado, let's dive into these game-changing tools! https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true https://youtu.be/iHAvhGO0Df0?si=j6ePVf_Y5814jupV&embedable=true Autofill One of the simplest yet most effective features in Google Sheets is Autofill. Imagine you need to input numbers from 1 to 100—instead of typing each one, simply start the sequence, grab the blue dot at the corner of the cell, and drag down. Google Sheets will fill the rest for you. This works not just with numbers, but with days of the week and months of the year too, saving you a significant amount of time. Removing Whitespace and Duplicates When working with large datasets, cleaning up data is crucial. Google Sheets makes this easy with tools to eliminate unwanted whitespace and duplicates. Just select your range, use the "Trim whitespace" option under Data Cleanup, and voilà—clean, tidy cells. Similarly, the "Remove duplicates" feature ensures that only unique values remain, streamlining your data for better analysis. Alternating Colors Enhancing readability can significantly improve the way you interact with your data. The "Alternating colors" feature applies different colors to alternating rows, making your spreadsheet easier to read and reducing errors when reviewing large blocks of data. Embedding Sheets in Web Pages For those who wish to integrate Google Sheets with their websites, the ability to embed sheets is invaluable. Simply choose to embed your document, copy the provided HTML code, and paste it into your website. This allows you to display live, interactive data directly on your web pages. Data Validation for Dates Data integrity can be maintained by restricting input to certain types of data. For example, you can set a cell to only accept dates. This is done through data validation, where you select "Date" as the criteria, and Google Sheets will provide a handy date picker to ensure accuracy. Importing HTML Need to pull data from a webpage into your spreadsheet? The "ImportHTML" function is your friend. Just write the formula, specify the URL, and choose the table you wish to import. This feature not only saves time but also ensures you can quickly update your spreadsheet with the latest web data. Extracting Unique Values To identify unique entries from a range, the "Unique" function is perfect. It extracts distinct values from your selected range, allowing you to see just the unique information without any repeats. Quick Sheet Creation If you need to create a new spreadsheet quickly, just type "sheets.new" in your Chrome address bar. This shortcut instantly opens a new Google Sheet, helping you get to work right away without navigating through menus. Import Range Sometimes, you might need to share data from a spreadsheet without giving access to the entire file. "Import Range" allows you to import specific ranges from one Google Sheet to another, keeping the data synchronized without manual intervention. Google Translate in Sheets Google Sheets can even translate text directly within cells using the "Google Translate" function. Simply specify the cell, the source language, and the target language, and the translation updates in real-time. Bonus Tip Column Stats For data analysts, the "Column Stats" add-on provides quick statistical insights into data columns without needing to apply complex formulas. This tool is excellent for a high-level overview of data characteristics. Inserting Images in Cells A lesser-known but handy feature is the ability to insert images directly into cells. This functionality allows for a more organized display of visual data, which can be particularly useful for inventory lists, directories, and catalogs. I hope you find these tips helpful for making the most out of Google Sheets. If you enjoyed this article, please consider liking and sharing it. Your feedback is always welcome, so feel free to drop a comment below. Don't forget to subscribe for more useful content, and I look forward to seeing you in future articles! Thank you for your support and happy sheeting!

Top 10 Favorite Google Sheets Features for Everyday Work

After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2
Platforms: Switch
Publisher: Arika Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9
Platforms: PC, PS5
Studio: SFB Games With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here. Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9
Platforms: PC, Switch, Xbox One, Xbox Series X/S
Studio: Double Dagger Studio With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13
Platforms: PC
Studio: Blackbird Interactive Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14
Platforms: PC
Studio: Evil Empire The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16
Platforms: PC
Studio: Sucker Punch Productions The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21
Platforms: PC, Xbox Series X/S
Studio: Ninja Theory In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21
Platforms: PS4, PS5, Xbox One, Xbox Series X/S
Studio: Nightdive Studio The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23
Platforms: Switch
Studio: Intelligent Systems Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31
Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S
Studio: Codemasters That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below. After an April full of exciting game releases like The Crew Motorfest, Stellar Blade, and No Rest for the Wicked, May isn’t staying even a bit behind. In this story, we are going to check out the 10 best games to be released this month. Personally, I can’t wait to play them, and you shouldn’t miss out too. Endless Ocean Luminous - May 2 https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true https://www.youtube.com/watch?v=tKXjoA_Gai4&embedable=true Release Date: May 2 Platforms: Switch Publisher: Arika Release Date: May 2 Release Date: Platforms: Switch Platforms: Publisher: Arika Publisher: Following the steps of his predecessors, Endless Ocean Luminous puts you in control of a scuba diver to explore the fictional Velled Sea, with over 500 species for you to discover. Team up with folks all over the world, because now, the matches allow groups of up to 30 people to explore sunk temples and shipwrecks. Crow Country - May 9 https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true https://www.youtube.com/watch?v=iy1cICMVSTk&embedable=true Release Date: May 9 Platforms: PC, PS5 Studio: SFB Games Release Date: May 9 Release Date: Platforms: PC, PS5 Platforms: Studio: SFB Games Studio: With a retro style, Cow Country tries to bring to life the golden era of horror games; using a tank camera, its art style and mechanics resemble a lot of the classic Resident Evil games in all its glory. In this game, you’re gonna explore an abandoned park to understand why Edward has closed it while solving many puzzles and mysteries. A demo for Crow Country is available here . here Little Kitty, Big City - May 9 https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true https://www.youtube.com/watch?v=LWUdu2q88K4&embedable=true Release Date: May 9 Platforms: PC, Switch, Xbox One, Xbox Series X/S Studio: Double Dagger Studio Release Date: May 9 Release Date: Platforms: PC, Switch, Xbox One, Xbox Series X/S Platforms: Studio: Double Dagger Studio Studio: With a cutesy art style, Little Kitty, Big City lets you take control of a cat who is trying to go back home; you can mainly focus on finding your way back, or explore as a true cat would. Climb on people’s furniture, break their glasses, steal their objects, find collectibles, and interact with other animals before going home. Homeworld 3 - May 13 https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true https://www.youtube.com/watch?v=oVCUI70kF7o&embedable=true Release Date: May 13 Platforms: PC Studio: Blackbird Interactive Release Date: May 13 Release Date: Platforms: PC Platforms: Studio: Blackbird Interactive Studio: Homeworld 3 is a galactic real-time strategy game where you can play solo, PvP, and Coop. It continues the award-winning story of Homeworld 2, with massive battles among the stars and nebulas. Now, the game also includes a coop mode for up to 3 players, in a battle on the molds of roguelike. Team up with your friends in random fleet battles while obtaining artifacts to improve your ships. The Rogue Prince of Persia - May 14 https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true https://www.youtube.com/watch?v=XZzOxEK7hXo&embedable=true Release Date: May 14 Platforms: PC Studio: Evil Empire Release Date: May 14 Release Date: Platforms: PC Platforms: Studio: Evil Empire Studio: The Rogue Prince of Persia is a new take on the franchise. This time, in the hands of Evil Empire, the creators of Dead Cells, this new entry will get a different art style from its predecessor and will have a roguelike gameplay, which the team at Evil Empire are professionals doing. The game will also feature a procedurally generated map, set place around the city of Ctesiphon. You will battle the Hun army that was sent to destroy the city, and it is your job to prevent it. Ghost of Tsushima: Directors Cut - May 16 https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true https://www.youtube.com/watch?v=EzWBNwhb870&embedable=true Release Date: May 16 Platforms: PC Studio: Sucker Punch Productions Release Date: May 16 Release Date: Platforms: PC Platforms: Studio: Sucker Punch Productions Studio: The once-Playstation exclusive is making its way to PC this month. This version includes everything from the original version and some extra functionalities due to the power of the PC. Enjoy the Tsushima island with unlocked FPS and multiple graphic customizations, support to super ultra-wide monitors, increase the performance using the functionalities of your GPU, like DLSS, FSR, and XeSS, and enjoy high-quality sync with Japanese, due to real-time cutscene rendering. Senua’s Saga: Hellblade 2 - May 21 https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true https://www.youtube.com/watch?v=3VYGOkMnGCE&embedable=true Release Date: May 21 Platforms: PC, Xbox Series X/S Studio: Ninja Theory Release Date: May 21 Release Date: Platforms: PC, Xbox Series X/S Platforms: Studio: Ninja Theory Studio: In the sequel Hellblade: Senua’s Sacrifice, we follow again the story of Senua while she battles for survival on the Viking Island. There, you will fight to save the victims of the tyranny while dealing with her own darkness. System Shock: Remake - May 21 https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true https://www.youtube.com/watch?v=mNDdQ6_pYgk&embedable=true Release Date: May 21 Platforms: PS4, PS5, Xbox One, Xbox Series X/S Studio: Nightdive Studio Release Date: May 21 Release Date: Platforms: PS4, PS5, Xbox One, Xbox Series X/S Platforms: Studio: Nightdive Studio Studio: The complete remake of the 1994 cult System Shock that was released for PC in 2023 is now making its way to consoles. In this game, you live in Cidadela Station, but everything gets out of hand when the most advanced AI takes control of everything, turning its people into cyborgs and mutants looking for blood. Fight for survival and destroy SHODAN before it destroys you. Paper Mario: The Thousand-Year Door - May 23 https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true https://www.youtube.com/watch?v=gCV-uTRULn8&embedable=true Release Date: May 23 Platforms: Switch Studio: Intelligent Systems Release Date: May 23 Release Date: Platforms: Switch Platforms: Studio: Intelligent Systems Studio: Initially released for the GameCube in 2004, Super Paper Mario The Thousand-Year Door is an RPG praised by critics and won the RPG of the Year award in 2005. In this entry, you will take the role of Mario, while he tries to save Princess Peach from the hands of Grodus, collecting all the Crystal Stars and making new friends along the way. F1 24 - May 31 https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true https://www.youtube.com/watch?v=NnyCWsA6KSI&embedable=true Release Date: May 31 Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Studio: Codemasters Release Date: May 31 Release Date: Platforms: PC, PS4, PS5, Xbox One and Xbox Series X/S Platforms: Studio: Codemasters Studio: That is the newest entry in the F1 yearly franchise; it includes more refined graphics, a revamped campaign, a new physics system that impacts the performance of your car, crossplay, and a VR mode. Those were the games I’m keeping an eye on this month; let me know what games you are interested in this month or if I missed an important game in the comments below.

May 2024's Must-Play List: The Top 10 Game Releases You Can't Miss

Top 10 Websites to Learn SQL and Database Online

Hello friends, if you have attended technical interviews then may know that the part is one of the toughest to crack. I’ve asked myself why this happens and I found that most developers are not familiar with essential System design topics or concepts. Earlier I shared which are also great for system design interviews. Today I’ll discuss key topics you must know to be prepared for system design interviews. System Design software architecture books As I have said before, System design interviews are a crucial part of the hiring process for software engineers and developers and you must prepare for it, leaving it to chance is not a good idea. These interviews assess your ability to design scalable and efficient systems to solve real-world problems. To excel in system design interviews, it's essential to have a strong grasp of the fundamental concepts and principles. This is the first part of the series and in this part, we will see the top 5 system interview topics. By the way, if you are and want to learn System Design in-depth then you can also refer to sites like , and , which have many great System design courses and tutorials. preparing for System design interviews ByteByteGo DesignGuru Here is a nice system design cheat sheet from DesignGuru for quick revision: 5 Essential System Design Topics for Interviews To stand out from the competition in system design interviews, it's crucial to have a solid understanding of key concepts that set you apart from other candidates. By mastering these ten system design concepts, you can position yourself ahead of 99% of candidates and impress interviewers with your expertise. 1. Scalability Scalability is crucial in system design as it ensures a system can handle increasing loads and maintain performance. To design scalable architectures, you should understand concepts like horizontal and vertical scaling, load balancing, and distributed systems. Those will help you with tech interviews. 2. Availability and Fault Tolerance Designing fault-tolerant systems is essential to maintain availability even in the face of failures. As a candidate, you should learn about replication, redundancy, failover mechanisms, and fault tolerance techniques like backups, checkpoints, and error handling. For high availability many companies create active-active or active-passive architecture as shown below, The best example is companies like AWS and Azure which have data centers in different parts of the world, and if one goes down then server clients from others. cloud computing 3. Data Storage and Databases Different applications require different types of data storage. You should familiarize yourself with different types of databases like relational databases, NoSQL databases, key-value stores, and columnar databases. You should understand their strengths, weaknesses, and use cases. One of the common questions and concepts to understand here is SQL vs NoSQL as they often come during different questions, here is a nice diagram that highlights the difference between SQL and NoSQL 4. Caching Caching helps improve performance by storing frequently accessed data closer to the users. In this topic, you should learn about caching techniques, caching strategies, cache eviction policies, and cache coherence to design efficient caching systems. You should also get yourself familiar with things like cache hit and cache miss and here is a nice diagram for quick reference: 5. Message Queues and Event-driven Architecture Message queues enable asynchronous communication between different components of a system. While preparing for this topic you should understand concepts like pub-sub (publish-subscribe) patterns, message brokers, event-driven architecture, and their applications in building scalable and loosely coupled systems. In the past, I wrote about Apache Kafka vs ActiveMQ vs RabbitMQ which is a good starting point for learning about message brokers and queues. Here is a nice diagram showing Event Driven Architecture using the pub-sub model and point-to-point model : Conclusion That's all about Mastering these ten essential system design concepts will significantly enhance your performance in system design interviews. 5 System design topics you must prepare for tech interviews. By understanding scalability, fault tolerance, data storage, caching, message queues, microservices, security, performance optimization, design patterns, and trade-offs, you'll be well-prepared to tackle complex design problems and impress interviewers with your comprehensive knowledge. Remember, practice and hands-on experience in designing real-world systems are equally important, so apply these concepts in practical scenarios to solidify your understanding. Good luck with your interviews and your future endeavors as a skilled system designer! By the way, if you are and want to learn System Design in-depth then you can also check out sites like , , and , which have many great System design courses. preparing for System design interviews ByteByteGo DesignGuru Exponent In the next part, we will take a look at 5 more topics that are important for system design interviews. Stay tuned!

Sui Spikes In Weekly DEX Volume, Joins Top 10 Of All Blockchains

Hey there, Hackers! As some of you may know, we recently launched a in each on HackerNoon. To give you the low down on what this is all about, every week, our ranking system will refresh the numbers and showcase the top 10 most prolific writers for all 22 parent categories on the website. brand new ranking system for the top writers Tech Category The more you write and get published, the higher your ranking and the more you can show off to your friends and family (please do; you’ve earned it!). To that end, we would also like to show you off! Today, we’re giving a shoutout to last week’s top 10 code wizards over in the category who are serving up killer guides, unique angles, and helping us untangle all that spaghetti code. Here we go: Programming Want to see if you’re featured in this week’s top 10? Head over to our and pick the tech category you write most on. hackernoon.com/c Top 10 Programming Writers on HackerNoon 1. Brian Treese He is the Chief of UX at SoCreate, and he has been on a roll with multiple guides about HTML and CSS. Read one of his stories . here https://hackernoon.com/html-how-to-resize-an-image-with-css-container-queries?embedable=true 2. Dev Leader He is the Principal Software Engineering Manager at Microsoft, and his vast collection of guides is extremely beginner-friendly and even features great video tutorials! Read: Are Implicit Operators a Path to Clean Code or a Buggy Nightmare? https://hackernoon.com/are-implicit-operators-a-path-to-clean-code-or-a-buggy-nightmare?embedable=true 3. Learn Repo Did you know HackerNoon has a repository page that lists stories by topic and reading time created? Browse, peruse, and find the right story for you! Start here 👇 https://hackernoon.com/220-stories-to-learn-about-ux-design?embedable=true 4. Ethan Wang He has been killing it with Git and Vim guides for two months straight. Check out: Git - 1 How to Get Started With Git https://hackernoon.com/git-1-how-to-get-started-with-git?embedable=true 5. Rishabh Argawal He is a huge tech enthusiast, and his massive collection of Programming stories reflects his range and expertise. Check out: How to Shed Pounds Off Your Docker Image https://hackernoon.com/how-to-shed-pounds-off-your-docker-image?embedable=true 6. Nemi Shah He is a full-stack dev specializing in frontend and with a growing number of Flutter guides. Keep it up! Read: An Essential Guide to SwiftUI: Reusable UI with Custom Modifiers https://hackernoon.com/an-essential-guide-to-swiftui-reusable-ui-with-custom-modifiers?embedable=true 7. Madza He wants you to get better at coding, and he's got the resources to get you started. Check out his story 👇 https://hackernoon.com/the-19-useful-github-repositories-you-need-to-become-a-better-developer?embedable=true 8. Pratik Pathak Pratik is a tech pro, hitting the ground running with new guides on JavaScript and Python. Discover 25+ Beginner Javascript Projects With Source Code on Github https://hackernoon.com/25-beginner-javascript-projects-for-with-source-code-on-github?embedable=true 9. Shai Almog Shai is helping you debug like a pro with everything from guides to think pieces, and teaching you why . "Don't Touch It, it Works" is Problematic in Engineering https://hackernoon.com/dont-touch-it-it-works-is-problematic-in-engineering?embedable=true 10. Laba Subagia Meet a new writer on a strong start, kicking off their catalog with tips and tricks on using pointers in Go. Check out: Pointer Pitfalls: A Simple Utility Function That Makes Pointers in Go Easier https://hackernoon.com/pointer-pitfalls-a-simple-utility-function-that-makes-pointers-in-go-easier?embedable=true Think you’re ready to challenge the best? If you found yourself at the top of the ladder, congrats! You’ve earned yourself some bragging rights. If you feel like you’ve got the writing chops to climb the ranks and be the next top dog on HackerNoon, try some of our templates below and get to work. Developer vs. Bug Template Writer v. Blank Page The Data Science template The Web3 Future The Opt-Out Writing Contest Template Whether you would like to try your hand at a Programming guide or you want to branch out into Web3 or Cybersecurity, don’t be afraid to test your might!

You're Top Writer Potential But... Did You Make it to the Top 10? 🤔

GRAND CAYMAN, Cayman Islands, January 30th, 2024, Chainwire In the past four months, Sui TVL has jumped by more than 1000%, vaulting the network past Base, Cardano, and Bitcoin in its meteoric DeFi rise. Sui, a leading Layer 1 blockchain that was created by the team that led Meta’s Diem crypto project, continued its blistering DeFi growth, surpassing $430M in Total Value Locked (TVL) and moving into the top 10 blockchains by that metric. Alongside this torrid ascent of TVL, on-chain activity has exploded as well. Weekly DeFi volume is up more than 1200% since October demonstrating the growth in demand that will drive a sustained flywheel effect that supports the future expansion of the entire Sui DeFi ecosystem. "Less than a year since the launch of its mainnet, the growth of the Sui DeFi ecosystem has been nothing short of remarkable. This momentum validates both the technology and dedication of the Sui community,” said Greg Siourounis, Managing Director of the Sui Foundation. "Most importantly, what we are seeing in these numbers is developers on Sui building products that people are using to address real-world challenges. That dynamic will form the basis of a sustainable decentralized network that lasts well into the future." Because of its object-centric model and horizontal scaling, Sui is uniquely performant, scalable, and secure. As a result, Sui is particularly well-suited to host solutions that can operate at scale. Sui’s fast-rising TVL is a direct result of multiple Sui-based protocols and applications leveraging the strengths of Sui to grow at an extremely rapid rate. Based on the strengths of its technology as well as the top builders and developers that have begun leveraging its platform, Sui is quickly amassing a complete set of ecosystem applications offering seamless composability. From liquid staking to decentralized exchanges (DEXs), to top lending protocols, and the additions of DePIN and DeWi to the network, Sui boasts a technology stack that exceeds Layer 1 blockchains that have been around for years longer. Sui is now home to four protocols at over $50M TVL and nine protocols at over $10M, showcasing the depth of the ecosystem where multiple projects are flourishing. The Lending protocol Scallop Lend tops the list with $96M TVL, followed by Navi Protocol at over $91M. The top five is rounded out with three decentralized exchanges (DEXes), Cetus, Aftermath Finance, and FlowX Finance. Most recently, Sui announced that Banxa, a leading payments infrastructure provider for the crypto-compatible economy, will add the SUI token to its platform. The integration will increase access to the Sui blockchain for users around the world, thanks to a suite of Banxa’s global and local payment methods, which have processed over $3 billion in transactions since its launch in 2014. Additionally, Mysten Labs’ Sui Wallet will provide users the opportunity to purchase SUI tokens through Banxa’s fiat on-ramp solution and once fully integrated, to utilize its off-ramp solution. Sui also recently announced a partnership with Oracle Stork to provide builders with faster pricing data, offering real-time pricing data across Sui’s ecosystem of developers, DEXs, and lending protocols building on Sui's blockchain. This integration will enhance speed and access to unique index and mark prices for builders and users of DeFi applications on Sui. Contact Sui Foundation media@sui.io This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here.

Sui Blasts Into DeFi Top 10 As TVL Surges Above $430M

টিভিএল $430M-এর উপরে উত্থিত হওয়ায় Sui DeFi শীর্ষ 10-এ বিস্ফোরণ৷

Sui stürmt in die DeFi-Top 10, während TVL auf über 430 Millionen US-Dollar steigt

Sui irrumpe en el Top 10 de DeFi a medida que TVL supera los 430 millones de dólares

Sui entre dans le top 10 de DeFi alors que TVL dépasse 430 millions de dollars

टीवीएल $430 मिलियन से ऊपर बढ़ने से सुई डेफी टॉप 10 में पहुंच गई

TVLが4億3,000万ドルを超え急上昇し、SuiがDeFiトップ10に躍り出た

Sui, TVL이 4억 3천만 달러 이상 급등하면서 DeFi 상위 10위권 진입

Sui entra no Top 10 do DeFi enquanto TVL ultrapassa US$ 430 milhões

Sui ворвалась в топ-10 DeFi, поскольку TVL превысил 430 миллионов долларов

Sui, TVL'nin 430 Milyon Doların Üzerine Çıkmasıyla DeFi İlk 10'a Girdi

Sui lọt vào top 10 DeFi khi TVL tăng trên 430 triệu đô la

Sui 跻身 DeFi 前十名，TVL 飙升至 4.3 亿美元以上

Artificial Intelligence (AI) is transforming industries and creating new opportunities at the speed of light. From AI-generated video to its integration into major companies' products, the potential for to drive innovation and transformation is truly vast. In this article, we’ve gathered top AI trends by analyzing forecasts from leading technology companies and research firms, as well as our work with AI projects. AI By the way - if you’d like to stay ahead of the AI curve, discover cutting-edge projects, and expand your skills through free mini-courses, sign up for my weekly Each edition features the latest AI breakthroughs, tools, and tips to help you apply this transformative technology. It’s absolutely free! .’ newsletter ‘AI Hunters For now, let’s explore the top AI trends and their implications for the future. 1. AI Video Unlocks Creativity in Film, Ads and Games AI-generated video is gaining traction in the film and entertainment industry, with companies like Warner Bros. leveraging AI to analyze movie trailers and predict box office success. More than that, AI is being used in advertising, enabling personalized ad creation based on user data. AI is also finding its way into video game development, with companies like Electronic Arts using AI to generate game assets and environments. Generative AI is already democratizing content creation and changing the power and economics of video streaming. 2. In-Demand AI Skills Propel the Jobs Market The demand for AI skills is on the rise, with LinkedIn's 2020 Emerging Jobs Report identifying AI specialists as the top emerging jobs in the United States, experiencing a 74% annual growth rate. These skills are sought after across diverse industries, including healthcare, finance, and retail. Furthermore, AI skills are becoming increasingly important for marketing professionals, given the prevalence of AI-generated content in content marketing strategies. 3. Tech Heavyweights Pave the Way Leading companies such as Meta, Google, Amazon, Apple, and IBM are at the forefront of integrating AI into their products, spanning from virtual assistants to image recognition software. Moreover, AI is being integrated into customer relationship management (CRM) systems by companies like Salesforce and Oracle, enhancing customer data analysis and improving experiences. AI is currently finding its way into Internet of Things (IoT) devices, with companies like Intel using AI to enhance device performance and user experience. 4. All Spotlight on Virtual Influencers The emergence of AI-generated influencers on social media platforms like Instagram is reshaping digital marketing. Companies like Brud are creating virtual influencers such as Lil Miquela. AI-generated content is also making inroads into journalism, with The Washington Post using AI to write news articles. Additionally, e-commerce players like Amazon are leveraging AI to generate product descriptions and recommendations. AI-generated content is forever changing the way marketing is done, allowing for personalized content at a scale that was hardly conceivable before. 5. AI Touches Everyday Lives With the development of AI-driven cars by companies like Tesla and Google, AI's impact actively strikes root in the physical world. Wearable technology, including smartwatches and fitness trackers, is harnessing AI to enhance user experience and provide more accurate data. AI is also being integrated into smart homes, with companies like Amazon incorporating AI into the Alexa virtual assistant system. 6. Tailored AI Optimizes Impact Customization of enterprise AI is proving to be a game-changer, offering significant cost savings and improved accuracy and efficiency. Companies like IBM report that customized AI solutions can reduce costs by up to 50%. Customization can also lead to enhanced customer experiences, as personalized content and recommendations can be tailored to individual user preferences and behaviors. 7. Multimodal AI: A Universal Language In healthcare, multimodal AI is enhancing patient outcomes through AI-powered medical imaging and diagnosis systems. Plus, AI natural language processing systems are becoming adept at understanding and responding to both text and speech. In computer vision, AI applications can analyze and interpret images and videos, opening new frontiers in various industries. 8. Regulators are Fostering Responsible AI Innovation Regulating AI is a growing area of interest, with the European Union establishing guidelines for the ethical use of AI that emphasize transparency, accountability, and data protection. The United States has also set up a National AI Initiative Office to coordinate AI research and development and address ethnic concerns. Companies like IBM and Salesforce are already developing AI governance frameworks as the first major step towards the future, where responsible AI use will be ensured. 9. AI Gets Full Tech Stack Integration As AI is being harnessed across various applications, including chatbots, virtual assistants, and recommendation systems, it is playing a pivotal role in improving cybersecurity through real-time response to cyber threats. Companies like Bank of America are already leveraging AI in finance to automate financial processes and enhance decision-making. 10. Deepfake Brings Discomfort A deepfake image of an explosion near the Pentagon, purportedly related to the arrest of former President Donald Trump, caused uproar on social media. In 2023, deepfake technology became a pervasive tool, reshaping public discourse and causing confusion through exploitative uses, including fraud and manipulation of public figures — like Indian PM Modi, which already highlighted serious threats to democracy, privacy, and global harmony. As the 2024 US presidential elections approach, deepfakes are a growing concern for political campaigns, as it is increasingly being used to spread disinformation and propaganda. Wrapping up, AI's pervasive influence is reshaping industries and creating new opportunities. The potential for AI to drive innovation and transformation is vast, and its impact is already being felt across numerous sectors. However, as AI continues to evolve, the need for responsible regulation and governance becomes increasingly paramount. The future of AI is bright, and its potential to improve living quality and create real sources of value is immense. P.S. Check out my previous articles on AI at HackerNoon: How to Build Your Personal GPTs: From Zero to AI Hero GPT-4 Turbo: The Most Monumental Update Since ChatGPT's Debut! Essential Insights from 'State of AI 2023' GPT-4V Unveiled: From Detecting Emotions to Ordering Food - You Won't Believe What Else It Can Do! ChatGPT Now Speaks, Listens, and Understands: All You Need to Know Fine-Tuning for GPT-3.5 Turbo: AI Game Changer The Rise of AI-Generated Films: Lights, Camera, Algorithm! NFT Marketing Guide - The Most Complete and Detailed Playbook 2023

Top 10 AI Trends of 2024: How AI Transforms Everything 

Hi, folks! Despite the waning popularity of X / Twitter among certain communities, it still remains one of the largest platforms for user engagement and an integral part of any crypto marketing strategy, regardless of the size of your startup. Sure, potential Crypto Twitter killers like DeBank, Farcaster, and Mastodon are emerging, poised to siphon off the crypto audience. They’re less cluttered with spam and noise, making them ideal, especially during the early stages of community building, and I’m planning to share tips on growing accounts on these platforms for startups soon. web3 But in the meantime, here’s a top 10 list of terrible tips for Twitter, each one a popular mistake, not a guide to action! Please avoid these practices if you really want to build a quality X/Twitter community! If you have any queries on crypto marketing strategy, ! message me in DM for advice 1.  Crypto Giveaways: Focus on Quantity Over Quality Don’t bother growing your follower base organically; it's slow and laborious. Instead, use giveaways with simple rules: e.g., RT, tag 10 friends for a prize of just 15 USD. That'll surely attract the big crypto whales to your project, right? : Ask giveaway influencers to boost your contest. For an extra ~30 bucks, they'll promote your contest to their high-quality audience! Lifehack 2.  Meme Contests Prepare for a flood of generic creativity, thanks to AI tools. Set a prize fund of about 100 USD and distribute it among 20 winners. Who needs uniqueness? 3. Forget JTBD and CustDevs. Post Only What Interests You Ignore customer development or understanding your audience’s needs. Post whatever you fancy; eventually, you’ll attract a community that shares your exact interests. 4.  Only Tech Content Avoid any personal or behind-the-scenes content. Your followers are only here for the heavy tech jargon. If they don’t need a dictionary, you’re doing it wrong. 5.  Use Your Twitter Account Everywhere Log in to different websites with your enterprise Twitter account. It’s a time saver and helps websites tailor ads just for you. 6.  Excessive Hashtags The more, the merrier. #Crypto #Blockchain #Moon #Lambo #ToTheMoon #HODL #BuyNow – you get the gist. 7.  Overuse Buzz Phrases “We’re thrilled to announce” should be your go-to. It's cliché, but hey, everyone's using it! 8.  Emojis Galore Flood your messages with emojis. They say clarity and professionalism, right? . Fire copywriter! 9.  Outsource Everything to AI Why bother with a copywriter when AI can handle all your content? Set it and forget it. 10.  Partner with Questionable Projects Team up with any project that slides into your DMs. No need to worry about due diligence or reputation. These are atrocious tips for growing your Crypto Twitter account. Don't follow them! While some of these points may seem absurd, you'll notice many respected crypto projects actually use these tactics. When developing your own strategy, try to learn from others' mistakes. And remember, . Stay tuned for part two of these harmful tips! I wish you the best of luck in your cryptocurrency journey! P.S. I'm always here for advice and new connections

Top 10 Terrible Tips on How to Gain Followers and Grow Your Crypto Twitter Account

Stories of True Crime On May 17, 2022, a criminal hacking group claimed to hold the personal data of 22.5 million Malaysians. The data was stolen from myIDENTITI API, a database that allows government agencies (like the victim National Registration Department) to access information about Malaysian citizens. The group wanted $10,000 in Bitcoin for the data. On December 15, 2022, SevenRooms, a guest experience and retention platform, found that threat actors had posted details of more than 400GB of stolen sensitive data - stolen from the CRM’s servers - to a hacking forum. The information included API keys. Cybercriminals love APIs, “how lucrative it is to target the APIs that connect today’s digital services and sensitive data.” having realized Are you in a confident position to protect your APIs and get alerted to suspicious activity? Analogy If you ask someone if their house is protected from criminal entry and how it’s protected, they’d probably say, “Yes,” then proceed to detail how they have deadbolts, lock their windows, have cameras set up, keep their shrubs trimmed down to prevent hiding, etc. But what about their walls? Are the walls protected from criminals sawing through them? I don’t know of home walls that are more than several inches thick, and most of that is just 2x4s spaced to provide structure for drywall and insulation. Sure, there are other types of house structures, but, in general, they’re untested against circular saws. Of course, that kind of risk is generally an accepted risk – criminals would rather take the easy way through, such as broken windows and unlocked doors. So, homeowners automatically perform a risk assessment and accept the risk. But what about businesses and their API security strategy? Have businesses performed an updated risk assessment and risk treatment methodology to account for all the new ways that their technology can be hacked? API Use Increases Ensuring APIs are properly secured – taking into consideration at least the confidentiality, integrity, and availability of the CIA triad, if not the other aspects of the – is of the utmost importance. Parkerian hexad According to the report, over the next 2 years, half of those surveyed, "...will emphasize a best-of-breed approach, integrating individual solutions as needed through APIs." APIs are only going to increase, furthering the need for an API security strategy. Splunk 2023 State of Security Let’s check the again to make sure we’ve covered the known attack areas. OWASP 2023 API Top Ten OWASP 2023 API Top Ten There’s no way to give detailed advice in an article, but it’s helpful to, at the least, dive into a brief overview of some details that can provide food for thought. Here is a summary of each of : OWASP's 2023 API Top Ten 1. API1:2023 - Broken Object Level Authorization: By exposing endpoints that handle object identifiers, APIs create a wide attack surface of Object Level Access Control issues. 2. API2:2023 - Broken Authentication: When implemented incorrectly, authentication mechanisms allow attackers to compromise authentication tokens, or even assume other users' identities. Consider: , September 22, 2022: The issue was an API endpoint with no authentication, which is an example of a Broken Auth violation. Criminals harvested almost 10 million user details, such as driver's licenses and Medicare IDs. Optus breach 3. API3:2023 - Broken Object Property Level Authorization: APIs often expose endpoints that return all the properties of their objects. 4. API4:2023 - Unrestricted Resource Consumption: API requests require resources such as network bandwidth, CPU, memory, and storage to meet all of the demands. Successful attacks can lead to Denial of Service and require a sudden increase in operational costs. 5. API5:2023 - Broken Function Level Authorization: APIs and their supporting systems typically require complex configurations that are meant to make the APIs more customizable. Software engineers can miss these configurations, or they don't follow security best practices when configuring them, and this opens the door to a multitude of attacks. 6. API6:2023 - Unrestricted Access to Sensitive Business Flows: APIs may provide access to critical business functions or workflows without proper authorization or validation, allowing attackers to manipulate or abuse these functions. 7. API7:2023 - Server-Side Request Forgery (SSRF): APIs may be vulnerable to SSRF attacks, where an attacker can make the API server send requests to other servers, potentially accessing internal resources or performing actions on behalf of the server. 8. API8:2023 - Security Misconfiguration: APIs and their supporting infrastructure may have insecure configurations, such as default settings or unnecessary features enabled, which can be exploited by attackers. 9. API9:2023 - Improper Inventory Management: APIs expose more endpoints than traditional web applications, making proper and updated documentation critical. Having a consistently updated inventory of hosts and deployed API versions is important to issue mitigation. Consider: Experian breach. This credit reporting agency created an API for financial partners. At least one of those partners took that API and created their own site for applicants to look up their credit scores. All it took were a few user details (name, address, birthdate), and the searcher could find anyone’s credit records. This is an OWASP API Top Ten 10 number 9 violation. 10. API10:2023 - Unsafe Consumption of APIs: This category includes injection vulnerabilities and other risks that can arise from using APIs in an insecure manner, such as not properly validating input or output, or not using encryption when necessary. Tackling Tomorrow’s Issues Today It’s impossible to predict the future, but that doesn’t mean one has to gamble on it. Planning for tomorrow based on what’s known today is called a calculated risk. We don’t know everything, but we know a lot. Doing our best with what we know now will put us in the best position to provide a secure platform for our customers.

Re-examining the OWASP API Security Top 10 in 2023

When you go to your regular search engines like Google or Bing, there are a ton of websites that are hidden from you. To be able to access these hidden websites, you need to use special search engines. In this article, I will take you on a journey to uncover the mysteries of the deep web by introducing you to the top 10 specialized search engines designed to navigate its hidden depths. As you delve into this intriguing realm, I will try to shed light on the significance of these specialized search tools, their unique features, and how they empower users to explore the hidden web's rich and often elusive resources. Whether you're a researcher, a privacy enthusiast, or simply curious about the hidden web's untapped potential, this article will serve as your guide to unlocking its secrets. Understanding the Hidden Web In the expansive world of the Internet, there exists a hidden realm also known as the "invisible web" or "deep web." Even though it is still unknown, many industry experts believe that the deep web is many times bigger than the visible web. The hidden web is also divided into two: The deep web and the dark web. The Deep Web The Deep Web contains websites that can only be accessed through authorization, like your email account, Netflix, a cloud storage drive, private companies’ intranets, etc. The Dark Web The Dark web, on the other hand, is a subsection of the invisible web that is relatively smaller than the deep web. It can only be accessed with the use of special browsers like TOR. Note: Even though the dark web is prominently known as a haven for illegal activities, it is also used for activities that are not illegal. It can also be used by activists, whistleblowers, and journalists who want to prevent censorship or retaliation. Most notable is WikiLeaks, which has its home on the dark web. The Role of Specialized Search Engines In your quest to find the hidden treasures of the invisible web, it is quite clear that conventional means (Google or Bing) would not do you any favors. Specialized search engines stand apart from their mainstream counterparts by employing unique methodologies to access deep web content. They bypass conventional indexing methods and tap into resources that usually require special permissions or credentials to access. Additionally, these special search engines make your privacy and security a priority when you explore the hidden web. They shield your identity and activities from prying eyes, which is crucial in a landscape where anonymity is often paramount. Specialized search engines employ advanced encryption and secure connection techniques; all of these are done so that you can explore the hidden web without fear of your personal information falling into the wrong hands. Top 10 Search Engines and Websites for Deep Web Exploration Now, let me introduce you to 10 specialized search engines that would allow you to unlock the hidden web. Every search engine is unique and provides you with different features and capabilities. Let's dive right in: DuckDuckGo I know you might have heard of DuckDuckGo before, but maybe you haven't used it. It is well-known as one of the top privacy-oriented search engines out there. Unlike Google or Bing, which store caches of your browsing data, DuckDuckGo doesn't keep track of any of your online activities, and your search or browsing history is not even saved. Even though DuckDuckGo can be used as a regular Search Engine, it can also be used to explore the dark web. The Onion site can be located at https://duckduckgogg42xjoc72x3sjasowoarfbgcmvfimaftt6twagswzczad.onion/ Yippy Yippy has distinct search abilities that encompass traditional search engines and act as a metasearch engine. It gets information from different sources, including the dark web. Plus, Yippy's user-friendly interface makes it easy for anyone to find stuff on the dark web without getting lost. Freenet Freenet, initially released 23 years ago, operates on a peer-to-peer network, using a decentralized distributed data store to receive and share data, allowing anonymous communication. But please be aware of potential drawbacks, such as slower access speeds and limited content availability. The WWW Virtual Library The virtual library, first conceived by Tim Berners-Lee in 1991, serves as a directory of special resources on the deep web. This directory, compiled by volunteers, covers a wide array of topics, from academic disciplines to niche hobbies, providing a structured approach to deep web content discovery. NotEvil NotEvil is a successor to TorSearch, tailored to the needs of deep web enthusiasts. NotEvil provides results from hidden services. You can rely on NotEvil to explore the dark web but please remember to be cautious. Ahmia Ahmia focuses on indexing hidden TOR services, making it a valuable tool for those interested in exploring the Tor network. To use Ahmia, simply enter your query, and it will retrieve results from within the Tor network. Sci-Hub If you are a student, you might want to check this one out. Sci-Hub is a resource for academic research, providing access to millions of research papers. Its mission to provide free access to scientific knowledge has sparked controversy, leading to legal battles. Sci-Hub has had a significant impact on increasing the accessibility of academic literature worldwide. Z-Library Just like Sci-Hub, Z-Library is a shadow library on the dark web, but unlike Sci-Hub, it provides you with access to other general-interest books. While it provides a wealth of reading materials, you should be aware of the legal status of the content they access and consider alternatives for legitimate access to copyrighted works. I2P I2P uses end-to-end encryption to keep its users anonymous. With I2P you can use it to browse the surface web and the deep web as well. Users' traffic is distributed among over 50000 computers, making it close to impossible to track users. Waterfox Based on Firefox, Waterfox is an open-source browser. It is available on Linux, Mac, Windows and Android. Tips for Safe and Responsible Deep Web Exploration While exploring the dark web, it is essential to prioritize your safety and ethics. Here are some guidelines and tips to help you browse the hidden web safely: Use A VPN: Using a VPN can help mask your device's IP address and provide extra anonymity. This additional layer of security helps safeguard your identity while exploring the deep web. Use A TOR Browser: The deep web uses the TOR network, so make sure you access the deep web with a TOR browser to ensure your privacy. Note: TOR stands for The Onion Routing Update Your Device: Make sure to always update your operating system, browser and security software to get protection against vulnerabilities. Enable Two-Factor Authentication (2FA): Whenever possible, enable 2FA to add an extra layer of security to your accounts. By following these tips listed above, you can explore the hidden web safely, responsibly, and ethically.  The Deep Web is a cache of tins of useful information, resources and opportunities if you can navigate it wisely. Conclusion The deep web hides a trove of valuable and elusive content, from academic databases to confidential documents. The keys to unlocking these treasures are the specialized search engines like DuckDuckGo to metasearch engines like Yippy and decentralized networks like Freenet, each tool serves a distinct purpose, catering to a diverse array of interests. However, it is vital to remember some key principles we talked about: Privacy And Security Ethical And Legal Considerations Verify Deep Web contents The deep web holds a wealth of knowledge and resources for those who seek it, but it's essential to explore its depths with a sense of responsibility and safety. Happy Browsing!

Unveiling the Hidden Web: the Top 10 Search Engines and Websites for Deeper Online Exploration

Experts at the Institute for the Future say that about 85% of the jobs that today's college students will have in 2030 haven't actually been invented yet. We’ll do our work differently, too, according to Dell. In its , the company found that by 2030, 67% of business leaders expect to use new technologies to create equal opportunities by removing human bias in decision-making, 86% plan to use emerging technologies to improve workforce productivity, and 70% would welcome workers partnering with machines/robots to surpass their human limitations. future of work research The scale of technological advancements we are currently undergoing, thanks to advances in AI, machine learning, robotics, and other technologies, has increased this pace of change tenfold, , adding that “we can expect to experience more progress in the next decade than in the past 100 years combined.” says McKinsey McKinsey estimates that by 2025, 50 billion devices will be connected to the Industrial Internet of Things (IIoT), low-code/no-code (LC/NC) technology will also be used by 70% of new applications by 2025, and the global metaverse revenue opportunity could approach $800 billion next year. New jobs are emerging New jobs emerge all the time thanks to the advances in technology, and most recently, generative AI technologies have come to the fore. But AI is just one area where new job titles are rapidly emerging. We can expect to see jobs for sentiment analysis, AI trainers, AI compliance managers and prediction analysers (among many others) emerge over the next few years. There are other sectors in which new jobs will emerge, too. As IoT, augmented or extended reality, the metaverse, and blockchain technologies intertwine and embed themselves increasingly into our everyday lives; recent research has identified 10 potential key job titles of the future. They are: Chief automation officer (CAO) Gamification marketing specialist Metaverse research scientist Metaverse storyteller Cybersecurity threat attribution analyst VR programmer Human-machine matchmaker AR journey builder Data detective Digital reputation defender What about getting hired now? While some of the jobs above are just emerging or are still a way off, there is plenty of scope for those in the tech sector right now. According to the Bureau of Labor Statistics' , there are 20 occupations with the highest projected percent change of employment between up to 2031. These include data scientists, information security analysts, and web developers. fastest growing occupations report So, if you are in the market for a new tech job, then the should be the place you begin your search. Hackernoon Job Board It contains thousands of roles to apply for, and you can discover three exciting opportunities currently on offer below. Data Scientist, SAIC, Chantilly SAIC is seeking a to fill a critical position. You’ll perform data processing and analysis tasks, working with test designers, statisticians, and other data scientists to build datasets and create analytic products as well as work with senior team members to perform statistical analyses to identify significant effects in novel experimental and operational datasets, including exploratory analyses. A Bachelor's in computer science, data science, or a quantitative science, or similar degree is required, along with two years’ or more experience. You’ll be required to have Active Top Secret/SCI with the ability to get a Poly with the NRO, as well as have experience using Python or R. . Jr Data Scientist Get more details now Senior Frontend Engineer, Remote, Givebutter, Wilmington Fundraising platform Givebutter allows nonprofits to replace multiple tools so they can launch fundraisers and events, use donation forms and donor management (CRM), send emails and text blasts. It is hiring a to contribute to building Givebutter’s products, primarily the CRM platform, perform peer code reviews, ensuring that code meets acceptance criteria, adheres to company code guidelines and follows engineering best practices and work closely with the design team using Figma to build out components and features. . Senior Frontend Engineer View additional details here Information Security Engineer, PayPal, Austin PayPal is seeking a for the Threat Management Engineering team in the Enterprise Cyber Security Org. In this role, you will develop, support, tune and deploy web application firewall security solutions across PayPal. Day-to-day you’ll perform hands-on web application firewall deployment, configuration, policy fine-tuning and maintenance, and investigate and analyze data using a SIEM tool such as Splunk. Among the requirements you’ll need for this role are five years’ of experience in cybersecurity engineering, with experience that includes configuring and managing web application firewalls. . Security Engineer See all the requirements here For thousands more jobs across tech, visit the Hackernoon Job Board today

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Introduction One of the main factors for successful machine learning is choosing the right graphics card that will allow you to process large amounts of data and perform parallel computations as quickly and efficiently as possible. Most machine learning tasks, especially training deep neural networks, require intensive processing of matrices and tensors. Note that TPUs, FPGAs, and specialized AI chips have been gaining popularity recently. What graphics card characteristics are important for performing machine learning? When choosing a graphics card for machine learning, there are a few key features to look for: Computing power: the number of cores/processors determines the parallel processing capabilities of the graphics card. GPU memory: large capacity allows you to work efficiently with large data and complex models. Support for specialized libraries: hardware support for libraries such as CUDA or ROCm speeds up model training. High-performance support: fast memory and wide memory bus provide high performance for model training. Compatibility with machine learning frameworks: you should ensure that the selected graphics card is fully compatible with the frameworks you require and supported developer tools. NVIDIA is the leader in machine learning GPUs today. Optimized drivers and support for CUDA and cuDNN enable NVIDIA GPUs to significantly accelerate computation. AMD GPUs are good for gaming, and they are less common in machine learning due to limited software support and the need for frequent updates. GPU benchmarks for machine learning Memory size (Gb) Clock speed, GHz CUDA cores Tensor cores RT cores Memory bandwidth (Gb/s) Video memory bus width (bit) Maximum power (W) NVLink Price (USD) Tesla V100 16/32 1,24 5120 640 - 900 4096 300 Only for NVLink models 14 447 Quadro RTX 8000 48 1,35 4608 576 72 672 384 360 2 Quadro RTX 8000 GPUs 8200 A100 40/80 1,41 7936 432 - 1555 5120 300 MIG 10000 A 6000 Ada 48 2,5 18176 568 142 768 384 300 yes 6800 RTX A 5000 24 1,62 8192 256 64 768 384 230 2x RTX A5000 2000 RTX 4090 24 2,23 16384 512 128 1 008 384 450 no 1599 RTX 4080 16 2,21 9728 304 76 717 256 320 no 1199 RTX 4070 12 1,92 7680 184 46 504 192 200 no 599 RTX 3090 TI 24 1.56 10752 336 84 1008 384 450 yes 2000 RTX 3080 TI 12 1,37 10240 320 80 912 384 350 no 1499 NVIDIA Tesla V100 A tensor-core GPU designed for artificial intelligence, high-performance computing (HPC), and machine learning applications. Based on the NVIDIA Volta architecture, the Tesla V100 delivers 125 trillion floating point operations per second (TFLOPS). Advantages High performance: Tesla V100 features Volta architecture with 5120 CUDA cores for very high performance in machine learning tasks. It can process large amounts of data and perform complex computations at high speed. Large memory capacity: 16 gigabytes of HBM2 memory enables efficient processing of large amounts of data when training models, which is especially useful for large datasets. The 4096-bit video memory bus allows for high data transfer rates between the processor and video memory, improving the training and output performance of machine learning models. Deep Learning: The graphics card supports a variety of deep learning technologies, including Tensor Cores, which accelerate computing using floating-point operations. This significantly reduces model training time and improves model performance. Flexibility and scalability: Tesla V100 can be used in both desktop and server systems. It supports various machine learning frameworks such as TensorFlow, PyTorch, Caffe, and others, which provides flexibility in choosing tools for model development and training. Disadvantages High cost: NVIDIA Tesla V100 is a professional solution and is priced accordingly. Its cost ($14,447) can be quite high for individuals or small machine-learning teams. Power consumption and cooling: The Tesla V100 graphics card consumes a significant amount of power and generates a significant amount of heat. This may require appropriate cooling measures in your system and may result in increased power consumption. Infrastructure requirements: To fully utilize the Tesla V100, a suitable infrastructure is required, including a powerful processor and sufficient RAM. NVIDIA A100 Delivers the performance and flexibility required for machine learning. Powered by the latest NVIDIA Ampere architecture, the A100 delivers up to five times the learning performance of previous-generation GPUs. The NVIDIA A100 supports a variety of artificial intelligence applications and frameworks. Advantages High performance: a large number of CUDA cores - 4608. Large memory size: The NVIDIA A100 graphics card has 40GB of HBM2 memory, allowing it to efficiently handle large amounts of data when training deep learning models. Supports NVLink technology: This technology enables multiple NVIDIA A100 graphics cards to be combined into a single system to perform parallel computing, which improves performance and accelerates model training. Disadvantages High Cost: The NVIDIA A100 is one of the most powerful and high-performance graphics cards on the market, so it comes at a high price tag of $10,000. Power consumption: Using the NVIDIA A100 graphics card requires a significant amount of power. This can result in higher power costs and may require additional precautions when deployed in large data centers. Software Compatibility: NVIDIA A100 graphics card requires appropriate software and drivers for optimal performance. Some machine learning programs and frameworks may not fully support this particular model. NVIDIA Quadro RTX 8000 A single Quadro RTX 8000 card can render complex professional models with realistic shadows, reflections, and refractions, giving users quick access to information. Its memory is expandable up to 96GB using NVLink technology. Advantages High performance: The Quadro RTX 8000 features a powerful GPU with 5120 CUDA cores. Support for Ray Tracing: real-time hardware-accelerated ray tracing allows you to create photorealistic images and lighting effects. This can be useful when working with data visualization or computer graphics as part of machine learning tasks. Large memory size: 48GB of GDDR6 graphics memory provides ample storage space for large machine-learning models and data. Library and framework support: The Quadro RTX 8000 is fully compatible with popular machine learning libraries and frameworks such as TensorFlow, PyTorch, CUDA, cuDNN, and more. Disadvantages High cost: Quadro RTX 8000 is a professional graphics gas pedal, which makes it quite expensive compared to other graphics cards. It is priced at 8200 dollars. RTX A6000 Ada This graphics card offers the perfect combination of performance, price and low power consumption, making it the best option for professionals. With its advanced CUDA architecture and 48GB of GDDR6 memory, the A6000 delivers high performance. Training on the RTX A6000 can be performed with maximum batch sizes. Advantages High performance: Ada Lovelace architecture, third-generation RT cores, fourth-generation tensor cores, and next-generation CUDA cores with 48GB of video memory. Large memory size: NVIDIA RTX A6000 Ada graphics cards are equipped with 48 GB of memory, allowing them to work efficiently with large amounts of data when training models. Low power consumption. Disadvantages High cost: the RTX A6000 Ada costs around $6,800. NVIDIA RTX A5000 The RTX A5000 is based on NVIDIA's Ampere architecture and features 24GB of memory for fast data access and accelerated training of machine learning models. With 8192 CUDA cores and 256 tensor cores, the card has tremendous processing power to perform complex operations. Advantages High performance: A large number of CUDA cores and high memory bandwidth allow you to process large amounts of data at high speed. AI hardware acceleration support: the RTX A5000 graphics card offers hardware acceleration for AI-related operations and algorithms. Large memory size: 24GB GDDR6 video memory allows you to work with large datasets and complex machine-learning models. Support for machine learning frameworks: The RTX A5000 graphics card integrates well with popular machine learning frameworks such as TensorFlow and PyTorch. It has optimized drivers and libraries that allow you to leverage its capabilities for model development and training. Disadvantages Power consumption and cooling: graphics cards of this class usually consume a significant amount of power and generate a lot of heat q1. To utilize the RTX A5000 efficiently, you need to ensure proper cooling and have a sufficient power supply. NVIDIA RTX 4090 This graphics card offers high performance and features that make it ideal for powering the latest generation of neural networks. Advantages Outstanding performance: NVIDIA RTX 4090 is capable of efficiently processing complex computations and large amounts of data, accelerating the training of machine learning models. Disadvantages Cooling is one of the main issues users may encounter when using the NVIDIA RTX 4090. Due to its powerful heat dissipation, the card can become critically hot and automatically shut down to prevent damage. This is especially true in multi-card configurations. Configuration limitations: GPU design limits the ability to install more NVIDIA RTX 4090 cards in a workstation. NVIDIA RTX 4080 It is a powerful and efficient graphics card that provides high performance in the field of artificial intelligence. With its high performance and affordable price, this card is a good choice for developers looking to get the most out of their systems. The RTX 4080 has a three-slot design, allowing up to two GPUs to be installed in a workstation. Advantages High performance: The card is equipped with 9728 NVIDIA CUDA cores for high-performance computing in machine learning applications. It also features tensor cores and ray tracing support for more efficient data processing. The card is priced at $1,199, giving individuals and small teams a productive machine-learning solution. Disadvantages SLI limitation: The card does not support NVIDIA NVLink with SLI functionality, which means that you cannot combine multiple cards in SLI mode to maximize performance. NVIDIA RTX 4070 This graphics card is based on NVIDIA's Ada Lovelace architecture and features 12GB of memory for fast data access and accelerated training of machine learning models. With 7,680 CUDA cores and 184 tensor cores, the card has good processing power to perform complex operations. A great choice for anyone who is just starting to learn machine learning. Advantages Sufficient performance: 12GB of memory and 7,680 CUDA cores allow you to handle large amounts of data. Low power consumption: 200 W. The low cost at $599. Disadvantages Limited memory: 12 GB of memory might limit the ability to process large amounts of data in some machine learning applications. No support for NVIDIA NVLink and SLI: The cards do not support NVIDIA NVLink technology for combining multiple cards in a parallel processing system. This can limit scalability and performance in multi-card configurations. NVIDIA GeForce RTX 3090 TI This is a gaming GPU that can also be used for deep learning. The RTX 3090 TI allows for peak single precision (FP32) performance of 13 teraflops and is equipped with 24GB of video memory and 10,752 CUDA cores. Advantages High performance: Ampere architecture and 10,752 CUDA cores enable you to solve complex machine-learning problems. Hardware Learning Acceleration: The RTX 3090 TI supports Tensor Cores technology, which provides hardware acceleration of neural network operations. This can significantly accelerate the training process of deep learning models. Large memory capacity: with 24GB of GDDR6X memory, the RTX 3090 TI can handle large amounts of data in memory without the need for frequent read and write operations to disk. This is especially useful when working with large datasets. Disadvantages Power consumption: The graphics card has a high power consumption (450W), which requires a powerful power supply. This may incur additional costs and limit the use of the graphics card in some systems, especially when using multiple cards in parallel computing. Compatibility and support: there may be compatibility and incompatibility issues with some software platforms and machine learning libraries. In some cases, special customizations or software updates may be required to fully support the video card. NVIDIA GeForce RTX 3080 TI The RTX 3080 TI is a great mid-range card that offers great performance and is a good choice for those who don't want to spend a lot of money on professional graphics cards. Advantages High Performance: The RTX 3080 features Ampere architecture with 8704 CUDA cores and 12GB of GDDR6X memory, providing high processing power for demanding machine learning tasks. Hardware Learning Acceleration: The graphics card supports Tensor Cores, which enables significant acceleration in neural network operations. This contributes to faster training of deep learning models. It's relatively affordable at $1,499. Ray Tracing and DLSS: The RTX 3080 supports hardware-accelerated Ray Tracing and Deep Learning Super Sampling (DLSS). These technologies can be useful when visualizing model results and provide higher-quality graphics. Disadvantages Limited memory capacity, 12GB, may limit the ability to handle large amounts of data or complex models that require more memory. If you're interested in machine learning, you will need a good graphics processing unit (GPU) to get started. But with so many different types and models on the market, it can be hard to know which one is right for you. Choosing the best GPU for machine learning depends on your needs and budget. or a server with a with professional-grade NVIDIA RTX 5500 / 5000 / A4000 cards. are also available. The GPU card is dedicated to the VM and cannot be used by other clients. GPU performance in virtual machines matches GPU performance in dedicated servers. Rent GPU servers with instant deployment custom configuration VPS with dedicated GPU cards Also published . here

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Reviewing the Top 10 Crypto Smart Contract Platforms in 2023

Hi, dear HackerNoon fam ✨ is here with freshly backed content dedicated to career development. Daria This year marks a decade since I started my Brand Marketing Strategist career. And you know what that means? It's time to spill the beans and share the TOP 10 lessons I've learned since 2013. Trust me, these lessons aren't just for the newbies out there; even seasoned pros can find some value in them. The Top 10 Lessons So, here is my list, and you can add your points or discuss the existing ones: ❇️ , especially if you're just starting out and don't have a wide portfolio or names of famous companies on your CV. Nobody will offer you anything just like that. You must understand what you want to get, and actively move towards the intended goal. Take charge and be proactive ❇️ Be responsible. It may sound banal, but you'd be surprised how many people overlook this simple tip. If you say you'll be there at 3 pm, then be there at 3 pm, or give a heads-up in advance. Nothing wrecks your reputation and career faster than being unreliable 🙁 ❇️ if the experience you gain will earn you more in the future. I started my career with an internship at the international advertising agency Havas, and it gave me knowledge and experience that I would not have gained on my own 🚀 Don't be afraid to work for free or for minimal pay ❇️ . Know the cost of your time and experience The previous rule applies to those fresh-faced newcomers. If you're a seasoned pro, working for free or below market price is a crime against your self-esteem. A very low price for your services or low salary expectations as an employee can scare off a potential client or employer because few people want to work with unprofessionals or people who do not value their work. It is better to name a higher price and negotiate if necessary. ❇️ Nobody likes a bearer of bad news. If you stumble upon a sticky situation, think about a solution before rushing to your manager. Even if your idea isn't the best, you'll come across as someone who takes action instead of just whining about the problem. I know several people who have been fired after regularly reporting problems and not taking the initiative to resolve them. So, I remind you about the first item on my list. ❇️ If you are young, you may meet people who will try to hinder your development. When I was 21-25 years old, I was the youngest in the team, and some senior colleagues, feeling competition, made small troubles for me and other younger colleagues. It pissed me off, but eventually, I realized it was just plain ol' envy 🤷‍♀️ ❇️ I recommend surrounding yourself with inspiring people who can teach you. Having mentors or role models who lift you up and give solid advice is crucial. One of my go-to folks was the agency's creative director; many other colleagues were happy to share knowledge✨ Nowadays, I love mingling with diverse individuals and gladly offer up my experience to those in need. For me, it is pleasant and important to help newbies understand the secrets of strategic marketing, branding, business development in Web3, and related topics. ❇️ Empathy is the secret sauce. Try to put yourself in the shoes of your clients, colleagues, or manager. You have to understand when people need a break and sometimes even persuade a colleague to take a vacation. And when on the contrary, more motivation and the creation of a competitive environment in the team are needed to obtain the maximum result. Empathy will help you become a trusted leader instead of a boss that strikes fear into the hearts of others. ❇️ Listen carefully, and don't be afraid to ask. This is especially true when dealing with clients directly. Too many people assume things based on their past experiences instead of seeking clarification. Don't make that rookie mistake! At a meeting with clients, most of the time, I listen and ask questions. If you took on a project and did not get to know the business or did not find out the goals, then be prepared for the fact that everything will change along the way, and the result of your work will not cause delight. There are no bad clients. There are unclear tasks, unprescribed working conditions, and unjustified expectations. ❇️ . Play to your strengths and focus on meaningful endeavors that can skyrocket your achievements You don't have to be everyone's favorite. If you try to please everyone, you'll waste your energy on others at the expense of your own growth. Stick to what you're good at, and let it be the basis for acquiring skills and knowledge from various fields. 🤗 So, what do you think? Got anything to add? I'm all ears and grateful for your input! Follow me on social media if you like my thoughts. , , and welcome you! YouTube Linkedin Twitter

TOP 10 Career Lessons of a Web3 Strategist With 10 Years of Experience in Marketing

This is by ( ). 13+ years of strategy in tech companies. Twitter thread Antonio Reza @theantonioreza source: 01-17-2023 https://twitter.com/theantonioreza/status/1615347722952884224?embedable=true&thread=true The lead image for this article was generated by HackerNoon's via the prompt "Excel Sheets.” AI Image Generator

Antonio Reza's Top 10 Secrets to Mastering Sheets Like a Pro

Introduction: In today's fast-paced and rapidly evolving world of technology, IT leaders must stay ahead of the curve to drive innovation and lead their organizations to success. Keeping up with the latest trends, strategies, and best practices is crucial, and one of the most effective ways to gain knowledge is through reading books written by industry experts. This article presents a definitive top 10 list of must-read tech books for IT leaders in the current landscape. These books cover a range of topics, including digital transformation, cybersecurity, leadership, artificial intelligence, and more. The Phoenix Project" by Gene Kim, Kevin Behr, and George Spafford: Considered a modern classic, "The Phoenix Project" is a fictional novel that explores the challenges of IT management and the DevOps philosophy. This book provides valuable insights into how to transform traditional IT departments into highly efficient and collaborative teams. The Lean Startup" by Eric Ries: In this highly influential book, Eric Ries introduces the concept of Lean Startup methodology, which focuses on rapid experimentation, iterative product development, and customer feedback. IT leaders can learn how to apply these principles to drive innovation and build successful . technology-driven businesses The CIO Paradox" by Martha Heller: Martha Heller, a recognized CIO and IT leadership expert, offers practical advice on how to navigate the complex role of a Chief Information Officer (CIO). This book addresses the challenges faced by IT leaders, such as balancing innovation and operational efficiency, and provides strategies for success in today's digital era. : The Innovator's Dilemma" by Clayton M. Christensen Clayton Christensen's groundbreaking book explores the challenges faced by established companies in disruptive industries. IT leaders can gain valuable insights into how to foster innovation, navigate market changes, and drive growth in an ever-changing technology landscape. : Measure What Matters" by John Doerr This book introduces the concept of Objectives and Key Results (OKRs), a goal-setting framework that has been widely adopted by tech giants like Google and Intel. John Doerr provides practical guidance on how to align teams, set ambitious goals, and track progress to achieve breakthrough results. : The Fifth Discipline" by Peter M. Senge "The Fifth Discipline" explores the concept of a learning organization and the importance of systems thinking. IT leaders can learn how to foster a culture of continuous learning, collaboration, and innovation within their teams, ultimately leading to long-term success. : The Art of Invisibility" by Kevin D. Mitnick As cybersecurity becomes increasingly important, IT leaders need to stay informed about the latest threats and security measures. Kevin Mitnick, a former hacker turned security consultant, provides valuable insights into how to protect sensitive information and maintain privacy in the digital age. : Machine Learning Yearning" by Andrew Ng For IT leaders interested in harnessing the power of artificial intelligence and machine learning, this book is a must-read. Andrew Ng, a renowned AI expert, offers practical advice on how to build and deploy effectively, addressing common challenges and pitfalls. machine learning systems : Accelerate" by Nicole Forsgren, Jez Humble, and Gene Kim Based on extensive research, "Accelerate" provides insights into the factors that drive high-performing technology organizations. IT leaders can learn how to optimize software delivery, foster a culture of innovation, and leverage automation to achieve superior business outcomes. : The Unicorn Project" by Gene Kim A companion novel to "The Phoenix Project," "The Unicorn Project" explores the challenges faced by developers within an organization and offers strategies for driving innovation and overcoming obstacles. IT leaders can gain valuable insights into the importance of empowering and supporting their development teams to foster a culture of creativity and collaboration. Conclusion: In the rapidly evolving world of technology, staying informed and continuously learning is essential for IT leaders. The books mentioned in this definitive top 10 list provide a wealth of knowledge and insights on topics ranging from digital transformation and leadership to cybersecurity and artificial intelligence. By reading these must-read tech books, IT leaders can expand their perspectives, gain practical advice, and acquire the necessary tools to navigate the complex IT landscape successfully. These books offer valuable lessons from industry experts and thought leaders, allowing IT leaders to understand the challenges and opportunities present in today's technology-driven world. Whether it's learning how to drive innovation, manage teams effectively, or navigate the intricacies of digital transformation, each book in this list offers unique insights that can be directly applied to the daily responsibilities of IT leaders. Incorporating these books into their reading repertoire will not only enhance IT leaders' knowledge and skills but also enable them to make informed decisions, drive organizational growth, and inspire their teams to achieve excellence. By staying abreast of the latest trends and best practices, IT leaders can position themselves as visionary leaders capable of guiding their organizations through the ever-changing technology landscape. It is worth noting that this top 10 list is by no means exhaustive, as the technology industry continues to evolve at a rapid pace. However, these books serve as an excellent starting point for IT leaders seeking to expand their knowledge and enhance their leadership abilities. By investing time and effort into reading these books, IT leaders can equip themselves with the insights and strategies necessary to thrive in the dynamic world of technology and drive their organizations towards success. FAQs for Today's Must-Read Tech Books for IT Leaders: A Definitive Top 10 List Why should IT leaders read tech books? Q1: A1: IT leaders need to stay updated with the latest trends, strategies, and best practices in the technology industry. Reading tech books written by industry experts provides valuable insights, practical advice, and knowledge that can be applied to drive innovation, make informed decisions, and lead their organizations effectively. How were these top 10 books selected? Q2: A2: The top 10 books were selected based on their relevance, impact, and popularity among IT leaders and professionals. These books cover a wide range of topics that are crucial for IT leaders, including digital transformation, cybersecurity, leadership, artificial intelligence, and more. Can these books be useful for IT professionals besides IT leaders? Q3: A3: Absolutely. While these books are specifically curated for IT leaders, they contain valuable insights and knowledge that can benefit IT professionals at all levels. IT professionals can gain a deeper understanding of industry trends, learn new skills, and enhance their expertise by reading these books. Are these books suitable for both technical and non-technical IT leaders? Q4: A4: Yes, the selected books cater to both technical and non-technical IT leaders. While some books may have a technical focus, they are written in a way that makes the content accessible to a broader audience. Each book offers unique perspectives and insights that can be valuable to IT leaders with diverse backgrounds.

Today's Must-Read Tech Books for IT Leaders: A Definitive Top 10 List

When I talk to you about Bitcoin, I constantly explain that I have chosen to be a Bitcoin HODLer rather than a Bitcoin Trader. Daily trading is something that requires specific skills, but also time, lots of time. I'm interested in the price action of Bitcoin daily, I even write about it from time to time for my readers, but I'm a Bitcoin HODLer because it fits my profile. I have total confidence in the success of the Bitcoin revolution, so I let time work in my favor. I understand that others may not make this choice, but that is at their own risk as I always say. That being said, I see at least 10 reasons why you might lose money with Bitcoin or cryptocurrencies if you decide to become a trader. Here they are: 1. -> In life, it's what you don't know that makes you lose the most money. Your goal should always be to increase your knowledge to reduce your ignorance. This will help you make better choices and reduce your risk of capital loss. A lack of knowledge 2. -> Whatever your emotions, they should never dictate your investment choices. No FOMO, No FUD. You let your emotions dictate your choices 3. -> If you choose to trade, you must understand that risk is inherent to this activity. Therefore, you must define a risk management strategy. Poor risk management 4. -> Never let yourself be overwhelmed by this trading activity. Whether things work out for you or not, always keep a cool head. Over trading 5. -> Define a clear plan with goals to achieve and stick to it. Lack of a trading plan 6. -> Trading is a demanding activity that requires discipline. In a market that never sleeps like Bitcoin and cryptocurrencies, it's even more ready. Prepare different scenarios in advance and anticipate them so you don't get overwhelmed. Lack of discipline 7. -> Trading is an addictive activity that is strongly linked to the data and information of the markets and the economy. You must, therefore, be prepared to follow this closely or you will quickly lose your way. Not keeping yourself informed with the data and information of the markets and the economy 8. -> All traders lose money because of bad choices. What you have to do is accept it and minimize your losses by cutting your losses quickly. Too many novice traders refuse to accept and will hold cryptocurrencies for far too long, which will increase their losses even more. Bitcoin is in a class of its own here in my opinion, as you have more guarantees that it is here to stay. For Altcoins, it's all about the trend. And as trends come and go, be prepared... Not cutting losses quickly 9. -> When you've picked the right horse, you should maximize your winnings by not getting out too early. Easier said than done, but this is your goal if you want to trade. Not maximizing winners 10. -> While Bitcoin is here to stay, the vast majority of Altcoins will eventually disappear. The market is purged with each Bear Market and you will need to avoid having your money washed away in these purges. Narratives change between each cycle, and you need to adapt to take advantage of them. Refuse to adapt Trading is a demanding business with multiple challenges. It's up to you to prepare for it if you want to avoid losing big. If you prefer security, you know that Bitcoin HODLing is always there for you. It's up to you! . This article was first published as an NFT on Mirror

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