Volition just raised $11 million to become the same indispensable supplier for mechanical and industrial engineering: think motors, gears, pneumatics, hydraulics, controllers, sensors, measuring and test equipment,

Volition wants to be DigiKey for industrial parts

Get the most recent info and news about Octopart on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

Engineering tools should be as streamlined and smart as everything else in your life: as your phone, as your email, as all the apps that help you manage your day-to-day. Your work should be as efficient as possible so you can generate innovative ideas, design elegant technology, and manufacture at scale, all because you can focus on the right things. There should not be any distractions caused by poorly designed websites, unreliable data, or unwieldy spreadsheets of haphazard electronic component information. You should be able to compare components, find important technical information, and easily grasp the spectrum of parts that will be a match for your design.

This is what Octopart strives for.

Finding electronic component information should not be holding engineers back from bringing ideas to life quickly and efficiently. We believe that pricing, availability, technical specifications, and reference designs should be transparent, fast to find, and easy to understand. That’s why we create powerful, intelligent tools that streamline the engineering workflow and enable fast decision making. Octopart provides accurate and complete data for millions of electronic components in a way that makes it easy to find and compare parts. Focus on the important stuff: building the technology of the future.

Octopart

Octopath Traveler 2 was released in February 2023 by Square Enix as a sequel to the renowned JRPG Octopath Traveler. Octopath Traveler has been one of the and has received high praise for its amazing visual and sound effects as well as its satisfying battle system and interesting storylines. The only setback that upset many fans was that . most well-received JRPGs of the last decade the storylines of the eight characters weren’t connected in a meaningful way With new stories, features, music, and other aspects introduced, I consider Octopath Traveler 2 an improvement over the amazing previous game. It manages to maintain the high-quality elements of Octopath Traveler while fixing any negative aspects it had by adding more interactions between the eight characters and linking the overall story in a fitting way. In this article, I will review Octopath Traveler 2 on the Nintendo Switch console by examining the story outline, the gameplay, the graphics, and the audio of the game. As a big fan of JRPGs, with some of my latest favorite games being Chained Echoes, Tactics Ogre: Reborn, and -of course- Octopath Traveler, I feel almost obligated to try and review Octopath Traveler 2. Table of Contents: Octopath Traveler 2 Story: Finally the Characters’ Unique Stories are Linked in a More Meaningful Way Plot Characters Octopath Traveler 2 Gameplay: A Vast Detailed World World Exploration Battle Mechanics: An RPG Classic With Some Improvements Octopath Traveler 2 Graphics: A Beautiful and Detailed World Octopath Traveler 2: Soundtrack, Sound Effects, Voice Acting Octopath Traveler 2 Switch Review Verdict Octopath Traveler 2 Story - Finally the Characters’ Unique Stories are Linked in a More Meaningful Way https://www.youtube.com/watch?v=lgmLN1NHXyE&embedable=true Octopath Traveler 2 follows the stories of eight different characters, each with their own unique background. While it is a sequel to Octopath Traveler, it’s not a direct sequel. Instead, Octopath Traveler 2 is a standalone game and you do not need to play Octopath Traveler to fully experience it. Plot The plot is split between eight characters, all of whom decide to leave their hometowns for different reasons. Their adventures bring them together and have them explore the world. Most individual stories manage to maintain immersion from the beginning all the way to the end. For instance, when playing through Osvald’s story or Throne’s story, I was always eager to find out what will happen next and how each scene will play. Other than the story of Agnea, which felt more predictable and less detailed, every other storyline managed to surprise me and keep me on edge in one way or another. I rarely wanted to skip through dialogues, as every bit of information felt important to the interesting plot. As for the ending, it manages to wrap up all eight storylines in an emotional way and serves as the perfect form of closure to an amazing story. However, the game doesn’t explain in much detail how each character decides to join the others at first, and this part feels slightly rushed and vague. Nevertheless, as the stories progress, Travel Banter and Crossed Path stories help everything come together. Compared to the previous game, the individual stories are equally interesting and unique, with the main difference being that they are now linked together in a more meaningful way. Instead of making the game feel like eight different stories, Octopath Traveler 2 tells one well-connected story. Characters The game features eight characters, each with a unique background and story to tell. Here are all of them: - He is the Prince of Ku, a nation that tries to establish peace. However, his warmongering brother takes control of the nation, and Hikari is forced to leave in an attempt to find strong allies who will help him regain control of the nation. Hikari - A merchant who wants to make the world a better place for everyone through the art of trade. Partitio - A thief belonging to an organization named ‘Blacksnakes’ The ‘Blacksnakes’ save children and force them to become thieves (one of the darker storylines). Throne manages to break free and tries to kill the leaders of the ‘Blacksnakes.’ Throne - A wrongfully imprisoned scholar who breaks free and tries to find the man who framed him. Osvald - An inquisitor of the Church of the Sacred Flame who investigates a series of murders against the church and tries to find the truth. Temenos - A local dancer who wants to become a superstar and dance at the most popular venues. Agnea - An apothecary who lost her memories and travels the world in an attempt to regain them. Castti - A beastling who wants to become a hunter and protector of her island. Before becoming a protector, she needs to find three sacred beasts from around the world. Ochette Each character has a unique story full of twists and turns and players get to experience it through a first-person narrative. The best part about the characters of the game is that almost each of them has some unique twist on their story and personality that managed to surprise me. Partitio, despite being a merchant and always looking for a good deal, is anything but greedy; instead, he’d rather spend all his money in an attempt to make the world a better place. Osvald, a renowned scholar who thinks before he acts, becomes blinded by revenge and does everything in his power to find the man who framed him. The most surprising one has been Temenos, who despite being a high-ranked church member, is , even his own beliefs. always ready to question everything Personally, this applies to every character’s story except Agnea. Her storyline didn’t feel unique but predictable. However, every other character managed to surprise me through the unique twists and turns in their stories. Octopath Traveler 2 Gameplay: A Vast Detailed World As for the gameplay, for this Octopath Traveler 2 Switch review, I will focus on the amazing and vast explorable world and the satisfying battle system of the game. Let’s examine them in detail. World Exploration . Each character’s story takes you to a different place with a different theme: from the snowy and unwelcoming tundra of the Winterlands to the vast desert of Hinoeuma, and the dense forests of the Leaflands, the world of Solistia is full of new biomes to explore. The world of Octopath Traveler 2 is vast and full of details The best part is that players are free to explore the world in any order they prefer. They can skip certain places completely or check every corner for hidden items. After all, the game is filled with optional content including sidequests, hidden chests, optional maps, and bosses, as well as hidden secrets. There’s always something new to explore, and the game will reward you for putting in the extra effort. While the stories mentioned in sidequests are less compelling compared to the main storyline, the rewards are well worth it. For instance, progressing side quests, optional maps, and bosses is the only way for players to , which can then be exchanged at the Armsmaster with some of the strongest weapons in the game. get their hands on the Rusty Weapons One minor setback is that, occasionally, players will have to stop exploring around to grind in certain areas. This is because the next quest or area will require a higher level, and even if you’re doing sidequests and exploring around, you’ll still need to grind for a few extra levels. However, this is just a minor bump. The game’s storylines would feel more connected without it, but grinding has always been a part of JRPGs and Octopath Traveler 2 only has a small/normal amount of it. Especially when following the , you won’t have to grind as much. best tips on how to level up fast Battle Mechanics: An RPG Classic With Some Improvements over Octopath Traveler. The combat system is the classic RPG system with a few improvements Each enemy is weak to certain weapons and magic attacks, and players have to identify enemy weaknesses. Each time they hit a weak spot, the enemy takes more damage and loses points of their shield. When the shield is broken, enemies will take more damage from all attacks and lose their next action. Ideally, you always want to break enemies first with weak attacks and then use your strongest moves to damage them while broken. This is ideally paired with the BP (Battle Points) mechanic, where each character gains one battle point on each turn. At any point, they can spend these points to empower their next move. Also, each character is unique in the sense that they have a Latent Power. This charges up during combat while taking damage and breaking enemy shields and offers a unique effect when activated based on the characters. These powers can vary from gaining maximum BP in an instant to dealing heavy AoE damage to enemies. The goal is to fill up your BPs, then break enemies, and hit them with your strongest moves while they’re broken. Overall, the battle system was extremely satisfying and even the fights against common enemies in the open world were interesting. I wanted to learn the weaknesses of every enemy and was always trying to deal more damage compared to the previous fight. Each map included a wide variety of enemies, to the point where I needed to use different characters for each boss. Most bosses were exceptionally challenging but in an interesting way. At first, I went into each boss fight expecting to lose but while trying to find out their weaknesses and attack patterns. Then, I came back better prepared and tried to utilize and experiment with various character combos to deal as much damage as possible based on their weaknesses. Each boss fight felt unique and brought some new mechanics to the game that can be learned only through trial and error. For instance, there is a boss in the optional Decaying Temple mini-dungeon that has three different phases and can one-shot you if you don’t have the right build. https://www.youtube.com/watch?v=-fX4qM2sbXw&embedable=true Octopath Traveler 2 Graphics: A Beautiful and Detailed World In terms of graphics and special effects, Octopath Traveler 2 manages to create a picturesque world full of detail. It features the classic style of RPG games while also adding small details to make the world feel more alive. This includes features like slow-moving cloud shadows, lighting changes through the scenes, and dust hovering while moving through certain areas. The overall image is sharp and full of detail, and Octopath Traveler 2 manages to create a beautiful visual experience. As for performance, the game runs flawlessly on both the Nintendo Switch and the Steam Deck consoles. The game never had any FPS drops and the visuals were stunning. Octopath Traveler 2: Soundtrack, Sound Effects, Voice Acting https://www.youtube.com/watch?v=EpVFw-UyZPA&embedable=true The soundtrack of the game created by Yasunori Nishiki, the composer of the soundtrack in the first game, is phenomenal. Overall, Yasunori Nishiki has received high praise for his work in Octopath Traveler as the . music is tightly connected to the action and doesn’t feel separated The audio always fits the scene and properly sets the mood. It alternates between various themes and helps create immersion. From the heroic tunes playing during battle to the relaxed atmosphere while strolling through the cities, there’s a soundtrack for every scenario. The sound effects are satisfying and make certain actions feel even more rewarding. For instance, breaking an enemy’s shield or using a fully charged skill is always an amazing moment, even if the enemy is only a common foe. Lastly, all major cutscenes from the main storyline are voice acted, which makes the game come alive and tell its story in a great way. The voice actors always managed to deliver the necessary emotion in each scene to make the characters feel alive. I could understand how the characters felt solely based on the voice lines, even without reading the actual dialogue. Octopath Traveler 2 Switch Review Verdict: 9/10 Overall, Octopath Traveler 2 has everything an RPG should have: an immersive storyline with unique characters, a great soundtrack to accompany it, and great graphics and performance to bring everything together. Its only minor setbacks - the extra grind and the vague explanation of how each character joins the party - are overshadowed by all the other amazing elements. Moving on, if Square Enix decides to go for Octopath Traveler 3, the bar will be exceptionally high to the point where it almost feels like a Sisyphean task. However, after finishing Octopath Traveler 2, fans will definitely be asking for a sequel. Have you tried Octopath Traveler 2 yet? What did you think compared to the previous game? Let us know in the comments below. If you’re a fan of RPGs in general and are looking for a new game, consider checking out our list of the . 10 best Mario RPGs ranked by sales

Octopath Traveler 2 Switch Review: An Improvement Over the Previous Game

We live in a data age where data is an important asset in our life and business as well. In the business area, data can be used to collect insights, analyze and make data-driven decisions to solve particular business problems or challenges. Most of the data is collected from websites, apps, social media platforms, and other online platforms. You can use web scraping tools to collect data that you want from the web instead of copying and pasting data manually. The more advanced way is to use software tools, such as Octoparse, which can help you collect data from any website without coding skills within an hour, not in days. What is Octoparse? Octoparse is a visual software tool for anyone who wants to extract different types of data from websites without coding skills. If you don't have coding skills, then Octoparse is the right software tool for you. Octoparse has a lot of features that make it easier and faster for you to get data from the website(s) within a short period. It has a cloud service feature that allows you to run scrapers and access data on the Octoparse Cloud Platform. This is a good service if you plan to collect a large amount of data from the web. Who can use Octoparse? Octoparse can be used by anyone who works on a project where you need to scrape data from the web. Don't worry about having programming skills, you don't have to come from a programming background to use the Octoparse software tool. New Features in Octoparse 8.4 Octoparse 8.4 comes with new features that you don't want to miss. With the brand new version, it gets faster, easier, and more robust to scrape data from the web. 1. New layout The workflow in Octoparse 8.4 is switched from the left to the right side. You can also choose the layout you want (horizontal or vertical). The horizontal view will allow you to view the data row by row whereas, in the vertical view, you can view a specific line and view all data fields vertically. This view is very useful when you want to add a batch of data at the same time. 2. Integration Zapier is now available in Octoparse 8.4, it allows you to integrate Octoparse with the most popular apps like Slack, Google Drive, and many more. With Zapier, you can automate your work and have more time for what matters most. Note: you can learn more and try it . here 3. Backup local data to the Cloud You can now backup the local data you have scrapped to the Octoparse cloud platform. You just need to install the new version of Octoparse 8.4 and start using the new feature. Note: This feature is available for enterprise users only. It is open to users with professional plans as well. How to download and Install Octoparse 8.4 Here are the three steps you need to follow to make sure you have Octoparse 8.4 in your machine. (a) Download the installer Go to website: https://www.octoparse.com/download and download Octoparse 8.4 or click this link . here Note: If you are a Mac user, click and follow the same instruction. here (b) Install Octoparse 8.4 on your machine. Follow the installation instructions to install Octoparse 8.4. Make sure your machine has all requirements necessary to run octoparse 8.4. (c) Log in with your account. After completing installing octoparse 8.4, you can now log in with your account. Sign up if you don't have an account yet. here Use Case: Step by Step on How to Scrap Smartphone Data In this use case, you will learn how to scrap phone data from the website and save them into a CSV file. Let's get started. Step 1: Launch Octoparse The first step is to launch Octoparse in your machine and then log in with your account. Step 2: Enter URL After login, you need to enter the following URL ( ) in the main field and click the start button. https://www.tanzaniatech.one/bei/ The octoparse will load the page and start detecting the data available on the web page. Step 3: Specify Data to Extract When detection is completed, you will see a tip panel that will show you the instruction to follow. Also, you will be able to see data on the preview section We will collect the following details for each phone or laptop listed on the website. Name of the phone/laptop CPU Details RAM details Storage details Display details Camera details OS name URL of the phone Price of the phone Rating Note: Octoparse has already automatically detected all the data attributes we want to collect. You can see the list on the preview panel. Since the phone/laptop details are listed on more than one page, we need to specify the pagination loop to scrape data from the rest of the pages. On the Tips panel, click the edit button as shown below. Here we need to confirm the "Next" button on the page so that octoparse can click on the "Next" button automatically and scrap the data we have specified. If you don't want to extract data from all pages available, you can also specify the number of pages you want to extract data by selecting them on the Tip panel. Note: The "Next" button is detected automatically and highlighted on the web page. Step 4: Run the Task Our next step is to run the task we have specified. You need to click the "Create workflow" button on the Tip panel to save the settings and auto-generate the workflow. Finally, you need to click "Run task now" to start running the task and scrape data from the web pages. Note: You can choose where to run the task either on your device or on the Octoparse cloud (if you are a premium user). Step 5: Export the Data After scraping the data, click the "Export Data" button to save the data on your device. You also have some options to choose the format to save your data.The available options are Excel, CSV,HTML,JSON or export to database. Finally, you can write the name of your file and Octoparse will save the file on your device with the name and file format you have specified. For this example, we can choose to save the file in .xlsx format. Here is the sample of data we have scraped from the website. Now you can analyze and explore the data you have extracted the way you. Conclusion In this article, you have learned how to use Octoparse to scrape data from any website you want and save data on your device. Octoparse is a powerful data extraction tool and it is very easy to use to extract data from complex websites such as amazon.com and others. You can also choose different task templates to extract data from popular websites such as eBay, Facebook, Instagram, Youtube e.t.c If you learned something new or enjoyed reading this article, please share it so that others can see it. Until then, see you in the next article!

How to Get Start No-Code Web Scraping with Octoparse

Let's learn about via these 75 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Datasets /Learn Repo 1. Top 15 Datasets for Autonomous Driving A2D2, ApolloScape, and Berkeley DeepDrive are among the best autonomous driving datasets available today. 2. Web Scraping API para Extracción de Datos: Una Guía para Principiantes ¿Alguna vez te sucede cuando la gente te pide que escribas una API separada para integrar datos de redes sociales y guardar los datos sin procesar en tu base de datos de análisis en el sitio? Definitivamente quieres saber qué es la API, cómo se usa en web scraping y qué puede lograr con ella. Echemos un vistazo. 3. 10 Best Stock Market Datasets for Machine Learning For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning. 4. Evolution of The Data Production Paradigm in AI The long-term success of an AI-based product relies on having the infrastructure for scalable, flexible, and cost-effective data labeling for its learning. 5. Collecting Data from 1.1M Hacker News Curated Comments In this test we use the data collection of 1.1M Hacker News curated comments with numeric fields from https://zenodo.org/record/45901. 6. 10 Biggest Image Datasets for Computer Vision Data is very important in building computer vision models and these are the 10 Biggest Datasets for Computer Vision. 7. Top 20 Image Datasets for Machine Learning and Computer Vision Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do. 8. The Art of Data Storytelling: How to Make Your Data Impactful Data is everywhere: whether you choose a new location for your business or decide on the color to use in an ad, data is an invisible advisor that helps make impactful decisions. With quite a number of resources to choose from, data is becoming more accessible, day by day. But as soon as it has been collected, one inevitable question arises: how do I turn this data into insights that can be acted upon? 9. 10 Best Hugging Face Datasets for Building NLP Models Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models. 10. How This Open Litter Database Will Save the Planet The Litterati app has been around for a couple years on iOS + Android. Over that time, well over 100k people have downloaded the app and been a part of a global team that is 'crowdsource cleaning the Earth'. Over that time, people only had access to the data that they themselves generated. 11. Sort Through Online Data  via Web Scraping [101] How Can You Sort Through Online Data? 12. 6 Work from Home Positions in AI Data Collection and Data Annotation For digital nomads, college students, stay-at-home parents or anyone looking for remote work positions, this article introduces online/remote work positions that are available today in the fields of AI Data Collection and Data Annotation. 13. Universal Data Tool Introduction: Weekly Update 1 If you haven’t heard of the Universal Data Tool, it’s an open-source web or desktop program to collaborate, build and edit text, image, video and audio datasets with labels and annotations. You can get started with the Universal Data Tool at universaldatatool.com 14. Spending Weekend with GraphQL Have you ever experienced an itch you just can’t scratch? If yes, then you will feel my pain. A few days back, everything was fine, I was happily writing code(!) and doing standup meetings regularly. Just before the weekend, my boss called me and shared this problem with me. 15. How Data Analysis Helps Unveil the Truth of Coronavirus These days we are all scared of the new airborne contagious coronavirus (2019-nCoV). Even if it is a tiny cough or low fever, it might underlie a lethargic symptom. However, what is the real truth? 16. 10 Best Image Classification Datasets for ML Projects To help you build object recognition models, scene recognition models, and more, we’ve compiled a list of the best image classification datasets. These datasets vary in scope and magnitude and can suit a variety of use cases. Furthermore, the datasets have been divided into the following categories: medical imaging, agriculture & scene recognition, and others. 17. What is Web Data Collection? Everything you need to know to automate, optimize and streamline the data collection process in your organization! 18. 14 Best Tableau Datasets for Practicing Data Visualization This article focuses on the 14 Best Tableau Datasets for Practicing Data Visualization, which is essential for business analysts and data scientists. 19. Artificial Intelligence is No Match for Natural Stupidity A Lazy Introduction to AI for Infosec. 20. How Big Data and Artificial Intelligence Will Go Hand in Hand? The emergence of technology is playing an inevitable role in business. It’s drastically transforming the way people work together in an organization. Both these technologies are revolutionizing every aspect of our life.  These technologies are creating a culture where the collaboration of IT leaders and businesses results in realizing values from all generated data. 21. 17 Open Crime Datasets for Data Science and Machine Learning Projects For those looking to analyze crime rates or trends over a specific area or time period, we have compiled a list of the 16 best crime datasets made available for public use. 22. Build Data-Driven Web App Without Backend During the last couple of decades websites' functionally has increased dramatically - from simple landing pages serving simple static ads to complex progressive web apps whose functionality close to native applications including user authorization, location tracking, bluetooth handling, and offline mode. 23. 12 Best Pre-Installed R Datasets Commonly Used for Statistical Analysis R programming is mostly used in statistical analysis and ML.
This article looks at the Best Pre-Installed R Datasets Commonly Used for Statistical Analysis. 24. MODEL-CENTRIC vs DATA-CENTRIC Approaches in Machine Learning Machine learning is an area of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way humans learn 25. The Hunt for Data: Creating a Computer Vision Dataset for Road Safety In this article, I would like to share my own experience of developing a smart camera for cyclists with an advanced computer vision algorithm 26. 13 Best Datasets for Power BI Practice In 2022, Gartner named Microsoft Power BI the Business Intelligence and Analytics Platforms leader. These are the 13 Best Datasets for Power BI Practice. 27. Encoding Categorical Data for ML Algorithms Encoding is a technique used to convert categorical data to numerical representations to be able to use the data in machine learning algorithms. 28. Things to Consider When Looking For Data Science Roles There is a great demand for data scientists presenting market dynamics that are favourable for the community. More so than your peers in other professions, you will be able to evaluate a company for what it is able to offer you, rather than solely being the one that is being evaluated. So what should you look for when comparing and evaluating data science roles? Here is a list of some commonly known factors plus some less discussed ones that will help you in your evaluation. 29. 10 Best Reddit Datasets for NLP and Other ML Projects In this post, I wanted to share a Reddit dataset list that gained a lot of traction on social media when it was first posted. 30. 10 Best Datasets for Geospatial Analytics (Open and Public Access) Scientists use geospatial analytics to build visualizations such as maps, graphs and cartograms. These are the Best Public Datasets for Geospatial Analytics. 31. How to Aid Disease Research with a Biomedical Knowledge Graph Building a biomedical knowledge graph using publicly available datasets to better aid disease research and biomedical data modelling. 32. What is Data Analytics and How It Can  Be Used WHAT IS DATA ANALYTICS? 33. Alternatives to Web Scraping with Python Is Python really the easiest and most efficient way to scrape a website? There are other options out there. Find out which one is best for you! 34. Six Ways For Effective Data Visualization With Tableau Tableau 35. 10 Best Keras Datasets for Building and Training Deep Learning Models This article looks at the Best Keras Datasets for Building and Training Deep Learning Models, accessible to developers and researchers worldwide. 36. 14 Open Datasets for Text Classification in Machine Learning Text classification datasets are used to categorize natural language texts according to content. For example, think classifying news articles by topic, or classifying book reviews based on a positive or negative response. Text classification is also helpful for language detection, organizing customer feedback, and fraud detection. Though time consuming when done manually, this process can be automated with machine learning models. The result saves companies time while also providing valuable data insights. 37. 11 Torchvision Datasets for Computer Vision You Need to Know With torchvision datasets, developers can train and test their machine learning models on a range of tasks, such as image classification and object detection. 38. Merging Datasets from Different Timescales One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales. 39. An Intro to No-Code Web Scraping Web scraping has broken the barriers of programming and can now be done in a much simpler and easier manner without using a single line of code. 40. How To Monitor a Forum for Keywords Using Python and AWS Lambda While building ScrapingBee I'm always checking different forums everyday to help people about web scraping related questions and engage with the community. 41. 8 Best Human Behaviour Datasets for Machine Learning Human behaviour describes how people interact and in this article, we will look at the 8 Best Human Behaviour Datasets for Machine Learning. 42. 20 Best PyTorch Datasets for Building Deep Learning Models PyTorch has gained a reputation as a research-focused framework, and these are the Best PyTorch Datasets for Building Deep Learning Models available today. 43. Data Set and Data Augmentation for Face Detection and Recognition When it comes to building an Artificially Intelligent (AI) application, your approach must be data first, not application first. 44. A Deep Dive Into Facebook’s AI Transcoder Just over a week, most of you would have heard that Facebooks AI research team (FAIR) developed a neural transcompiler, that converts code from high level programming language like C++, Python, Java, Cobol into another language using ‘unsupervised translation’ . The traditional approach had been to tokenize the source language and convert it into an Abstract Syntax Tree (AST) which the transcompiler would use to translate to the target language of choice, based on handwritten rules that define the translations, such that abstract or the context is not lost. 45. Las 15 preguntas más frecuentes sobre Web Scraping Previously published at https://www.octoparse.es/blog/15-preguntas-frecuentes-sobre-web-scraping 46. Is Data Catalog an Indispensable Tool for Corporate? To understand the concept of data catalog, we need an assessment of the fundamentals that constitute the process on an elementary level. At the most rudimentary stage lies the idea of arrangement and the order of things. 47. Introducing theHolopix50k Dataset for Image Super-Resolution Depth estimation and stereo image super-resolution are well-known tasks in the field of computer vision. To help researchers get high-quality training data for these tasks, industry-leading lightfield hardware provider Leia Inc. used their social media app, Holopix™, to create Holopix50k, the world’s largest “in-the-wild” stereo image dataset. 48. 7 Effective Ways to Deal With a Small Dataset In a real-world setting, you often only have a small dataset to work with. Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if available data is scarce. 49. Top 10 Best Web Scraper And Data Scraping Tools Data extraction has many forms and can be complicated. From Preventing your IP from getting banned to bypassing the captchas, to parsing the source correctly, headerless chrome for javascript rendering, data cleaning, and then generating the data in a usable format, there is a lot of effort that goes in. I have been scraping data from the web for over 8 years. We used web scraping for tracking the prices of other hotel booking vendors. So, when our competitor lowers his prices we get a notification to lower our prices to from our cron web scrapers. 50. Top 3 Face Datasets and How to Work with Them An image dataset contains specially selected digital images intended to help train, test, and evaluate an artificial intelligence (AI) or machine learning (ML) 51. 11 Best Climate Change Datasets for Data Science Projects Data is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more. Many of these datasets have been made public to allow people to contribute and add valuable insight into the way the climate is changing and its causes. 52. InfluxDB Continuous Downsampling  - Optimize Your TSDB Today Introduction 53. Top 10 Open Datasets for Linear Regression On Hacker Noon, I will be sharing some of my best-performing machine learning articles. This listicle on datasets built for regression or linear regression tasks has been upvoted many times on Reddit and reshared dozens of times on various social media platforms. I hope Hacker Noon data scientists find it useful as well! 54. Going From Data Lakes to Oceans Aggregating into data lakes is the solution of today — but are Federated Sources the solution of tomorrow? 55. How To Scrap Product Information With Python & BeautifulSoup Module From Amazon Listings [Tutorial] Intro 56. 10 Best Datasets for Time Series Analysis In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis. 57. 10 Data Table Libraries for JavaScript Tables are a useful tool for visualizing, organizing and processing data in JavaScript. To start using them, you need to download a free library or one for a reasonable price. Here is a list of 10 useful, functional, and reliable JS libraries that will help you work with tables. 58. Top 15 Chatbot Datasets for NLP Projects An effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems. 59. Machine Learning Food Datasets Collection An essential part of my company's Machine Learning team is working with different food datasets, and we spend a lot of time before for searching, combining or intersecting different datasets to get data that we need and can use in our work. Given that it might help someone else, I decided to list all helpful datasets in one place. 60. The Pain Points of Scaling Data Science While building a machine learning model, data scaling in machine learning is the most significant element through data pre-processing. Scaling may recognize the difference between a model of poor machine learning and a stronger one. 61. 5 Million Face Images for Facial Recognition Model Training This article on face recognition datasets is one of my best-performing articles I wrote originally on Lionbridge AI. I'm happy to share it with the Hacker Noon community! 62. Kannada-MNIST:A new handwritten digits dataset in ML town TLDR: 63. Here's Why We Built An Open-Source Goldmine of Crypto-Markets Datasets How to run a distributed data-mining operation to source and process crypto market data at zero cost. 64. Top 20 Twitter Datasets for Machine Learning Projects It is often very difficult for AI researchers to gather social media data for machine learning. Luckily, one free and accessible source of SNS data is Twitter. 65. Creating A Data Science Pipeline That Works Correctly An easy, automated, repeatable way to check your data science solution is doing exactly what it's designed to do. 66. 15 Excel Datasets for Data Analytics Beginners Excel is an indispensable tool for data manipulation, data visualization and statistical analysis. These are 15 Excel datasets for data analytics beginners. 67. What Is Big Data? Understanding The Business Use of Big Data Analytics Big data analytics can be applied for all and any business to boost their revenue and conversions and identify their common mistakes. 68. Gender Prediction Using Mobile App Data Сreate a model for the gender prediction based on the list of installed applications on a mobile device. 69. Towards an ImageNet Moment for Speech-to-Text: A Deep Dive Speech-to-text (STT), also known as automated-speech-recognition (ASR), has a long history and has made amazing progress over the past decade. Currently, it is often believed that only large corporations like Google,  Facebook, or Baidu (or local state-backed monopolies for the Russian language) can provide deployable “in-the-wild” solutions. 70. Build A Commission-Free Algo Trading Bot By Machine Learning Quarterly Earnings Reports [Full Guide] Introduction 71. Getting Started with Data Visualization: Building a JavaScript Scatter Plot Module Scatter plots are a great way to visualize data. Data is represented as points on a Cartesian plane where the x and y coordinate of each point represents a variable. These charts let you investigate the relationship between two variables, detect outliers in the data set as well as detect trends. They are one of the most commonly used data visualization techniques and are a must have for your data visualization arsenal! 72. 10 Best African Language  Datasets for Data Science Projects A list of African language datasets from across the web that can be used in numerous NLP tasks. 73. Introducing a Simple Module for Parsing CSV Files This Slogging thread by  and Arthur Tkachenko occurred in slogging's official #programming channel, and has been edited for readability. 74. The Rise of Reusable SQL-based Data Modeling Tools and DataOps services The resurgence of SQL-based RDBMS 75. How To Master Elasticsearch Query DSL Photo by Evgeni Tcherkasski on Unsplash Thank you for checking out the 75 most read stories about Datasets on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

75 Stories To Learn About Datasets

143 Stories To Learn About Data Visualization

Let's learn about via these 53 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Data Scraping /Learn Repo 1. How I Successfully "Reverse-Engineered" ChatGPT to Create an Unofficial API Wrapper Scraping ChatGPT with Python 2. How POST Requests with Python Make Web Scraping Easier To scrape a website, it’s common to send GET requests, but it's useful to know how to send data. In this article, we'll see how to start with POST requests. 3. AutoScraper Introduction: Fast and Light Automatic Web Scraper for Python In the last few years, web scraping has been one of my day to day and frequently needed tasks. I was wondering if I can make it smart and automatic to save lots of time. So I made AutoScraper! 4. How To Scrape Google With Python Ever since Google Web Search API deprecation in 2011, I've been searching for an alternative. I need a way to get links from Google search into my Python script. So I made my own, and here is a quick guide on scraping Google searches with requests and Beautiful Soup. 5. My Journey Building a Scraper with Ruby Last week I finished my Ruby curriculum at Microverse. So I was ready to build my Capstone Project. Which is a solo project at the end of each of the Microverse technical curriculum sections. 6. How to Scrape NLP Datasets From Youtube Too lazy to scrape nlp data yourself? In this post, I’ll show you a quick way to scrape NLP datasets using Youtube and Python. 7. How to Scrape Data From Any Website With JavaScript Learn how to scrape the web using scripts written in node.js to automate scraping data off of the website and using it for whatever purpose. 8. Playwright Vs Selenium: Comparing the Two A brief comparison between Selenium and Playwright from a web scraping perspective. Which one is the most convenient to use? 9. How Web Scraping Helps Businesses Outperform Their Competition It’s safe to say that the amount of data available on the internet nowadays is practically limitless, with much of it no more than a few clicks away. However, gaining access to the information you need sometimes involves a lot of time, money, and effort. 10. Web Scraping Using Node.js While there are a few different libraries for scraping the web with Node.js, in this tutorial, i'll be using the puppeteer library. 11. Web Scraping con Python: Guía Paso a Paso La necesidad de extraer datos de sitios web está aumentando. Cuando realizamos proyectos relacionados con datos, como el monitoreo de precios, análisis de negocios o agregador de noticias, siempre tendremos que registrar los datos de los sitios web. Sin embargo, copiar y pegar datos línea por línea ha quedado desactualizado. En este artículo, le enseñaremos cómo convertirse en un "experto" en la extracción de datos de sitios web, que consiste en hacer web scraping con python. 12. America's Secret Pager Giant Early January 2022, I spontaneously bought a pager. I looked into the US pager market, and to my surprise... 13. 8 Browser Extensions for Scraping Google Maps like a Pro These extensions for scraping Google maps can be used for a number of purposes in various situations that can be either data collection or market research. 14. How Do I Build a LinkedIn Scraper For Free? Check out this step-by-step guide on how to build your own LinkedIn scraper for free! 15. What is Web Data Collection? Everything you need to know to automate, optimize and streamline the data collection process in your organization! 16. How To Scrape Amazon, Yelp and GitHub Profiles in 30 Seconds The most talented developers in the world can be found on GitHub. What if there was an easy, fast and free way to find, rank and recruit them? I'll show you exactly how to to this in less than a minute using free tools and a process that I've hacked together to vet top tech talent at BizPayO. 17. Web Scraping con Python: Guía Paso a Paso La necesidad de extraer datos de sitios web está aumentando. Cuando realizamos proyectos relacionados con datos, como el monitoreo de precios, análisis de negocios o agregador de noticias, siempre tendremos que registrar los datos de los sitios web. Sin embargo, copiar y pegar datos línea por línea ha quedado desactualizado. En este artículo, le enseñaremos cómo convertirse en un "experto" en la extracción de datos de sitios web, que consiste en hacer web scraping con python. 18. Web Crawling vs Scraping: What's the Difference Between Crawlers and Scrapers? Learn the fundamental distinctions between web crawling and web scraping, and determine which one is right for you. 19. Where Do I Find the Right Social Media Marketing Data? As a marketer, you probably know that social media marketing is part art, part science. 20. Scraping Google Search Console Backlinks Learn how to emulate a normal user request and scrape Google Search Console data using Python and Beautiful Soup. 21. How to Use Web Scraping to Empower Marketing Decisions Learn how to leverage web scraping in marketing. In this article, we unpack use cases and tips for getting started. 22. Scraping Glassdoor Job Data Glassdoor is one of the biggest job markets in the world but can be hard to scrape. In this article, we'll legally extract job data with Python & Beautiful Soup 23. Scraping Tweet Replies with Python and Tweepy Twitter API [A Step-by-Step Guide] A Quick Method To Extract Tweets and Replies For Free 24. Las 15 preguntas más frecuentes sobre Web Scraping Previously published at https://www.octoparse.es/blog/15-preguntas-frecuentes-sobre-web-scraping 25. A Step-by-Step Guide to Building a Football Data Scraper Scraping football data (soccer in the US) is a great way to build comprehensive datasets to help create stats dashboards.  Check out our football data scraper! 26. An Intro to No-Code Web Scraping Web scraping has broken the barriers of programming and can now be done in a much simpler and easier manner without using a single line of code. 27. How is Web Crawling Used in Data Science No-Code tools for collecting data for your Data Science project 28. How to Build a Web Crawler from Scratch How often have you wanted a piece of information and have turned to Google for a quick answer? Every piece of information that we need in our daily lives can be obtained from the internet. You can extract data from the web and use it to make the most effective business decisions. This makes web scraping and crawling a powerful tool. If you want to programmatically capture specific information from a website for further processing, you need to either build or use a web scraper or a web crawler. We aim to help you build a web crawler for your own customized use. 29. How to Develop a Price Comparison Tool in Python Online Shopping for various commodities is no more a luxury but has rather become a necessity now. Getting your desired product on your doorstep has made it easier for consumers to shop effortlessly. As a result, several niche e-commerce or generic shopping sites pop up every year. This trend is not limited to some specific region rather it’s a global phenomenon now, as more and more people are preferring online shopping over visiting outlets due to traffic congestions and ease of purchasing. This is why it’s predicted that by 2021, overall 15.5% of sales will be generated via online websites. 30. PHP Web Scraping Using Goutte When you talk about web scraping, PHP is the last thing most people think about. 31. How To Monitor a Forum for Keywords Using Python and AWS Lambda While building ScrapingBee I'm always checking different forums everyday to help people about web scraping related questions and engage with the community. 32. The Evolution of Big Data And Web Scraping As the CEO of a proxy service and data scraping solutions provider, I understand completely why global data breaches that appear on news headlines at times have given web scraping a terrible reputation and why so many people feel cynical about Big Data these days. 33. How To Create A Slick iOS Widget In JavaScript With a Scriptable app, it’s possible to create a native iOS widget even with basic JavaScript knowledge. 34. Scraping Amazon using Puppeteer and Browserless An easy tutorial showcasing the power of puppeteer and browserless. Scrape Amazon.com to gather prices of specific items automatically! 35. 3 Mejores Formas de Crawl Datos desde Website La necesidad de crawling datos web ha aumentado en los últimos años. Los datos crawled se pueden usar para evaluación o predicción en diferentes campos. Aquí, me gustaría hablar sobre 3 métodos que podemos adoptar para scrape datos desde un sitio web. 36. An Intro to Web Scraping: What it is and How to Start A quick introduction to web scraping, what it is, how it works, some pros and cons, and a few tools you can use to approach it 37. Data Scraping in Node.js 101 How to gather data without those pesky databases. 38. How to Scrape Bestbuy Products with Scrapezone SDK Welcome to the new way of scraping the web. In the following guide, we will scrape BestBuy product pages, without writing any parsers, using one simple library: Scrapezone SDK. 39. A Quick Primer on Data Scraping Suppose you want to get large amounts of information from a website as quickly as possible. How can this be done? 40. A Guide to Web Scraping With JavaScript and Node.js With the massive increase in the volume of data on the Internet, this technique is becoming increasingly beneficial in retrieving information from websites and applying them for various use cases. Typically, web data extraction involves making a request to the given web page, accessing its HTML code, and parsing that code to harvest some information. Since JavaScript is excellent at manipulating the DOM (Document Object Model) inside a web browser, creating data extraction scripts in Node.js can be extremely versatile. Hence, this tutorial focuses on javascript web scraping. 41. How to Extract Knowledge from Wikipedia, Data Science Style As Data Scientists, people tend to think what they do is developing and experimenting with sophisticated and complicated algorithms, and produce state of the art results. This is largely true. It is what a data scientist is mostly proud of and the most innovative and rewarding part. But what people usually don’t see is the sweat they go through to gather, process, and massage the data that leads to the great results. That’s why you can see SQL appears on most of the data scientist position requirements. 42. How to Scrape a Medium Publication: A Python Tutorial for Beginners A while ago I was trying to perform an analysis of a Medium publication for a personal project. But getting the data was a problem – scraping only the publication’s home page does not guarantee that you get all the data you want. 43. Scraping Data With Selenium: Upwork Series #2 Hi Devs! 44. How To Scrape Amazon Using Python Scrapy Library [Tutorial] Scrapy is an application framework for crawling web sites and extracting structured/unstructured data which can be used for a wide range of applications such as data mining, information processing or historical archival.As we all know, this is the age of “Data”. Data is everywhere, and every organisation wants to work with Data and take its business to a higher level. In this scenario Scrapy plays a vital role to provide Data to these organisations so that they can use it in wide range of applications. Scrapy is not only able to scrap data from websites, but it is able to scrap data from web services. 45. Scraping Amazon Reviews using Scrapy in Python [Tutorial] Are you looking for a method of scraping Amazon reviews and do not know where to begin with? In that case, you may find this blog very useful in scraping Amazon reviews. In this blog, we will discuss scraping amazon reviews using Scrapy in python. Web scraping is a simple means of collecting data from different websites, and Scrapy is a web crawling framework in python. 46. 5 Técnicas Anti-Scraping que Puedes Encontrar Con el advenimiento de los grandes datos, las personas comienzan a obtener datos de Internet para el análisis de datos con la ayuda de rastreadores web. Hay varias formas de hacer su propio rastreador: extensiones en los navegadores, codificación de python con Beautiful Soup o Scrapy, y también herramientas de extracción de datos como Octoparse. 47. How Can The Travel Industry Benefit From Data Scraping The travel industry is a major service sector in most countries these days. It is also a major employment and revenue provider. This demands a lot of constant innovation and maintenance. The travel industry is a dynamic industry where the needs and preferences of a customer change every moment. The market players in this field need to keep up with the trends in the industry, the choices of the customers and even on the details of their own historical performance to perform better as time progresses. Thus, as you would presume, the companies working in the travel sector need a lot of data from multiple sources and a pipeline to assess and use that data for insights and recommendations. 48. The A-Z of Web Scraping in 2020 [A How-To Guide] Web data extraction or web scraping in 2020 is the only way to get desired data if owners of a web site don't grant access to their users through API. 49. How to Web Scrape Using Python, Snscrape & HarperDB Learn how  to execute web scraping on Twitter using the snsscrape Python library and store scraped data automatically in database by using HarperDB. 50. Big Data: 70 Increíbles Fuentes de Datos Gratuitas que Debes Conocer para 2020 Por favor clic el artículo original：http://www.octoparse.es/blog/70-fuentes-de-datos-gratuitas-en-2020 51. Scraping with Selenium 101: The Big Hole on Data Scientists Toolset [Part 1] Usually forgotten in all Data Science masters and courses, Web Scraping is, in my honest opinion a basic tool in the Data Scientist toolset, as is the tool for getting and therefore using external data from your organization when public databases are not available. 52. Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs In this post we are going to scrape websites to gather data via the  API World's top 300 APIs of year. The major reason of doing web scraping is it saves time and avoid manual data gathering and also allows you to have all the data in a structured form. 53. How To Build a First Strike OTM Call Options Watchlist from Cashtags wHAOR Today, We're going to build a script that scrapes Twitter to gather stock ticker symbols. We'll use those symbols to scrape yahoo finance for stock Options data. To ensure we can download all the Options data, we’ll make each web request with High Availability Onion Routing. In the end, we’ll do some Pandas magic to pull the first out of the money call contract for each symbol into the final watchlist. Thank you for checking out the 53 most read stories about Data Scraping on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

OCTOPART

octopart.com

11-50 employees

Since 2007

COMPANY RANKING

OCTOPART

EVERGREEN INDEX #7649

Representing this company? Click here to claim and customize this page!

Octopart WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!

OCTOPART

octopart.com

11-50 employees

Since 2007

COMPANY RANKING

OCTOPART

EVERGREEN INDEX #7649

RELATED COMPANIESRANK

STORIES ABOUT OCTOPART

Representing this company? Click here to claim and customize this page!

Octopart WIKI

Apply to get your Tech Company News Page live on HackerNoon.com today!