Internet Archive Blog: The IA Client – The Swiss Army Knife of Internet Archive. “As someone who’s uploaded hundreds of thousands of items to the Internet Archive’s stacks and who has probably done a few million transactions with the materials over the years, I just ‘know’ about the Internet Archive python client, and if you’re someone who wants to interact with the site as a power user (or were looking for an excuse to), it’ll help you to know about it too.”
Code (Love): 49 Essential Resources To Learn Python. “Hi, I’m Roger, and I’m a self-taught data analyst/scientist (but only on my good days). I spent a lot of time thinking about Python — and here’s a compilation of resources that helped me learn Python.” Decent annotation, especially for such a big list!
Analytics India: 5 Popular Python Open-Source IDEs For Data Science Enthusiasts. “Integrated Development Environment (IDE) is the daily-used coding tool for a programmer which enables a complete set for Source Code Editor as well as debugging featured building tool. Over the last few years, Python has emerged as one of the most used languages by the programmers, thanks to its high versatility and developer community. In this article, we list down 5 top Python IDEs to choose from for data science enthusiasts.”
MakeUseOf: How to Build Twitter, Instagram, and Reddit Bots Using Python. “It’s 2019. You’ve heard of bots. There are chat bots, email bots, web scraping bots, and, social media bots. Have you created a bot yet? It’s surprisingly easy. Probably why they’re all over the place. Embrace our bot overlords by joining their rank. In this article, I’ll show you how you can leverage Python to interact with your Twitter, Reddit, and Instagram accounts automatically.”
MakeUseOf: What Is Web Scraping? How to Collect Data From Websites. “Think of a type of data and you can probably collect it by scraping the web. Real estate listings, sports data, email addresses of businesses in your area, and even the lyrics from your favorite artist can all be sought out and saved by writing a small script.” This article has a couple of good examples, but it’s mostly an overview (this is not meant as a criticism; it’s an incredibly broad topic that nobody could cover in one article!)
Technotification: Best Python Tools For Machine Learning And Data Science. “… when it comes to Data Science, Python has packages that are rooted specifically for data science job. SciPy, NumPy, and pandas facilitate data analysis and can be easily integrated with web apps. It can include statistical code in production database if needed. And at last, it is an open-source programming language having a lot of resources and high-quality documentation and active community of developers willing to provide advice and assistance through all stages of the development process.”
TechXplore: Researchers compile a new database of executable Python code snippets on GitHub. “A team of researchers at North Carolina State University has recently carried out an empirical analysis of the executable status of Python code snippets shared on GitHub. Their study, pre-published on arXiv, also presents Gistable, a new database of executable Python code snippets on GitHub’s gist system, which could enable reproducible studies in the field of software engineering.”