Articles, Reports, Books, GitHub repos & Blogs
In this new post, you will find the best Python resources we came across online during the month of November. Enjoy! 🐍
All credit goes to the original authors.
Keywords: Slides & Slides; F-strings; Python exercise; Tutorials; Reddit threads; web scrapping x stock markets.
Author: Marko Knöbl
We came across this superb collection of about 1,000 slides with easily digestible sections on various Python topics. Note. Thanks to people like Marko, the internet can continue to be a powerful and free resource for endless learning and self-development.
Python becomes the second-most popular programming language, surpassing even Java. Indeed, it is easy to learn and it seems it has become the go-to option for non-software engineers.
Author: John Whitington
John has come up with a new Python book called “Python from the Very Beginning: With 100 exercises and answers”. It’s obviously available on Amazon. 🤓
Follow the steps and Tada!, you’ve just created your very own home-made personal voice assistant. Not sure if you shoud build one, but you should definitely buy the man some coffee!
Note. Found on Reddit.
Author: Jon Fincher
It’s always a pleasure to read a blog post by this author. In this one, Jon (I’m taking the liberty to call you Jon, Jon) covers a comparison of object-oriented features and principles of Python vs Java. Note. I’ll need to go back and check my Java classes…
Author: Albert Ratajczak
If you are interested in analyzing stock markets, here is a Python package for web scraping and data analysis. It is a work in progress, but you know what? With this package, you don’t need to do it manually anymore! 🙂
A nicely written tool that will help you do some debugging as if you were living in 2035: backtrace variable changes, see every state of program execution, debug loops, etc.
We haven’t tested it yet, but we like what we read! Yeah.. and we counted 735 stars on the GitHub repo. 😁
Author: Miguel Brito
The author nailed it with this list of examples that can help you master Python’s f-strings. You can ignore the number 73 and just focus on the content! Note. Thanks Miguel.
We usually don’t post curated lists inside our curated list; it just doesn’t sound right. But this one is cool. A list of Python projects for newbies classified by web development, game development, data science, etc.
While building our main product which is focused on monitoring various engineering metrics — for Engineering Managers, Developer Experience teams — we’ve built a complementary free browser extension that can be used to inspect any Git repo on GitHub, GitLab, and Bitbucket.
You can directly download and test it out here: Git Analytics made simple.