If there’s one thing that makes Python incredibly successful, that would be its readability. Everything else hinges on that: if code is unreadable, it’s hard to maintain. It’s also not ...

Still using Excel for your data analysis? Learn how to leverage Python so you can work with larger datasets and automate repetitive tasks. Learning to code, whether with Python, JavaScript, or another ...

This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...

Python trades runtime speed for programmer convenience, and most of the time it’s a good tradeoff. One doesn’t typically need the raw speed of C for most workaday applications. And when you need to ...

Learn how Mypy's type checking works with functions and generators. In my last two articles I've described some of the ways Mypy, a type checker for Python, can help identify potential problems with ...

Python is incredibly popular because it's easy to learn, versatile, and has thousands of useful libraries for data science. But one thing it is not is fast. That's about to change in Python 3.11, ...