New data science tools and state-of-the-art models make a splash on a daily basis, but Python, for all its frequently cited shortcomings (speed, anyone?), remains one of the main unifiers of data and ML practitioners around the world. Scroll down the TDS homepage on any given day, and you’ll find it impossible to contest the programming language’s ubiquity and versatility.
To help you discover libraries, use cases, and optimization techniques you might not be familiar with yet, we’ve gathered a selection of recent Python-focused tutorials we found particularly well executed. They cover a lot of ground, so regardless of your role or background, you’re likely to find a new topic or workflow to explore. Happy learning!