Don't test your code? pytest removes any excuses. Software developers don't just write software; they also use software. So, they're the first to recognize, and understand, that software is complex ...

Use NumPy's RNG to make random arrays for quick testing of stats functions. Generate normal data and set mean/std by adding and scaling; visualize with Seaborn. Run regressions and correlations ...

In the last post introducing Python, I demonstrated how to make a simple app using variables and conditional statements. In order to do anything really powerful in a given programming language though, ...

Turn Excel into a lightweight data-science tool for cleaning datasets, standardizing dates, visualizing clusters, and ...

All in all, your first RESTful API in Python is about piecing together clear endpoints, matching them with the right HTTP ...

If you want to write Python code that takes advantage of the language's newest and most powerful features, here are four areas to explore. Although Python had its 30-year anniversary in 2021, the ...

Overview Python is the programming language that forms the foundation of web development, data science, automation, and ...

Testing functions isn't hard, but how do you test user input and output? In my last article, I started looking at "pytest", a framework for testing Python programs that's really changed the way I look ...