Tools included with the stock installation of the Python interpreter can provide you with detailed feedback about which parts of your program are slow, and offer some hints about how to speed them up.

Mypy, Pytype, Pyright, and Pyre can help you keep your type-hinted Python code bug-free. Let’s see what each of these useful tools has to offer.

Learn the best practices to improve the performance and efficiency of your Python code for data analysis tasks, such as using built-in functions, vectorization, parallelism, and code optimization.

The extension template has two parts, the extension part and language server part. The extension part is written in TypeScript, and language server part is written in Python over the pygls (Python ...

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 ...

Microsoft is continuing its push to make its developer tools relevant to data scientists. Starting today, February 15, Microsoft's light-weight Visual Studio (VS) Code editor is shipping as part ...