String manipulation is always resource-intensive, but compiled regex in Python and Java can help keep performance issues at bay.

Take advantage of the high-level async functions in Python’s asyncio library to write more efficient Python applications.

Learn how the new asynchronous standard for Python web applications makes apps faster, more flexible, and more future-proof.

If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

A look at the benefits of using pathlib, the "object-oriented way of dealing with paths". Working with files is one of the most common things developers do. After all, you often want to read from ...

Because a thread cedes the GIL whenever it uses I/O, this means that although threads are a bad idea in CPU-bound Python programs, they're a good idea when you're dealing with I/O. But even when ...

Python recently celebrated its 30th birthday, and pioneers of the language have been reflecting on its significance as an open source project.