Learn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without the wait. NumPy is number-crunching at scale made easy. See how this staple of Python data ...

This book shows how to level up from writing Python code to designing Python applications. Ronald Mak provides intuitive “before” and “after” examples of improved code, so readers can learn to plan ...

Plus, Python’s new, standardized dependency lockfile format is here. And if you’re a fan of Zig for speed and Python for convenience, we show how to make both languages live in harmony. Top picks for ...

Looking to get into statistical programming but lack industry experience? We spoke with several statistical programmers from diverse backgrounds, and one thing became clear—there’s no single path to ...

Study reveals reveals 505× token overhead in AI code repair, raising questions about the cost and efficiency of ...

Harvard's free programming classes teach you how to think, debug, and adapt in an AI-driven world where knowing code matters more than ever. In a time when AIs are writing code (and eating human ...

For decades, if you wanted to do heavy data lifting in Excel, your options were nested formulas, VBA macros, or a trip into the Power Query Editor. But with Python now accessible directly from Excel ...

If you ever used a computer in the '70s, '80s, and '90s, your first foray into programming was most likely with BASIC. Here are the reasons why Python has taken its place as the language of choice for ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...