Do more with Python’s new built-in async programming library

There’s lots to do in this edition of the Python Report: Do more than one thing with Python’s async. Do the math faster in Python with NumPy. Do Python in Visual Studio Code, and do it the right way with our get-started guide. And do use Python’s new structural pattern matching feature—but learn how to use it first!

Top picks for Python readers on InfoWorld

Get started with async in PythonLearn how to use asynchronous programming in Python 3.13 and higher. Get more done in less time, without the wait.

What is NumPy? Faster array and matrix math in PythonNumPy is number-crunching at scale made easy. See how this staple of Python data science works and how to make it work for you.

Get started with Python in Visual Studio CodeMicrosoft’s super popular code editor offers some of the best Python support around, from testing and debugging to formatting and linting. Our get-started guide shows how to put Python to work for you in VS Code.

How to use structural pattern matching in PythonIf you’re unsure what Python’s new “match/case” feature is, you’re not alone. Let us unravel the confusion and get you started with this powerful yet misunderstood newer feature.

More good reads and Python updates elsewhere

AtomicWriter: A Python package for atomic file system operationsGet your first look at this replacement for the now-deprecated atomicwrites project—a simple Pythonic library for ensuring “all-or-nothing” write operations to disk.

Introduction to CUDA programming for Python developersHere’s a detailed breakdown of how CUDA programming works compared to similar operations in PyTorch, from the blog for the PySpur AI Agent Builder system.

JesseSort: An experimental replacement for Python’s native sorting algorithmWritten in C++ for speed, JesseSort claims to outperform Python’s default sorting algorithm with large amounts of data (22,000 elements or more).

LaTeX alternative Typst has a new release, 0.13Data scientists take note! A sleeker, friendlier alternative to the clunkiness of LaTeX is here, and worth trying out even as it’s still evolving. And yes, you can use it with Python bindings.