Top picks for Python readers on InfoWorld

How to manage Python projects with Poetry
Elegantly manage Python virtual environments and project requirements. Poetry gives Python all-in-one management controls akin to what you might enjoy with Go and Rust.

Databot: AI-assisted data analysis in R or Python
Want your LLM to act more like a partner than a tool? Databot prompts you with questions to ask about your dataset, then generates the code you need to find the answers.

PyApp: An easy way to package Python apps as executables
A Rust-based solution to a common Python programming need: How to make a Python program into a click-to-run redistributable. (Note: Some assembly required; Rust compiler not included.)

Hands-on with Python 3.14’s live debugging interface
Python 3.14 exposes powerful new debugging features, like the ability to attach a debugger to any running Python program with no changes to its source.

More good reads and Python updates elsewhere

Python’s cffi reaches version 2.0
One of the most convenient and popular libraries for calling into the world of C from Python just got a major revision—and now works with the free-threaded builds of Python for even more future-proofing.

Writing a C compiler in 500 lines of Python
Can you build DOOM with it? Probably not. Can you learn a lot about how compilers work with it? Very likely.

nvmath-python: NVIDIA math libraries for the Python ecosystem
Want the most unfettered access you can get in Python to math libraries powered by NVIDIA’s GPUs? This library lets you do accelerated math with GPUs a la CuPy and other libraries, but also lets you twiddle low-level performance knobs those libraries don’t expose well, or at all.

Unlocking performance in Python’s free-threaded future: GC optimizations
How folks at Quansight Labs contributed optimizations to Python’s garbage collector for Python 3.14 and beyond, to better prepare Python for a free-threaded future.

Just for fun: A poem that every Python developer should know
Take a minute to read The Zen of Python by Tim Peters. You can click the link if you want some history with your poetry, read the PEP itself, or just type import this to view it directly in the Python interpreter.