Check out Python’s powerful new linters and profiling tools, and learn how virtual environments can save you time and trouble.
Meta’s long-awaited Pyrefly linter is out in a 1.0 version, and the forthcoming Python 3.15 has a super-efficient sampling profiler. Plus we have a comprehensive rundown of Python’s indispensable virtual environments — and a warning about a novel breed of malware that exploits Python’s package ecosystem.
Top picks for Python readers on InfoWorld
How to use virtual environments in Python
Isolate and protect your Python projects from each other, and empower them to do more, with virtual environments and their native-to-Python tooling.
Pyrefly 1.0: A fast, forward-looking Python linter
The first full release of Meta’s long-awaited linting and type checking tool for Python delivers speed and offers advanced features for type-checking PyTorch and Django projects.
Hands-on with the new sampling profiler in Python 3.15
Among Python 3.15’s best new features is a sampling profiler, for instrumenting your code and finding its bottlenecks with a minimum of performance impact or fuss. See up-close how it works.
All about Hades, the supply-chain malware that hides in Python packages
It hides in Python packages. It replicates itself across systems. It fools LLM-based code analysis tools into ignoring it. And there may be a lot more like it to come.
More good reads and Python updates elsewhere
Python Steering Council calls for temporary pause on JIT project
The requested pause stays in place until a proper Standards Track PEP lands for the experimental JIT (just-in-time) compiler, the better to describe how the JIT will be a formal and supported part of Python.
Pyodide 314.0: Pyodide packages on PyPI
Thanks to PEP 783, Python packages built with Pyodide (Python ported to WebAssembly) can be installed straight from PyPI instead of through Pyodide — another step closer to Py-on-Wasm becoming an everyday thing.
All about that Python 3.14 garbage collection rigmarole
A new garbage collector introduced in Python 3.14 was yanked at the last minute due to reports of higher memory usage. Here’s a deep dive into what changed for the worse and why.
Are you really expected to run five type checkers now?
No, but you should keep your options open. This blog post from a Pyrefly contributor recommends choosing one of the major offerings (Mypy, Pyrefly, Pyright, ty, Zuban, etc.), but also getting to know the others too.
