Search Results: Python

At EmacsConf 2025, developer Scott Zimmermann unveiled Swanky—an Emacs-based Python environment inspired by Lisp's SLIME. The tool enables real-time code inspection and debugging without restarting processes, promising to transform Python development workflows with Lisp-like interactivity.

PyOxy introduces a radical method for Python distribution by embedding all runtime components within a single executable, eliminating dependency on temporary files or virtual filesystems. Built with Rust and leveraging PyOxidizer components, it grants developers unprecedented control over Python interpreter execution. This innovation could streamline deployment workflows and transform how Python applications are packaged.

Core Python developers Emma Smith and Kirill Podoprigora have proposed incorporating Rust into CPython to boost memory safety and performance, starting with optional standard library modules like base64. Amid community debates on timelines, portability, and build complexity, the plan has been scaled back for a gradual rollout, reflecting Python's cautious evolution. This move could revitalize contributions while addressing long-standing C-related challenges in the interpreter.

As Python's popularity surges, the quest for comprehensive static analysis intensifies. Two innovative projects—mypy-pure and mypy-raise—are extending static type checking into purity and exception handling, addressing critical gaps in Python's reliability toolkit.

A proposal to weave the memory‑safe, thread‑safe language Rust into CPython’s core promises a dramatic reduction in crashes and security holes while opening the door to high‑performance extensions. The plan starts with optional Rust modules and envisions a future where Rust becomes a required dependency, reshaping how the interpreter is built and maintained.

Python’s pyproject.toml finally gets a dedicated slot for dev‑time packages with the acceptance of PEP 735. The new dependency groups let tools like uv and developers such as Simon Willison separate build‑time and test‑time requirements cleanly, improving reproducibility and easing collaboration.