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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# PyCoder’s Weekly

**[Planet Python](https://daily.dev/sources/planetpython)** · 5 min read · 0 upvotes · 0 comments

## Summary

A curated roundup of Python news and tutorials: connecting Python scripts to a Jev model via a TypeSafe SDK and OpenRouter; how libraries embed Rust inside Python using PyO3 and maturin; creating temporary files with tempfile; two draft PEPs (849 on type expressions, 848 on generational garbage collection); PyPy v8.0.0's release; a podcast on managing AI contributions to open source with the Wagtail team; a case study on BMLL processing 1.5 TB of market data 48x faster with Polars vs pandas; a statistics tutorial using NumPy, SciPy, and pandas; EVE Online's migration from Python 2 to Python 3; an essay on immutable data structures; common beginner Python mistakes; benchmarking Meta's CinderX CPython extension against stock CPython 3.14; a comparison of Cursor vs GitHub Copilot for Python development; a Claude API tutorial; and several open-source project links including pyfastlogging, Renart, Pyxel Code Maker, flowsint, and bashautom.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://pycoders.com/issues/754>

## Questions this post answers

### How does PyO3 let you run Rust code inside a Python library?

PyO3 lets developers write Rust code, annotate it with PyO3 macros, compile and install it using maturin, then import the compiled result directly into Python. This four-step workflow is demonstrated with a hand-rolled JSON parser written in Rust and called from Python, showing how libraries embed native Rust performance behind a Python interface.

_Developers weighing Rust extensions for performance-critical Python code can track PyO3 techniques on daily.dev._

### What performance gain did BMLL get from switching from pandas to Polars?

BMLL Technologies achieved a 48x performance improvement by switching from pandas to Polars, enabling them to process 1.5 TB of nanosecond-precision market data in under 4 minutes. This speedup mattered for execution analysis at scale, where processing petabytes of trading data quickly is a competitive requirement.

_Teams evaluating Polars over pandas for large-scale data work can follow real-world benchmarks like this on daily.dev._

### Why is EVE Online migrating from Python 2 to Python 3?

EVE Online has run on Python 2 since its 2003 launch, comprising 2.4 million lines of code on a custom Stackless interpreter that stopped receiving updates at Python 3.8, and the game is now in the process of migrating to Python 3 to move past that stalled, unsupported interpreter version.

_Engineers planning a long-overdue Python 2 to 3 migration can find similar real-world case studies on daily.dev._

## Similar posts on daily.dev

- [PyCoder’s Weekly](https://daily.dev/posts/pycoder-s-weekly-eg2o8u0ws) · Planet Python · 0 upvotes · 0 comments
- [PyCoder’s Weekly](https://daily.dev/posts/pycoder-s-weekly-nxwdsx8ca) · Planet Python · 0 upvotes · 0 comments
- [Python everywhere—but are we there yet?](https://daily.dev/posts/python-everywhere-but-are-we-there-yet--3p16huqid) · InfoWorld · 0 upvotes · 0 comments
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---

Tags: [#python](https://daily.dev/tags/python), [#rust](https://daily.dev/tags/rust)

[View this post on daily.dev](https://daily.dev/posts/pycoder-s-weekly-buiyqr45e)

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