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fromEfficient Coder
1 day ago
Python

A Pythonista's Guide to the 2026 Code Rush | EfficientCoder

Python remains dominant in AI and data, but needs companion languages for high-performance and scalable systems as efficiency demands rise.
fromThe JetBrains Blog
6 months ago
Cooking

Faster Python: Concurrency in async/await and threading | The PyCharm Blog

The difference between async/await and multithreading in Python primarily relates to how they manage concurrent task execution under the GIL.
Python
fromPythonbytes
1 month ago

Gilded Python and Beyond

Cyclopts replaces Typer's proxy-default CLI design with annotations to fix usability issues, while Python 3.14's free-threaded interpreter reduces GIL-related penalties to about 5–10%.
Web development
fromThe JetBrains Blog
1 month ago

Why Performance Matters in Python Development | The PyCharm Blog

Python's interpreted execution and the GIL cause performance bottlenecks; applying proven optimization techniques improves speed, scalability, and resource efficiency.
fromQuansight
3 months ago

Scaling asyncio on Free-Threaded Python

The Python standard library provides the asyncio module to facilitate writing high-performance concurrent code. By leveraging async/await syntax, it provides a high level API for creating and managing event loops, coroutines, tasks, and performing asynchronous I/O operations. It is used as a foundation for Python asynchronous frameworks that provide high-performance network and web-servers, database connection libraries, distributed task queues, etc. Multiple libraries and frameworks, such as FastAPI and aiohttp, are built on top of asyncio.
Software development
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