Python
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2 days agoMaking good choices: How to get the best from Python tools
Leverage Python's strengths and avoid its pitfalls to excel in AI development using tools like uv run and SQL-free chatbot libraries.
Back then, constructing decorators using function closures had various short comings and the resulting wrappers didn't preserve introspection and various other attributes associated with the wrapped function. Many of these issues have been resolved in updates to Python and the functools.wraps helper function, but wrapt based decorators were still useful for certain use cases such as being able to create a decorator where you could work out whether it was applied to a function, instance method, class method or even a class.
At the end of August, Python: The Documentary premiered on YouTube, where you can watch it for free. It's an 84-minute film tracing Python's journey from Amsterdam side project to the world's most popular programming language: Produced by CultRepo (formerly Honeypot) and directed by Ida Bechtle, the documentary explores Python's evolution and the community that shaped it. It features Guido van Rossum and key contributors like Mariatta and recent Real Python Podcast guest, Travis Oliphant. The documentary also highlights the important role of PyLadies and addresses controversial topics including the Python 2 to 3 transition.
Ready to level up your Python code optimization skills? In this quiz, you'll revisit key concepts about profiling, benchmarking, and diagnosing performance bottlenecks. You'll practice with tools like cProfile and timeit, and see how deterministic and statistical profilers differ.
Here's how [he demonstrated](https://adamj.eu/tech/2025/07/30/python-check-package-version-importlib-metadata-version/) I should be doing it instead. ```toml # pyproject.toml [project] name = "air" version = "0.25.0" # This is the source of truth for the version number ```
The termncolor package and its malicious dependency colorinal highlight the increasing sophistication of attacks targeting software repositories, enabling attackers to achieve remote code execution and system persistence.
The Python Environments extension continued to receive bug fixes and improvements as part of the controlled roll-out currently available to 20% of Stable users.
Pandas is a Python library used for data analysis and manipulation on labeled datasets. The core mission of the Pandas development team is to be the fundamental high-level building block for practical, real-world data analysis in Python. It provides tools and methods for aligning, merging, transforming, and managing data from various persistent stores, positioning itself as the definitive tool for data analysis in Python.