Welcome to the Python Trending Weekly, a weekly newsletter about Python, AI and general programming techniques, with the majority links in English and a small portion in Chinese.
The original version of the weekly was written in Chinese. What you are reading here is mostly translated by LLMs.
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I introduced Ruff, the fastest code analysis tool, in April this year, and found that it is not limited to the positioning of Linter, but also provides some Formatter functions. Now, it has released a major update and officially become the fastest Python code formatter, which is more than 30 times faster than Black and 100 times faster than YAPF!
Python 3.12 is out, and you are eager to upgrade. Is now the best time to make the jump to 3.12? The article suggests that you wait until December for the 3.12.1 bug-fix release because the new version has these issues: incompatible packages, missing binary packages, and every major release has a bunch of issues that need to be fixed.
The author believes that Python 3.12 is more significant to Python than 3.5's "async/await" and 3.6's "Type Hint"! The author mainly analyzes three aspects of improvement: observability brought by PEP-669, performance improvement brought by PEP-684 for non-GIL, and the new C API in PEP-697 that ensures compatibility across versions.
The author provides two suggestions: do not use pip and requirements.txt to manage Python dependencies, and recommends using Poetry instead. The main problems with pip are the lack of a lockfile and the hassle of manually managing virtual environments. In addition to Poetry, the author also mentions Hatch and PDM.
Django provides a default admin interface, Django Admin, whose UI hasn't changed in many years and looks outdated. Why don't Django maintainers improve it? The author found out its history and the reasons for such design by interviewing several maintainers. The main point is that Django Admin is for internal administrators and shouldn't be exposed to end users.
A long article by the author of PyOxidizer, who encountered an issue where python setup.py in CI failed with setuptools import errors when using Python 3.12 for another library. The author went through a complex and time-consuming process to find a solution, highlighting the confusing state of Python's packaging ecosystem.
Ptpython is a feature-rich and user-friendly Python REPL, and this is a very detailed tutorial on how to use it. The highlighted features include history, input validation, autocompletion, automatic indentation handling, customizing the interactive shell, embedding ptpython in scripts, and more.
While test coverage is important, it is not a silver bullet. This article demonstrates the shortcomings of test coverage with examples and briefly introduces how to do property-based testing with Hypothesis.
Is it difficult to write an asynchronous ASGI web framework from scratch? What knowledge do you need to know, what functions do you need to implement, and what problems do you need to think about? This step-by-step tutorial is a great learning material, allowing you to understand web framework design, asynchronous programming, functional encapsulation, and project management.
It is a security requirement not to print plaintext passwords in logs, but there are too many possible scenarios where passwords may be printed. How can plaintext passwords be hidden efficiently? This article introduces two implementation schemes based on the logging module: a custom filter and a custom formatter, which use specific rules to filter plaintext passwords.
A monorepo is a code repository that stores all projects, possibly containing different languages and frameworks. This means that its dependency management and CI/CD are different from those of ordinary code repositories. This article introduces how to use GitHub Actions as a CI/CD tool to build a simple Python monorepo.
We are used to calling Python an interpreted language because it interprets and executes code line by line at runtime. Many people also know that Python actually has a compilation process, and the interpreter compiles before executing. However, the author does not stop there. Through Socratic dialogue and several rounds of experiments, he leads readers to rethink "interpretation" and "compilation": they are false dichotomies that limit the possibilities of programming languages. Python is both an interpreted and a compiled language!
🎁 Python Trending Weekly 🎁 organizes its content into seasons, with every 30 issues forming a season. The highlights from the first season have been compiled for your convenience. You can access them online here (Chinese).
A JavaScript/Python/PHP/C# library for cryptocurrency trading with support for many Bitcoin/Ethereum/Altcoin exchange markets and merchant APIs. (star 29.5K)
This project is a demo project for DjangoCon US 2023, showing a minimal Django application in a single file with less than 10 lines of code.
A ready-to-use web framework built on top of Starlette and Pydantic for building modern scalable API applications, supporting both synchronous and asynchronous, providing features like DAO, ORM, ODM, dependency injection, permission management, etc.
An interesting project that includes a series of challenges from beginner to advanced levels, allowing you to practice using type hints online.
Generates OpenAPI http server, built-in Prometheus metrics, provides structured logging, supports multiple language code generation.
A state-of-the-art Python deobfuscator designed for malware analysts and reverse engineers, featuring a beautiful UI and a bunch of advanced features.
A very, very extensive list of public APIs, covering pretty much everything under the sun. (2k stars)
FunASR is an open-source speech recognition toolkit developed by Alibaba DAMO Academy. It provides a range of functionalities, including automatic speech recognition (ASR), voice activity detection (VAD), punctuation restoration, language modeling, speaker verification, speaker separation, and multi-party conversation speech recognition. (1.2K stars)
Supports downloading Xiaohongshu images and videos in batches, with a mechanism for ensuring the integrity of the downloaded files.
Uses a simple Python script, automated with GitHub workflow, to call the OpenAI API to generate summaries for RSS feeds, then pushes the newly generated RSS feed to GitHub Pages. Easy and quick to set up, no server required.
Checks source code for misspelled words, supports multiple running modes, can specify ignored words and files, and can be used for pre-commit. (1.5K stars)
With 7 billion parameters, trained on 500 billion tokens, and a context window length of 8192, CodeShell achieves state-of-the-art performance on authoritative code evaluation benchmarks. (1.2K stars)
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