Python Trending Weekly: a curated Python newsletter behind a paywall

A newsletter, not a package

This repository is the published archive of Python Trending Weekly, produced by Python Cat. The README describes it as curating over 400 Chinese and English information sources to surface articles, tutorials, open source projects, software tools, podcasts, videos and trending topics.

It is worth stating plainly at the start: there is nothing to install. The repository holds markdown files under docs/, a landing page directory, resources and README files in English and Chinese. The value is the curation and the archive, and the medium is a weekly issue rather than a library.

The stated vision in the README is to help readers improve their Python skills and increase their career and side income, which is a more commercial framing than most community newsletters use, and it is consistent with the fact that the newsletter is now paid.

The site is at weekly.pythoncat.top, and the README links Telegram, WeChat and Twitter channels alongside the GitHub repository. Contributions come through GitHub issues, where readers can recommend articles, projects, resources or information sources, including their own.

How each issue is assembled

The README is specific about the format and the method, and both differ from a link aggregator.

The shape is fixed: each issue features 12 selected technical articles plus 12 open source projects, supplemented with multimedia resources and trending discussions. The past issues list confirms the consistency, with nearly every entry reading 12 articles and 12 projects, and the occasional deviation such as issue 158 with 11 articles or issue 153 with 14 projects.

The method is described as AI powered plus human curated. The README says AI technology aggregates the information streams efficiently while human editors apply standards to ensure each recommendation has learning value. That division is the honest one for this kind of work: machines handle volume, people handle judgement.

Every item carries a written summary and editorial comment rather than a bare link, which the README calls in-depth content analysis, plus supplementary material. There is also visual highlighting for open source projects above 1000 stars, so popular projects are identifiable at a glance.

Sources span official documentation, technical blogs, open source communities and academic publications across both language ecosystems.

How to read it

There is no install step, so getting it is a matter of choosing a channel. The README points at the official site at weekly.pythoncat.top as the primary destination, with an English path at weekly.pythoncat.top/en.

For delivery there is a Telegram channel, the README links t.me/pythontrendingweekly, and the project also lists WeChat and Twitter. The GitHub repository publishes each issue as a markdown file under docs/en/ with a filename following the issue date, so reading the archive directly is possible without subscribing to anything.

That last route is the one worth knowing about. Issue 167, titled A Python Interpreter in 1024 Bytes, is at docs/en/2026-09-12-weekly.md, and each earlier issue follows the same pattern. Reading the repository gives you the headlines and the summaries, and the paid channel is how the current issues reach subscribers.

If you want to contribute rather than read, the README directs you to open an issue with the article, project or source you want to recommend.

The paywall and what stays free

The README states that starting from issue 47 the newsletter moved to a paid model, and links to a blog post explaining the reasoning. The single subscription option listed is Patreon.

There is a stated path back to free access: as more issues are published, earlier content is gradually made freely available, with the rule given as issue n+50 becoming free. So the archive is not entirely closed, it is delayed, and the delay is fifty issues, which at weekly cadence is roughly a year.

That is a reasonable model for a curated publication and it does change how you should use this repository. The recent issues you see listed in the README are the ones behind the subscription. The older ones are open.

For a reader deciding whether to pay, the archive is the sample. Read a few older issues at weekly.pythoncat.top and judge whether the selection matches what you would otherwise have missed.

The archive as a research tool

The README publishes cumulative statistics: 167 total issues, 2022 articles, 1949 projects, 136 audio and video items, 57 hot topics and 98 books. For a newsletter that is a substantial corpus, and because each issue is a dated markdown file, it works as a chronological index of what the Python community was paying attention to.

The recent issue titles show the range. They cover CPython internals such as the JIT compiler roadmap and its temporary suspension, language changes including Python 3.15 preview and PEP 841, ecosystem news such as Pydantic taking over httpx and Mojo becoming open source, conference recaps from PyCon US 2026, and applied pieces on running Numba in the browser or using LLMs to find C-extension bugs.

That mix is the argument for reading it. A single issue is a snapshot; the archive lets you trace a topic, so you can follow the CPython JIT story across the issues that mention it rather than reading about it once.

The repository also has a release containing first-season data and an ebook covering issues 1 to 30, with per-issue and per-category statistics and a word cloud.

What the repository does not offer

Two things are missing and both matter if you plan to use the content rather than read it.

The repository reports no licence. There is no LICENSE file in the root listing, so reusing the summaries, translations or curated selections is not something the repository grants permission for. A newsletter archive is a copyrighted work, and the curation is the product being sold, so this is not an oversight to exploit.

There is also no structured feed mentioned in the README. Reading is through the site, the Telegram channel or the markdown files, and there is no documented API or JSON index of the corpus, so anything beyond reading means parsing markdown yourself.

And the curation is one editor's judgement. The README's own framing, helping readers increase career and side income, signals an orientation towards practical and career-relevant material over academic or deeply theoretical work.

PyCoder's Weekly as the alternative

The obvious comparison is PyCoder's Weekly, a long-running free English-language Python newsletter, and the difference is language coverage and the business model.

PyCoder's Weekly is free, arrives by email, and draws primarily on the English-language Python community: blog posts, release announcements, tutorials and tools. It carries fewer curated items per issue than the twelve plus twelve here, and it does not attempt the Chinese-language ecosystem at all.

This newsletter's distinguishing feature is that bilingual sourcing. The README's claim of over 400 Chinese and English sources is the part no English-language newsletter covers, and for a reader who wants both, that is the reason to pick it.

The trade is cost and format. One is free and email-delivered with a narrower source base; the other is paid from issue 47, has a fifty-issue delay before free access, and covers two language communities with consistent volume. If you read only English sources, the free option is likely enough. If you want the Chinese Python community covered alongside it, this is one of the few publications doing that.

Upkeep and cadence

The last push to the repository was on 2026-09-12, matching issue 167 dated the same day, so publication is current and weekly.

Maintenance here means editorial consistency rather than code. The README's past issues list shows a run from issue 145 in April 2026 through issue 167 in September 2026 at a roughly weekly interval, with occasional gaps, and the per-issue counts holding near twelve articles and twelve projects throughout. That regularity is the deliverable.

The repository carries no tests, no build and no dependencies, which is appropriate. The only release is the first-season data and ebook from 2024-07-10, so releases are not how this project tracks its output.

For a reader the risk is not technical. It is whether the paid tier continues and whether the fifty-issue free window is honoured as the archive grows, both of which depend on the publication continuing rather than on anything in the repository.

Editorial conclusion

Follow Python Trending Weekly if you want a curated view of the Python ecosystem that covers Chinese and English sources in one place, at a consistent twelve articles and twelve projects per issue, and you are willing to pay a Patreon subscription for current issues. Use the free archive if you mostly want to look backwards: issue n+50 becomes free, and the 167 issues in docs/en/ are readable as a dated index of what the community cared about. Skip it if you only read English sources, where a free newsletter such as PyCoder's Weekly covers the same ground without a subscription. Do not plan to reuse the content, because the repository reports no licence and the curation is what is being sold. Check weekly.pythoncat.top and read two older issues before subscribing.

Frequently asked questions

Official sources

1. chinesehuazhou/python-weekly on GitHub
2. Issues
3. Project website
4. README
5. Releases