@pythonhub
PythonHub
Telegram channel @pythonhub: 2.6K subscribers, 93 views per post, score 41
- 2.6K
- Subscribers
- 93
- Median views over 30 days
- 3.5%
- Views / subscribers over 30 days
- 121
- Posts over 30 days
Data as of October 1, 2026
catalog description About the channel, by its author
Overview
Written automatically from the channel's data, updated 3 September 2026. The numbers in this text are as of that date; the fresh ones are in the tiles above.
PythonHub curates a stream of Python-related news: library releases (Django, JupyterGIS), AI-agent tooling, machine-learning setup guides, and notes on language internals — from constant declarations to reproducible PyPI builds. Many posts are short pointers to GitHub repos or outside articles rather than original writing, plus links to conference talks like EuroPython.
The channel posts a lot: 74 posts in 30 days, well above the category median of 23. Median views per post sit at 110, and ER is 4.2%, compared with a category median ER of 9.4%. Subscriber count is 2,629, far below the category median of 18,524. The listing's Place Score is 33.
Over the 18-day observation window subscribers grew by 37 and average views rose by 11 — modest but positive movement.
This fits readers who want a frequent digest of dev-world links rather than long original essays: it reads more like a news ticker than an authored blog. Against its category, the channel stands out for posting far more often while carrying a smaller, less engaged audience.
Common questions
- What is the @pythonhub channel about?
- It's a digest-style channel about Python: library releases, AI-agent tooling, ML guides, and language notes. Many posts link out to articles and GitHub repos.
- Can I advertise on PythonHub?
- The owner hasn't published a price list yet. You can reach out directly on Telegram to arrange a placement.
- How many subscribers?
- Subscribers: 2.6K. Median views per post: 93. Views per subscriber: 3.5%. Measured on October 1, 2026.
- How often are posts published?
- Posts in the last 30 days: 121 — that is several times a day. Measured on October 1, 2026.
- Does this channel have a Telegram tick?
- No Telegram tick.
- Who runs this channel page in the catalog?
- Nobody yet. If this is your channel, claim the page: you will be able to reply to reviews and see its stats.
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Hover the chart or swipe it — we show the day.
| What it is made of | |
|---|---|
| Engagement | 1.3 of 30 |
| Growth quality | 20 of 20 |
| Reactions and forwards | 6 of 15 |
| Consistency | 3.6 of 12 |
| Trust | 3.9 of 8 |
| Reviews | not enough datano reviews yet |
Score 41 — from 5 of 6 signals: the rest are not measured yet. Methodology
What the channel wrote about
From posts September 11 – 13 · written automatically
Python development tools and frameworks were covered across posts about weekly digests, agent skill libraries for scientific work, text-to-speech systems, object detection fine-tuning, and caching strategies in LLMs. The channel also discussed building AI agents from scratch in Python and Django-specific features for database migrations.
Latest posts
- superdesigndev / treg OpenRouter for agent tools. Join community here: discord.gg/6mQYYfFMAn github.com/superdesigndev/treg
- Put the Arithmetic in the Tool: an MCP Server for an AWS Waste Scanner The article shows how to add an MCP server to a Python-based AWS cost scanner so AI agents can query computed totals, breakdowns, filters, and cleanup plans without doing arithmetic themselves. It also covers JSON-RPC over stdio, read-only tool design, end-to-end testing, rounding consistency, and integration with Claude Code.
dev.to/…
https://dev.to/aws-builders/put-the-arithmetic-in-the-tool-an-mcp-server-for-an-aws-waste-scanner-3n79 - This Design Pattern Replaces an Entire Class Hierarchy This video compares three ways to model type-based variation in Python: subclasses, storing a type value such as an enum, and representing each variation as an object. Using a subscription system, it introduces the Type Object pattern and explains when each approach is the better fit.
youtube.com/…
https://www.youtube.com/watch?v=IdwdqdywNOM - DeepTeam DeepTeam is a framework to red team LLMs and AI agents.
github.com/…
https://github.com/confident-ai/deepteam - Yoo... subprocess.run actually redirects to the Python docs for subprocess.run()
reddit.com/…
https://www.reddit.com/r/Python/comments/1wp8325/yoo_httpssubprocessrun_actually_redirects_to_the/ - nonetrace: tells you where a None came from when Python crashes on it When Python crashes on None, it points at the wrong line. nonetrace shows which call returned the None, why, and the fix. pypi.org/project/nonetrace
- Kev tiny Jev-like family of decision models built on top of Qwen3.5 you can train and run on your own. github.com/jaredpalmer/kev
- ZeroModels ZeroModels is an open-source Keras 3 library of pretrained models spanning vision, language, speech, depth estimation, and multimodal tasks.
github.com/…
https://github.com/IMvision12/ZeroModels - Bad evals, my own: five exercises from two LLM judges The author uses five exercises from two real LLM judges to expose evaluation pitfalls, including inconsistent results, biased test sets, misleading metrics, and pass/fail thresholds that become unreliable as test suites grow. He shows why trustworthy evaluations require representative data, clearly defined metrics, repeated testing, and preserved run artifacts, revealing flaws in his own...
digline.dev/…
https://digline.dev/blog/bad-evals-my-own/ - PyPy v8.0.0 PyPy 8.0.0 introduces its first Python 3.12 interpreter as a beta, alongside Python 2.7 and 3.11 releases, and raises the minimum glibc requirement for Linux binaries to 2.28. The release also advances compatibility with CPython’s limited C API and abi3 wheels, improves RPython code generation, and drops HPy as a default backend, though abi3 wheel installation support is not yet complete.
pypy.org/…
https://pypy.org/posts/2026/09/pypy-v800-release.html
The channel in numbers
- Created
- March 15, 2016
- Photos
- 2.4K
- Videos
- 0
- Links
- 50.5K
Telegram data as of October 1, 2026
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