Channel
@python3learning
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
22,935subscribers
-139 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001173992402 |
|---|---|
| Type | Channel |
| Username | @python3learning |
| Description | Learn python🔥 |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 22 August 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 22 August 2026 |
| On Telegram | t.me/python3learning |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 22 Aug 2026, 04:25 | 22,935 | -11 |
| 20 Aug 2026, 22:57 | 22,946 | -4 |
| 19 Aug 2026, 20:03 | 22,950 | -6 |
| 18 Aug 2026, 18:08 | 22,956 | -14 |
| 17 Aug 2026, 20:14 | 22,970 | -18 |
| 16 Aug 2026, 15:36 | 22,988 | -16 |
| 14 Aug 2026, 23:48 | 23,004 | -17 |
| 13 Aug 2026, 12:27 | 23,021 | -9 |
| 12 Aug 2026, 08:52 | 23,030 | -11 |
| 11 Aug 2026, 09:18 | 23,041 | -9 |
| 10 Aug 2026, 10:52 | 23,050 | -9 |
| 9 Aug 2026, 08:41 | 23,059 | -4 |
| 8 Aug 2026, 05:28 | 23,063 | -11 |
| 7 Aug 2026, 10:00 | 23,074 | no change |
| 7 Aug 2026, 09:59 | 23,074 | first reading |
20 posts held, back to 2 November 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 35 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 12 June 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
105 reactions across 14 posts, in 3 distinct kinds. The most used accounts for 96.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 101 | 96.2% | |
| 👍 | 3 | 2.86% | |
| 🔥 | 1 | 0.952% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 16 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 105reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 November 2025 to 12 June 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🐍 Python 3.15 Changed More Than I Expected I've been writing Python for years, and this release surprised me. 🔥 Faster performance 🔥 Better error messages 🔥 Cleaner syntax improvements 🔥 Developer experience upgrades Most developers haven't noticed these changes yet. Follow now👇 https://medium.com/@vaishnavi.singh0324/python-3-15-changed-more-than-i-expected-and-ive-been-writing-python-for-8-years-a10af41bc6e4
❤8
I Built an AI Agent in Python in Under 30 Minutes — Here’s Exactly How 👇 https://medium.com/ai-in-plain-english/i-built-an-ai-agent-in-python-in-under-30-minutes-heres-exactly-how-61196d2ab097
I Tested 5 Python ORMs. One Replaced SQLAlchemy Completely. 👇 https://medium.com/@atharvjaiswal56/i-tested-5-python-orms-one-replaced-sqlalchemy-completely-ca195b012d3b
I Tested 4 RAG Architectures. One Survived Production 👇 https://medium.com/ai-in-plain-english/i-tested-4-rag-architectures-one-survived-production-181f1a1111a6
💻 AI Code Lab on Instagram 💻 🔥 Daily drops for developers leveling up with AI 📌 What you'll get: ✅ AI coding tricks & shortcuts ✅ Code snippets that actually work ✅ Tools to build faster with AI ✅ No fluff, just dev value 👉 Follow now: https://www.instagram.com/aicodelab_?igsh=MWdrd2h5bjh5cm5ocQ== #coding #ai #programming #developers #webdev #ai_tools
🚀 Python Developers, This Changes Everything! uv is replacing pip, venv, and even Poetry ⚡ Super fast package installs, virtual environments, and dependency management — all in ONE tool. ✅ 100x Faster Installs ✅ Simple Commands ✅ Better Developer Experience ✅ Perfect for Python Beginners & Pros I wrote a detailed Medium article explaining everything in easy words 👇 👉 https://medium.com/@atharvjaiswal56/uv-replace…
❤6
Python Projects with Source Code for Final Year FREE SOURCE CODE LINK 🔗 https://inprogrammer.com/python-projects-with-source-code-for-final-year/
❤6
Hey everyone! Just launched a new Instagram page https://www.instagram.com/aicodelab_?igsh=d2o3MWFpYXJpdW1o where I’ll be sharing: • Latest AI tools, trends & use-cases 🤖 • Clean code tips & best practices • Short reels on programming concepts & productivity • Real-world AI + coding project ideas If you enjoy my tech content here on Telegram, you’ll love the bite-sized visual content there. 👉 Follow now: https://www.…
❤8
🚀 Assignment & Software Development Services 🚀 Struggling with college assignments or software projects? I provide reliable, on-time, and high-quality solutions for students and professionals. ✅ College & University Assignments ✅ Mini & Major Projects ✅ Web & Software Development ✅ Programming Help (C, C++, Python, Java, JavaScript, PHP, etc.) ✅ Clean Code + Proper Documentation ✅ 100% Original Work 💯 Affordable p…
❤8
Top 50 Data Analyst Interview Questions (2025) 🎯📊 1. What does a data analyst do? 2. Difference between data analyst, data scientist, and data engineer. 3. What are the key skills every data analyst must have? 4. Explain the data analysis process. 5. What is data wrangling or data cleaning? 6. How do you handle missing values? 7. What is the difference between structured and unstructured data? 8. How do you remove d…
❤8
🎯 Free AI/ML Courses for Beginners 👇 1/ Free AI Courses (Great Learning) https://www.mygreatlearning.com/ai/free-courses?utm_source=chatgpt.com 2/ AI Essentials (Google) https://grow.google/ai-essentials/?utm_source=chatgpt.com 3/ AI for Beginners Curriculum (Microsoft) https://microsoft.github.io/AI-For-Beginners/?utm_source=chatgpt.com 4/ Machine Learning Crash Course (Google) https://developers.google.com/mach…
❤7
💡 25 VS Code Extensions Every Dev Should Try 💻 ✅ Prettier ✅ ESLint ✅ Live Server ✅ GitLens ✅ Auto Rename Tag ✅ IntelliCode ✅ Thunder Client ✅ Material Icon Theme ✅ Bracket Pair Colorizer ✅ REST Client ✅ Tailwind CSS IntelliSense ✅ Better Comments ✅ Path Intellisense ✅ Error Lens ✅ Code Spell Checker ✅ Docker ✅ Remote SSH ✅ Tabnine ✅ Import Cost ✅ Markdown All in One ✅ Color Highlight ✅ CodeSnap ✅ TODO Highlight ✅ In…
❤16
Showing the 12 most recent of 20 posts we hold for @python3learning. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 22 August 2026 — this entry's latest reading, not the date you are reading this.
“Python learning” (@python3learning), 22,935 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/python3learning.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.