Channel
@pythondevelopersindia
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
63,177subscribers
+50 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001531635981 |
|---|---|
| Type | Channel |
| Username | @pythondevelopersindia |
| Description | Perfect channel to learn Python Programming 🇮🇳 Download Free Books & Courses to master Python Programming - ✅ Free Courses - ✅ Projects - ✅ Pdfs - ✅ Bootcamps - ✅ Notes Admin: @Coderfun |
| Created | Between 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/pythondevelopersindia |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 06:07 | 63,177 | +12 |
| 11 Aug 2026, 03:23 | 63,165 | +34 |
| 10 Aug 2026, 02:31 | 63,131 | +7 |
| 9 Aug 2026, 05:02 | 63,124 | -4 |
| 8 Aug 2026, 02:08 | 63,128 | +7 |
| 6 Aug 2026, 23:40 | 63,121 | -6 |
| 6 Aug 2026, 14:46 | 63,127 | first reading |
20 posts held, back to 22 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 10 August 2026 |
|---|---|
| Posts held | 20 (22 June 2026 – 10 August 2026) |
| Views total | 42,840 |
| Reactions total | 102 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 19:16 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 12 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.
201 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 85.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 171 | 85.1% | |
| 🔥 | 18 | 8.96% | |
| 👍 | 10 | 4.98% | |
| 🎄 | 1 | 0.498% | |
| 😢 | 1 | 0.498% |
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 20 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 201reactions 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 22 June 2026 to 10 August 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.
Today, lets understand Machine Learning in simplest way possible What is Machine Learning? Think of it like this: Machine Learning is when you teach a computer to learn from data, so it can make decisions or predictions without being told exactly what to do step-by-step. Real-Life Example: Let’s say you want to teach a kid how to recognize a dog. You show the kid a bunch of pictures of dogs. The kid starts notic…
❤7
🚨 BREAKING: PW Skills x Microsoft just launched The Complete Live Gen AI Engineering Program Generative AI isn't the future anymore, it's the present. And now you can master it live, with Microsoft's backing behind you. Learn Agentic AI, LLMOps & real-world AI Development, taught through live interactive classes, in Hinglish, over a structured 5-month journey. 🎓 Bonus: Includes a Premium Microsoft Module, added cr…
❤5
Google Free Certificate Courses — No Fees, No Experience Needed Google offers genuinely free certificate courses across three platforms: Digital Garage, Skillshop, and Cloud Skills Boost. Who can apply: • Anyone with a Gmail account, no fixed eligibility criteria • No prior experience or technical background required • Open globally, including India What you get: • Google Digital Garage: Free courses on digi…
❤4
⏳ Your Python already clears half the bar. The other half is a 60-min aptitude test - tomorrow. Certification in AI & ML - Vishlesan i-Hub, IIT Patna ML → PyTorch → LLMs, RAG & Agents → Docker deployment ₹99 · Sunday · one attempt 🔗 https://tinyurl.com/DS-29JUL-009
❤9
✅ Python Exception Handling! 🐍✨ Exception handling allows your program to handle errors gracefully instead of crashing unexpectedly. num = 10 print(num / 0) ❌ Output → ZeroDivisionError 💡 Without exception handling, the program stops immediately when an error occurs. 1. Basic Syntax: › Use try and except to handle errors. try: num = 10 / 0 except ZeroDivisionError: print("Cannot divide by zero") ✔ Ou…
❤13
You already know Python. That’s 20% of an AI career. Here’s the other 80%. ML with Scikit-learn & XGBoost → Deep Learning with PyTorch → LLMs, RAG & AI Agents → Deployment with Docker. That’s the exact roadmap of the Certification in AI & ML - Vishlesan i-Hub, IIT Patna. ✅ 9 Months | Online | IIT faculty & industry mentors ✅ Ship deployed projects: churn predictor, image classifier + capstone ✅ Placement suppor…
❤5
Last 6 Hours Remaining! Before the application closes for E&ICT IIT Roorkee AI & ML Program. Don't miss out on the chance to: • Learn live from IIT professors & industry experts • Build real AI projects • Get Placement Support from Masai. Register NOW
❤4
You already know Python. Now learn how companies actually use it for AI. Applications are open for TiHAN IIT Hyderabad's AI & ML Program. ✅ Learn from TiHAN scientists, IIT professors & industry experts ✅ Build projects from Flipkart & Mamaearth ✅ Assured interview at TiHAN IIT Hyderabad with 9+ CGPA ✅ Placement support across 5000+ companies through Masai 🗓 Entrance Exam: 19th July 🔗 Register: https://tinyurl.c…
❤5
List of Python Project Ideas💡👨🏻💻🐍 - Beginner Projects 🔹 Calculator 🔹 To-Do List 🔹 Number Guessing Game 🔹 Basic Web Scraper 🔹 Password Generator 🔹 Flashcard Quizzer 🔹 Simple Chatbot 🔹 Weather App 🔹 Unit Converter 🔹 Rock-Paper-Scissors Game Intermediate Projects 🔸 Personal Diary 🔸 Web Scraping Tool 🔸 Expense Tracker 🔸 Flask Blog 🔸 Image Gallery 🔸 Chat Application 🔸 API Wrapper 🔸 Markdown to HTML Converter 🔸 Comman…
🔥9👍1
✔ Print all values print(student.values()) ✔ Add a new key student["country"] = "India" print(student) ✔ Update a value student["age"] = 23 print(student) 💡 Dictionaries are one of the most powerful data structures in Python and are widely used to store structured data like JSON, APIs, and database records. 💬 Tap ❤️ if this helped you learn Python faster!
❤17
✅ Python Dictionaries! 🐍✨ Dictionaries are used to store data in key-value pairs. They are ordered, mutable, and do not allow duplicate keys. student = { "name": "Alex", "age": 22, "city": "Mumbai" } 1. Basic Syntax: › Dictionaries use curly braces {}. › Each item consists of a key: value pair. person = { "name": "John", "age": 25 } 💡 Keys must be unique, but values can be duplicated. 2. A…
❤13
Final 6 Hours Left! To register for TiHAN IIT Hyderabad's AI & ML Program. Don't miss your chance to: • Learn from India's best scientists at TiHAN, IIT Professors and industry experts • Direct Interview at TiHAN IIT Hyderabad with 9+ CGPA Register before the Admission Closes!
❤4
Showing the 12 most recent of 20 posts we hold for @pythondevelopersindia. 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.
Citation-graph rank — 90,023 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 13 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
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 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Python Projects & Resources” (@pythondevelopersindia), 63,177 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/pythondevelopersindia.
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.