🐍 The Python Journey One Step at a Time Learning Python doesn’t mean mastering everything at once. Build strong fundamentals and progress consistently: ✅ Basics: Variables, Loops & Conditions ✅ Functions & Data Structures ✅ Object-Oriented Programming ✅ NumPy & Pandas ✅ APIs & Automation Projects ✅ Machine Learning & AI 📌 Don’t rush into AI without strong Python fundamentals. 📌 Consistency beats intensity. …

Channel
Python Programming
@pythonpundit
On this record: Topic · Growth · Engagement · Posts · Telegram's recommendations · Cite this entry
8,828subscribers
-54 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001405035303 |
|---|---|
| Type | Channel |
| Username | @pythonpundit |
| Created | Between 1 April 2019 and 30 November 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 12 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 2 times, most recently 16 September 2026 |
| On Telegram | t.me/pythonpundit |
Topic
Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 06:36 | 8,828 | -7 |
| 9 Sept 2026, 05:01 | 8,835 | -13 |
| 3 Sept 2026, 17:59 | 8,848 | -1 |
| 31 Aug 2026, 17:44 | 8,849 | +3 |
| 28 Aug 2026, 13:32 | 8,846 | -17 |
| 25 Aug 2026, 04:22 | 8,863 | -12 |
| 22 Aug 2026, 09:46 | 8,875 | +6 |
| 19 Aug 2026, 10:25 | 8,869 | -7 |
| 16 Aug 2026, 02:22 | 8,876 | -7 |
| 12 Aug 2026, 17:45 | 8,883 | +1 |
| 12 Aug 2026, 16:31 | 8,882 | first reading |
Engagement
23 posts held, back to 3 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 pages of 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 23 posts for this entry, the most recent from 25 August 2026. An engagement rate over an empty window would be a number about nothing.
Recent posts
🐼 Pandas Tip df. info() vs df.describe() Before analyzing a dataset, understand what’s inside it. 🔹 df. info() → Dataset structure • Columns & data types • Non-null values • Memory usage 👉 Great for spotting missing values and incorrect data types. 🔹 df. describe() → Statistical summary • Count, mean, std • Min, max & quartiles 👉 Useful for understanding distributions and spotting potential outliers. 💡 Pro Tip: U…
🚀 Python One-Liners Every Data Professional Should Know Boost your productivity with these useful Pandas shortcuts: ✅ df.duplicated() → Find duplicates ✅ df.isna().sum() → Count missing values ✅ df.describe() → Quick statistics ✅ df.drop_duplicates() → Remove duplicates ✅ df.fillna() → Handle missing data ✅ df.value_counts(normalize=True) → Calculate percentages ✅ df.merge() → Combine datasets ✅ df.pivot_tab…
🐍 Python Roadmap for Beginners Want to start your programming journey with Python? Follow this structured path: 🔹 1. Python Basics • Variables, Data Types, Operators • Input/Output & Comments 🔹 2. Control Flow • if-else • for & while loops • break, continue, pass 🔹 3. Data Structures • Lists, Tuples, Sets, Dictionaries 🔹 4. Functions • Parameters & Return • *args & **kwargs 🔹 5. Modules & File Handling • Import…
🐍 FREE PYTHON DEMO SESSION Start your Python journey with practical, industry-focused learning. 📅 Date:-10,11.12 Aug ⏰ Time: 6:30PM IST 💻 Zoom:-https://us06web.zoom.us/meeting/register/shA5Kv5qQZezcVbV6HKt1w 📞 Call/WhatsApp:- 84510-97879 Limited Seats — Register Now!
🚀 Python Methods & Functions Every Developer Should Know 🐍 Mastering Python isn't just about syntax—it's about knowing the right function for the right task. 📌 Key Areas to Learn: 🔢 Numeric: abs(), round(), min(), max(), sum() 📝 Strings: split(), join(), replace(), upper(), lower() 📋 Lists: append(), extend(), remove(), sort() 📚 Dictionaries: get(), keys(), values(), items() ⚙️ Functions: def, lambda, map(), f…
🐍 Python Cheat Sheet 🚀 Mastering Python fundamentals is the foundation for careers in: ✅ Data Analysis ✅ Automation ✅ Web Development ✅ AI & Machine Learning ✅ Backend Development 📌 This cheat sheet covers: • Variables & Data Types • Lists & Dictionaries • Conditionals & Loops • Functions • File Handling • OOP Basics • Exception Handling • Modules • List Comprehensions • Built-in Functions & Methods 💡 Learn the fu…
🚀 Top 10 Python Tricks Every Beginner Should Know 🐍 Boost your Python skills with these time-saving tricks: ✅ Swap variables: a, b = b, a ✅ Reverse a list: my_list[::-1] ✅ Join strings: " ".join(my_list) ✅ Use in for cleaner conditions ✅ List comprehensions ✅ enumerate() for indexing ✅ zip() for parallel iteration ✅ Remove duplicates with set() ✅ Master *args & **kwargs ✅ Use lambda for quick functions 💡 …
🚀 Evolution of Python DSA 🐍 Python makes learning Data Structures & Algorithms simple, practical, and interview-ready. 💡 Master these concepts: ✅ Arrays, Linked Lists, Stacks & Queues ✅ Trees, Graphs & Hash Tables ✅ Sorting, Binary Search, Recursion ✅ Dynamic Programming, BFS & DFS 🎯 Learning Path: 1️⃣ Python Basics 2️⃣ Data Structures 3️⃣ Algorithms 4️⃣ Solve Problems Daily 5️⃣ Build Logic & Consistency DSA isn'…
🚀 Pandas The Backbone of Data Analysis in Python If you work with data, Pandas is a must-have skill. With Pandas, you can: ✅ Read CSV, Excel, JSON & SQL data ✅ Clean and preprocess datasets ✅ Filter, sort, group & aggregate data ✅ Handle missing values ✅ Transform raw data into meaningful insights 📌 Master these essentials: • DataFrames & Series • head(), info(), describe() • Filtering & grouping • Missing value h…
🚀 Python Cheat Sheet Every Developer Should Bookmark 🐍 Master the Python fundamentals that power real-world development: ✅ Data Types ✅ Operators ✅ Control Flow ✅ Data Structures ✅ Built-in Functions ✅ Strings ✅ List Comprehensions ✅ Functions ✅ File Handling ✅ Exception Handling ✅ Productivity Tips 💡 Strong Python fundamentals are essential for Data Analytics, AI/ML, Web Development, and Automation. Don't just m…
📊 Data Cleaning Cheat Sheet (SQL + Python) Clean data is the foundation of accurate analysis. Master these essential techniques: 🔹 Missing Values • SQL: IS NULL, COALESCE() • Python: isnull(), fillna() 🔹 Remove Duplicates • SQL: SELECT DISTINCT • Python: drop_duplicates() 🔹 Data Formatting • Fix data types, standardize dates, trim & clean text 🔹 Outlier Detection • Use the IQR method to identify extreme values …
Showing the 12 most recent of 23 posts we hold for @pythonpundit. 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.
Appears in Telegram’s recommendations for other channels
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.
@UGC_NET_SET · 24,420
Telegram ranks this channel #31 of 46 here — alongside 45 others — read 16 September 2026
@mindluster · 227,385
Telegram ranks this channel #31 of 61 here — alongside 60 others — read 12 August 2026
@techguide · 41,573
Telegram ranks this channel #40 of 76 here — alongside 75 others — read 29 August 2026
@HINDI_MOTIVATIONAL_QUOTES_VICHAR · 145,236
Telegram ranks this channel #62 of 64 here — alongside 63 others — read 21 August 2026
@cseupscnotes · 149,558
Telegram ranks this channel #75 of 89 here — alongside 88 others — read 12 August 2026
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.
Cite this entry
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 13 September 2026 — this entry's latest reading, not the date you are reading this.
“Python Programming” (@pythonpundit), 8,828 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/pythonpundit.
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.