Telegram RegisterThe public register of Telegram
Telegram profile photo for Python for Data Analysts

Channel

Python for Data Analysts

@pythonanalyst

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

51,486subscribers

-279 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001581238223
TypeChannel
Username@pythonanalyst
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/pythonanalyst

Topic

Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 21 August 2026 and assigned it the closest of 31 fixed categories, at 95% 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 the other topics.

Growth

51,48651,88351,684.56 August 202611 November 2026
65 measurements spanning 97 days, net -279. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 51,426–51,943 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
11 Nov 2026, 02:5951,486-5
9 Nov 2026, 13:0651,491-14
8 Nov 2026, 03:0851,505-13
6 Nov 2026, 23:1051,518-17
5 Nov 2026, 23:4651,535+2
5 Nov 2026, 03:0751,533-16
4 Nov 2026, 05:5751,549-14
3 Nov 2026, 02:0651,563+6
2 Nov 2026, 04:5151,557-6
1 Nov 2026, 02:3651,563-9
31 Oct 2026, 05:5851,572-6
30 Oct 2026, 08:2951,578-14
28 Oct 2026, 11:5651,592-20
27 Oct 2026, 12:3451,612-7
26 Oct 2026, 09:3651,619-15
25 Oct 2026, 11:5751,634-2
24 Oct 2026, 11:5651,636-18
23 Oct 2026, 11:0651,654-10
22 Oct 2026, 08:5551,664+7
21 Oct 2026, 01:1051,657first reading

Engagement

21 posts held, back to 23 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 195 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.01%
avg views ÷ 51,486 subscribers
Avg views / post
1,550
1 post measured
Reaction rate
0.71%
reactions ÷ views · ER floor
Posts in window
1
of 21 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 October 2026
Posts held21 (23 June 2026 – 28 October 2026)
Views total1,550
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 01:39 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.

What this channel posts

Video runtime
30s
Average length
30s

Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

205 reactions across 20 posts, in 4 distinct kinds. The most used accounts for 93.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19293.7%
👍52.44%
👏41.95%
🥰41.95%

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 21 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 205 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 23 June 2026 to 28 October 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 1 post held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

28 Oct 2026, 20:52 UTC≈1,550 views11 reactionsread 11 November 2026

✅ 7 Habits That Make You a Better Data Analyst 📊🧠 1️⃣ Explore Real Datasets Regularly – Use Kaggle, Data.gov, or Google Dataset Search – Focus on different domains: sales, HR, marketing, etc. 2️⃣ Master the Art of Asking Questions – Start with: What do we want to know? – Then: What data do we need to answer it? 3️⃣ Use SQL & Excel Daily – Practice joins, window functions, pivot tables, formulas – Aim to solve 1 re…

❤10👍1

2 Oct 2026, 08:45 UTC≈4,070 views20 reactionsread 11 November 2026
Photo

Skills for data analyst

❤19👏1

24 Sept 2026, 19:09 UTC≈4,730 views4 reactionsread 11 November 2026
Video

GigaChat 3.5 Reasoning is a new open-source LLM designed to reason before generating responses. The model breaks problems into stages, builds execution plans, checks intermediate results, and self-corrects when needed. Built on GigaChat 3.5 Ultra, it was trained on math and coding tasks using multiple step-by-step reasoning paths. An automated verification step reinforces the paths that lead to correct answers, enab…

❤4

23 Sept 2026, 19:19 UTC≈4,060 views10 reactionsread 11 November 2026

Understanding Popular ML Algorithms: 1️⃣ Linear Regression: Think of it as drawing a straight line through data points to predict future outcomes. 2️⃣ Logistic Regression: Like a yes/no machine - it predicts the likelihood of something happening or not. 3️⃣ Decision Trees: Imagine making decisions by answering yes/no questions, leading to a conclusion. 4️⃣ Random Forest: It's like a group of decision trees workin…

❤10

22 Aug 2026, 12:17 UTC≈5,870 views12 reactionsread 11 November 2026

How to Become a Data Analyst from Scratch! 🚀 Whether you're starting fresh or upskilling, here's your roadmap: ➜ Master Excel and SQL - solve SQL problems from leetcode & hackerank ➜ Get the hang of either Power BI or Tableau - do some hands-on projects ➜ learn what the heck ATS is and how to get around it ➜ learn to be ready for any interview question ➜ Build projects for a data portfolio ➜ And you don't need to d…

❤12

20 Aug 2026, 14:44 UTC≈5,120 views8 reactionsread 11 November 2026
Video

🚀 Top Python Careers You Should Know 🐍 Python Developer 🤖 AI / Machine Learning Engineer 📊 Data Scientist 📈 Data Analyst 🌐 Backend Developer ☁️ Cloud & DevOps Engineer 🔒 Cybersecurity Engineer 🧠 Automation Engineer Python isn't just one skill—it's a gateway to multiple high-paying careers.

❤8

13 Aug 2026, 11:19 UTC≈5,470 views17 reactionsread 11 November 2026

📊 Python for Data Science – Complete Beginner Roadmap 🐍🚀 🔹 What is Data Science? Data Science is about: Collecting data Cleaning it Analyzing it Finding insights Making predictions 👉 Example: - Predict sales 📈 - Analyze customer behavior 🛒 - Detect fraud 💳 🧭 Step-by-Step Roadmap 🔹 1️⃣ Strengthen Python Basics Focus on: Lists, dictionaries Loops & conditions Functions Basic file handling 👉 Because data is handl…

❤17

11 Aug 2026, 11:09 UTC≈3,950 views4 reactionsread 11 November 2026

🔥 Python Interview Concept You MUST Know: List Comprehensions 📌 The most important patterns: 🔹 Basic List Comprehension → Create a new list in a single line 🔹 Conditional Filtering → Keep only the elements that match a condition 🔹 If-Else Expression → Transform values based on a condition 🔹 Nested List Comprehension → Work with 2D lists and matrices 🔹 Dictionary Comprehension → Create dictionaries efficiently …

❤4

8 Aug 2026, 21:16 UTC≈4,000 views17 reactionsread 11 November 2026

🚀 Python Roadmap for Data Analytics 🐍📊🔥 🧠 STEP 1: Learn Python Basics ✔ Variables & Data Types ✔ Loops & Functions ✔ Lists, Tuples & Dictionaries ✔ File Handling ✔ Exception Handling 🛠 Tools to Learn: ✔ Jupyter Notebook ✔ Visual Studio Code 📊 STEP 2: Learn Data Handling ✔ Reading CSV & Excel Files ✔ Data Cleaning ✔ Handling Missing Values ✔ Data Transformation 🛠 Libraries to Learn: ✔ Pandas ✔ NumPy 📈 STEP 3: Lea…

❤17

2 Aug 2026, 20:05 UTC≈4,140 views16 reactionsread 11 November 2026

✅ Data Analytics Roadmap for Freshers 🚀📊 1️⃣ Understand What a Data Analyst Does 🔍 Analyze data, find insights, create dashboards, support business decisions. 2️⃣ Start with Excel 📈 Learn: – Basic formulas – Charts & Pivot Tables – Data cleaning 💡 Excel is still the #1 tool in many companies. 3️⃣ Learn SQL 🧩 SQL helps you pull and analyze data from databases. Start with: – SELECT, WHERE, JOIN, GROUP BY 🛠️ Practice…

❤15👏1

31 Jul 2026, 19:04 UTC≈3,760 views11 reactionsread 11 November 2026

✅ Top Python Libraries for Data Analytics & AI 🧠📊 If you're working in data science, machine learning, or AI, these Python libraries are essential. Each one plays a specific role — from handling data to building deep learning models. 🔹 1. NumPy Core library for numerical computations. ⦁ Supports arrays, matrices, and high-performance math functions. ⦁ Foundation for most other data libraries. import numpy as np …

❤11

30 Jul 2026, 12:38 UTC≈3,320 views3 reactionsread 11 November 2026
Photo

XRPPower 3rd Anniversary Celebration Announcement Since its official launch on July 25, 2023, XRPPower has consistently adhered to a service philosophy of security, stability, and efficiency, providing high-quality digital asset management services to users worldwide. As of July 25, 2026, the platform has been operating stably for three years, with over 3 million registered users globally and a service network cover…

❤3

Showing the 12 most recent of 21 posts we hold for @pythonanalyst. 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.

Posts recorded as deleted after publishing

We recorded 2 posts on @pythonanalyst as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
24 September 2026
Most recent seen missing
24 September 2026
Median time before seen missing
2 months
Seen missing in the last 30 days
0

Mentions

Named by 10 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.

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.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

SQL Programming Resources
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Machine Learning & Artificial Intelligence | Data Science Free Courses
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#3
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#5
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#7
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@excel_analyst · 73,317
#8
Data Analyst Interview Resources
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#9
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#10
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#12
Data Analyst Jobs
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#14
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
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#15
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 37,776
#16
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 55,731
#17
Coding Interview Resources
@crackingthecodinginterview · 51,888
#18
Python Courses & Resources
@Python53 · 51,262
#19
Data Science & Machine Learning
@DataScienceInterviews · 27,525
#20
Python Projects & Free Books
@pythonfreebootcamp · 40,266
#21
Web Development
@webdevcoursefree · 79,292
#22
Machine Learning
@MachineLearning9 · 41,912
#23
Learn Python Coding
@pythonRe · 40,901
#24
AI & ML Papers
@PaperNexus · 34,361
#25
Machine Learning with Python
@CodeProgrammer · 68,478
#26
ChatGPT & Free AI Resources
@learngpt · 38,988
#27
Data Engineers
@sql_engineer · 11,283
#28
Data Analytics
@DataAnalyticsX · 30,880
#29
Computer Science Interview Books
@InterviewBooks · 40,355
#30
Coding & Data Science Resources
@codingfreebooks · 32,483
#31
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,720
#32
Python Interviews
@PythonInterviews · 28,729
#33
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 23,243
#34
Coding & AI Resources
@leadcoding · 35,174
#35
Web Development & Javascript Notes - Frontend Resources
@webdevelopmentbook · 32,464
#36
Java Programming
@Java_Programming_Notes · 32,908
#37
Data science/ML/AI
@datascience_bds · 14,048
#38
Cloud Engineers | AWS | Azure | GCP Devops Notes
@AWS_GCP_Azure · 5,752
#39
AI Technology | Claude & ChatGPT Prompts
@aijobss · 14,125
#40
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,239
#41
AI.News.Daily
@ainews_daily · 4,068
#42
Data Analytics & AI | SQL Interviews | Power BI Resources
@Data_Visual · 27,387
#43
Artificial Intelligence | ChatGPT AI | Data Science & Machine Learning
@aichads · 22,825
#44
Data Visualization
@data_visualization_bds · 6,274
#45
Data Science & Machine Learning Free Resources
@datascience69 · 20,402
#46
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 60,007
#47
Jobs | Internships | Placement | Interviews
@getjobss · 112,921
#48
Artificial Intelligence & ChatGPT Prompts
@Curiousprogrammer · 41,965
#49
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@udemy_free_courses_with_certi · 70,309
#50
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@javascript_courses · 55,621
#51
Finance, Investing & Stock Marketing
@stockmarketinginsights · 25,908
#52
Web Development
@webdev_trainings · 133,578
#53
AI and Machine Learning
@machine_learning_courses · 96,444
#54
AI - Artificial Intelligence
@aineeringdotcom · 16,061
#55
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@sql_databases · 70,688
#56
Startup & Business Ideas
@Learn_Startup · 33,066
#57
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@internshiptojobs · 48,365
#58
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@OpenAI_Mastery · 50,408
#59
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@the_programming_girls · 30,242
#60
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@aiindi · 60,146
#61
Learn JavaScript
@JavaScript_Trainings · 96,178
#62
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@generativeai_gpt · 31,030
#63
Data Science Jobs
@datasciencej · 8,293
#64
Learn Business and Finance
@Learn_Business_101 · 53,376
#65
Data Science
@datascienceiot · 42,496
#66
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 56,955
#67
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 5,075
#68
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,947
#69
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,224
#70
Artificial Intelligence
@Artificial_Intelligence_COM · 71,582
#71
Python/ django
@pythonl · 58,287
#72
Learn English Speaking | Daily Conversation | IELTS | Grammar
@englishlearnerspro · 41,472
#73
TrueMinds | Personality Development - Words of Wisdom & Life Quotes
@trueminds · 27,256
#74
Finance | Trading Tips | Stock Marketing | Business News
@Finance_Stock_Trading · 23,020
#75
Finance, Trading & Stock Marketing Books
@BestFinanceBooks · 25,065
#76
DevOps(Document Repository)
@DevopsDoc · 9,773
#77
Crypto Trends
@Bitcoin_Crypto_Web · 22,967
#78
AI Post — Artificial Intelligence
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Health Fitness & Diet Tips - Gym Motivation 💪
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Digital Marketing Tricks
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Udemy
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#82

Read from Telegram’s recommendation API, most recently 24 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

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.

Power BI & Tableau Resources
@PowerBI_analyst · 55,653
Telegram ranks this channel #7 of 84 here — alongside 83 others — read 23 August 2026
Python Projects & Free Books
@pythonfreebootcamp · 40,266
Telegram ranks this channel #8 of 78 here — alongside 77 others — read 30 August 2026
Python Projects & Resources
@pythondevelopersindia · 63,326
Telegram ranks this channel #8 of 86 here — alongside 85 others — read 21 August 2026
MS Excel for Data Analysis
@excel_analyst · 73,317
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 20 August 2026
SQL Programming Resources
@sqlanalyst · 76,328
Telegram ranks this channel #8 of 85 here — alongside 84 others — read 19 August 2026
Data Analyst Jobs
@jobs_SQL · 91,004
Telegram ranks this channel #9 of 86 here — alongside 85 others — read 17 August 2026
Data Analyst Interview Resources
@dataanalystinterview · 52,191
Telegram ranks this channel #11 of 85 here — alongside 84 others — read 24 August 2026
Data Analytics
@sqlspecialist · 110,370
Telegram ranks this channel #11 of 83 here — alongside 82 others — read 14 August 2026
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 53,250
Telegram ranks this channel #12 of 83 here — alongside 82 others — read 24 August 2026
Data Analytics Projects - SQL, Excel, Tableau, Python & Power BI Interview Resources
@sqlproject · 39,505
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 30 August 2026
Data Science Projects
@pythonspecialist · 56,410
Telegram ranks this channel #14 of 89 here — alongside 88 others — read 23 August 2026
Data Science Portfolio - Kaggle Datasets & AI Projects | Artificial Intelligence
@DataPortfolio · 37,776
Telegram ranks this channel #15 of 83 here — alongside 82 others — read 31 August 2026
Data Science & Machine Learning
@DataScienceInterviews · 27,525
Telegram ranks this channel #17 of 86 here — alongside 85 others — read 10 September 2026
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@free4unow_backup · 74,272
Telegram ranks this channel #18 of 78 here — alongside 77 others — read 30 September 2026
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@datascience69 · 20,402
Telegram ranks this channel #18 of 82 here — alongside 81 others — read 27 September 2026
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@cloudymlofficial · 46,614
Telegram ranks this channel #18 of 88 here — alongside 87 others — read 26 August 2026
Python Programming Books
@dsabooks · 59,013
Telegram ranks this channel #18 of 89 here — alongside 88 others — read 22 August 2026
Coding Resources
@CodingResourcees · 42,750
Telegram ranks this channel #19 of 68 here — alongside 67 others — read 28 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 68,644
Telegram ranks this channel #19 of 88 here — alongside 87 others — read 20 August 2026
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@datalemur · 20,682
Telegram ranks this channel #20 of 72 here — alongside 71 others — read 26 September 2026
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@crackingthecodinginterview · 51,888
Telegram ranks this channel #21 of 83 here — alongside 82 others — read 24 August 2026
Coding Projects
@Programming_experts · 67,940
Telegram ranks this channel #21 of 84 here — alongside 83 others — read 20 August 2026
Data Science & Machine Learning
@datasciencefun · 77,697
Telegram ranks this channel #21 of 85 here — alongside 84 others — read 19 August 2026
100 Days of Code – The Complete Python Pro Bootcamp
@python_100_days_of_code · 51,334
Telegram ranks this channel #22 of 65 here — alongside 64 others — read 25 August 2026

This channel appears in 87 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Python for Data Analysts” (@pythonanalyst), 51,486 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/pythonanalyst.

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.