Telegram RegisterThe public register of Telegram
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Channel

Learn Python

@LearnPython3

On this record: Topic · Growth · Engagement · Reactions · Posts · Polls · Citations · Telegram's recommendations · Cite this entry

125,057subscribers

+420 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001345965225
TypeChannel
Username@LearnPython3
CreatedBetween 1 March 2018 and 31 August 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live21 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 21 August 2026
On Telegramt.me/LearnPython3

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 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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

124,637125,057124,8477 August 2026 — 124,637 subscribers8 August 2026 — 124,659 subscribers9 August 2026 — 124,698 subscribers9 August 2026 — 124,746 subscribers10 August 2026 — 124,794 subscribers12 August 2026 — 124,805 subscribers13 August 2026 — 124,849 subscribers14 August 2026 — 124,865 subscribers15 August 2026 — 124,901 subscribers17 August 2026 — 124,952 subscribers18 August 2026 — 124,962 subscribers19 August 2026 — 124,992 subscribers20 August 2026 — 125,026 subscribers21 August 2026 — 125,057 subscribers7 August 202621 August 2026
14 measurements spanning 14 days, net +420. 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 124,574–125,120 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
21 Aug 2026, 12:17125,057+31
20 Aug 2026, 11:34125,026+34
19 Aug 2026, 13:23124,992+30
18 Aug 2026, 10:14124,962+10
17 Aug 2026, 10:58124,952+51
15 Aug 2026, 18:19124,901+36
14 Aug 2026, 09:58124,865+16
13 Aug 2026, 02:13124,849+44
12 Aug 2026, 01:58124,805+11
10 Aug 2026, 22:43124,794+48
9 Aug 2026, 22:21124,746+48
9 Aug 2026, 00:52124,698+39
8 Aug 2026, 01:20124,659+22
7 Aug 2026, 04:15124,637first reading

Engagement

31 posts held, back to 16 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 6 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
4.68%
avg views ÷ 125,057 subscribers
Avg views / post
5,860
24 posts measured
Reaction rate
0.208%
reactions ÷ views · ER floor
Posts in window
24
of 31 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. It is computed over the 21 of 24 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held31 (16 July 20267 August 2026)
Views total140,530
Reactions total274
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 12:34 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.

Reaction mix

470 reactions across 28 posts, in 3 distinct kinds. The most used accounts for 67.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
31867.7%
👍10923.2%
🔥439.15%

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 28 of the 31 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 470reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 31 most recent posts we hold, published 16 July 2026 to 7 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.

Recent posts

7 Aug 2026, 10:00 UTC≈3,150 viewsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

7 Aug 2026, 10:00 UTC≈2,610 viewsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

7 Aug 2026, 10:00 UTC≈2,830 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

7 Aug 2026, 10:00 UTC≈2,980 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

7 Aug 2026, 10:00 UTC≈3,140 viewsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

7 Aug 2026, 10:00 UTC≈3,160 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

7 Aug 2026, 10:00 UTC≈2,660 views5 reactionsread 8 August 2026
Photo

🔅 Python for Data Science and Machine Learning Essential Training Part 1 📝 Learn Python programming skills for data science and machine learning. Discover how to clean, transform, analyze, and visualize data, as you build a practical, real-world project. 🌐 Author: Lillian Pierson, P.E. 🔰 Level: Intermediate ⏰ Duration: 7h 44m 📋 Topics: Data Science, Machine Learning, Python 🔗 Join Learn Python for more courses

👍32

7 Aug 2026, 10:00 UTC≈2,410 views2 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

2

7 Aug 2026, 10:00 UTC≈2,240 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

7 Aug 2026, 10:00 UTC≈2,270 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

7 Aug 2026, 10:00 UTC≈2,310 views1 reactionsread 8 August 2026
File

📱Learn Python 📱Python for Data Science and Machine Learning Essential Training Part 1

1

Showing the 12 most recent of 31 posts we hold for @LearnPython3. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

3 Aug 2026, 10:16 UTCAnonymous Quiz1,640 voters approx.

🟢 Options:

  1. A53%
  2. B10%
  3. C17%
  4. D20%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 31 most recent posts we hold, published 16 July 2026 to 7 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 248,844 of 1,583,249entries 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.

Mentions

Named by 5 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.

Linkedin Learning
@linkedin_learning · 218,422
#1
Web Development
@webdev_trainings · 133,958
#2
Artificial Intelligence
@Artificial_Intelligence_COM · 72,539
#3
Learn JavaScript
@JavaScript_Trainings · 97,098
#4
AI and Machine Learning
@machine_learning_courses · 95,211
#5
Learn Business and Finance
@Learn_Business_101 · 52,157
#6
Python Courses & Resources
@Python53 · 50,412
#7
100 Days of Code – The Complete Python Pro Bootcamp
@python_100_days_of_code · 50,792
#8
Machine Learning with Python
@CodeProgrammer · 68,188
#9
Learn Python Coding
@pythonRe · 40,106
#10
Machine Learning
@MachineLearning9 · 40,997
#11
Zero To Mastery Academy
@ZTM_ACADEMY · 41,162
#12
Web Development
@webdevcoursefree · 79,334
#13
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 67,978
#14
Data Science & Machine Learning
@datasciencefun · 77,305
#15
Data Analytics
@DataAnalyticsX · 29,861
#16
AI & ML Papers
@PaperNexus · 33,553
#17
Soft Skills
@SoftSkills101 · 35,191
#18
Data Analytics
@sqlspecialist · 110,764
#19
Artificial Intelligence
@machinelearning_deeplearning · 55,195
#20
Coding Projects
@Programming_experts · 67,322
#21
Coding Learning
@CodingDrive · 13,393
#22
ML - DS/DA/DE - AI [Jobs, InterviewPrep] 🇮🇳
@ml_ds_ai_jobs · 25,980
#23
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,042
#24
Remote Python Jobs: Find your dream remote Python job!
@remote_python_jobs · 4,889
#25
CODEDAMN
@codedamn · 34,523
#26
Python Projects & Resources
@pythondevelopersindia · 63,316
#27
Python Programming Books
@dsabooks · 59,037
#28
Data Science Projects
@pythonspecialist · 56,048
#29
𝘾𝘿𝙄 (𝙉𝙊𝙏𝙀𝙎) 🚩
@CdiNotes · 19,473
#30
PythonEB
@pythonEB · 2,636 (as read 13 August 2026)
#31
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 57,595
#32
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,642
#33
Artificial Intelligence / Deep & Machine Learning (Data Science)
@DataLearning_101 · 14,736
#34
Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
@programming_guide · 56,176
#35
AI - Artificial Intelligence
@aineeringdotcom · 15,969
#36
Computer Science and Programming
@computer_science_and_programming · 140,868
#37
AI.News.Daily
@ainews_daily · 3,855
#38
Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
@learndataanalysis · 52,960
#39
Always Free Udemy Courses
@AlwaysFreeUdemyCourses · 18,548
#40
Udemy4U - Free Udemy Courses
@Udemy4U · 115,163
#41
Python for Data Analysts
@pythonanalyst · 51,860
#42
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,634
#43
Data science/ML/AI
@datascience_bds · 13,904
#44
Data Engineers
@sql_engineer · 10,859
#45
Ai Tools: ChatGPT, Midjourney, Deepseek
@OpenAI_Mastery · 49,940
#46
Data Science
@sql_databases · 70,914
#47
Learn React and NextJs
@React_Training · 63,212
#48
Mobile Development: Kotlin, Swift, React Native, Flutter, Dart, Expo, Capacitor
@APP_Mastery · 39,888
#49
Crypto Lessons
@cryptotutorials_101 · 30,540
#50
SQL Programming Resources
@sqlanalyst · 76,646
#51
AI Post — Artificial Intelligence
@aipost · 731,966
#52
Web Development - HTML, CSS & JavaScript
@javascript_courses · 55,637
#53
Ready.code - JS development. Releases and articles
@ready_dot_code · 8,448
#54
Master the Coding Interview
@Master_Coding_Interview · 30,321
#55
Coding Interview Resources
@crackingthecodinginterview · 52,284
#56
MS Excel for Data Analysis
@excel_analyst · 72,374
#57
Offensive-Sec
@Offensiv3Sec · 41,716
#58
Power BI & Tableau Resources
@PowerBI_analyst · 55,932
#59
Learn AutoCAD
@AutoCAD_Explained · 25,155
#60
Cool GitHub repositories
@github_repositories_bds · 10,409
#61
Telegram Shorts: Best Funny Videos
@AI_Agentic_Coding · 25,178
#62
The Complete Python Pro Bootcamp
@Python_100_Days_of_Code_Udemy · 22,232
#63
Jobs | Internships | Placement | Interviews
@getjobss · 113,225
#64
Data Analyst Jobs
@jobs_SQL · 91,192
#65

Read from Telegram’s recommendation API, most recently 13 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.

Linux and DevOps
@LinuxMastery · 67,233
Telegram ranks this channel #1 of 60 here — alongside 59 others — read 22 August 2026
Artificial Intelligence
@Artificial_Intelligence_COM · 72,539
Telegram ranks this channel #1 of 46 here — alongside 45 others — read 20 August 2026
PythonNotes
@pythonnotes1 · 78,494
Telegram ranks this channel #1 of 69 here — alongside 68 others — read 19 August 2026
AI and Machine Learning
@machine_learning_courses · 95,211
Telegram ranks this channel #1 of 74 here — alongside 73 others — read 16 August 2026
Linkedin Learning
@linkedin_learning · 218,422
Telegram ranks this channel #1 of 65 here — alongside 64 others — read 11 August 2026
Learn JavaScript
@JavaScript_Trainings · 97,098
Telegram ranks this channel #3 of 68 here — alongside 67 others — read 16 August 2026
Web Development
@webdev_trainings · 133,958
Telegram ranks this channel #3 of 65 here — alongside 64 others — read 13 August 2026
CODING SOLUTION - Placement Jobs & Materials
@codingsolution_IT · 134,593
Telegram ranks this channel #5 of 86 here — alongside 85 others — read 13 August 2026
TheSanskaarSingh
@codeslearningTG · 270,802
Telegram ranks this channel #6 of 84 here — alongside 83 others — read 11 August 2026
Pythonlearnerr
@pythonlearnerr · 110,486
Telegram ranks this channel #7 of 75 here — alongside 74 others — read 14 August 2026
Udemy Free Courses
@Udemy_Free_Courses4 · 252,731
Telegram ranks this channel #7 of 35 here — alongside 34 others — read 10 August 2026
Machine Learning with Python
@CodeProgrammer · 68,188
Telegram ranks this channel #8 of 84 here — alongside 83 others — read 20 August 2026
Web Development
@webdevcoursefree · 79,334
Telegram ranks this channel #9 of 79 here — alongside 78 others — read 19 August 2026
NOTES GALLERY
@NotesGallery1 · 91,373
Telegram ranks this channel #9 of 71 here — alongside 70 others — read 17 August 2026
Udemy4U - Free Udemy Courses
@Udemy4U · 115,163
Telegram ranks this channel #9 of 51 here — alongside 50 others — read 14 August 2026
Curious Coder
@Curious_Coder · 136,420
Telegram ranks this channel #11 of 75 here — alongside 74 others — read 13 August 2026
Computer Science and Programming
@computer_science_and_programming · 140,868
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 13 August 2026
Certified Free Courses - MindLuster
@mindluster · 225,775
Telegram ranks this channel #12 of 61 here — alongside 60 others — read 12 August 2026
Data Science
@sql_databases · 70,914
Telegram ranks this channel #13 of 73 here — alongside 72 others — read 20 August 2026
Learn React and NextJs
@React_Training · 63,212
Telegram ranks this channel #15 of 64 here — alongside 63 others — read 21 August 2026
Udemy Free Courses | Coding | ChatGPT | AI Crypto | Microsoft Certificate | Artificial Intelligence
@udemy_free_courses_with_certi · 70,642
Telegram ranks this channel #15 of 80 here — alongside 79 others — read 20 August 2026
Free Udemy Courses
@Udemy7 · 123,887
Telegram ranks this channel #15 of 48 here — alongside 47 others — read 13 August 2026
Data Science & Machine Learning
@datasciencefun · 77,305
Telegram ranks this channel #16 of 85 here — alongside 84 others — read 19 August 2026
Machine Learning & Artificial Intelligence | Data Science Free Courses
@datasciencefree · 67,978
Telegram ranks this channel #17 of 88 here — alongside 87 others — read 20 August 2026

This channel appears in 54 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 21 August 2026 — this entry's latest reading, not the date you are reading this.

“Learn Python” (@LearnPython3), 125,057 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/LearnPython3.

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.