Learning Python for data science can be a rewarding experience. Here are some steps you can follow to get started: 1. Learn the Basics of Python: Start by learning the basics of Python programming language such as syntax, data types, functions, loops, and conditional statements. There are many online resources available for free to learn Python. 2. Understand Data Structures and Libraries: Familiarize yourself with…

Channel
Python Resources TP
@pythonresourcestp
On this record: Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,832subscribers
+7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1002441451721 |
|---|---|
| Type | Channel |
| Username | @pythonresourcestp |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 21 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 21 August 2026 |
| On Telegram | t.me/pythonresourcestp |
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 4 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
@freecoursescentre · Channel2,280 subscribersArtificial Intelligence Resources TP . AI Tools . AI Updates
@airesourcestp · Channel2,099 subscribersData Science Resources TP . Data Engineering . Kaggle Datasets
@datascienceresourcestp · Channel1,556 subscribersMachine Learning Resources TP
@mlresourcestp · Channel1,312 subscribers
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 11:38 | 1,832 | +12 |
| 18 Aug 2026, 04:12 | 1,820 | -2 |
| 14 Aug 2026, 19:09 | 1,822 | -2 |
| 11 Aug 2026, 09:37 | 1,824 | -1 |
| 7 Aug 2026, 20:48 | 1,825 | no change |
| 7 Aug 2026, 20:31 | 1,825 | first reading |
Engagement
20 posts held, back to 4 July 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 1 pageof 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 24 June 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
27 reactions across 12 posts, in 6 distinct kinds. The most used accounts for 74.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 20 | 74.1% | |
| 🔥 | 2 | 7.41% | |
| 😁 | 2 | 7.41% | |
| 👍 | 1 | 3.70% | |
| 👎 | 1 | 3.70% | |
| 😱 | 1 | 3.70% |
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 12 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 27reactions 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 4 July 2025 to 24 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.
Recent posts
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❤1
We may have a plan to learn. We may have a plan to create a new product. We may have a plan to achieve a well-paying remote job. But the important thing is how far we have come in terms of our professional abilities and the discipline we have to move from being wanted to being wanted. Work until you no longer have to chase opportunities—until opportunities chase you. Have a good working day.
🔥2❤1
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❤1
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Master Python: The Python Tree 👇 | |── Basics | ├── Variables | ├── Data Types | | ├── Integers | | ├── Floats | | ├── Strings | | ├── Booleans | | └── None | | | ├── Operators | | ├── Arithmetic | | ├── Comparison | | ├── Logical | | ├── Assignment | | └── Identity | | | ├── Control Flow…
❤11👍1
pythonSTierConfirmed 😹😹
😁2😱1
Showing the 12 most recent of 20 posts we hold for @pythonresourcestp. 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
Citation-graph rank — 1,389,710 of 1,584,486entries 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
@jobsourceglobal · 2,2965 postsTech Psyche . Updates . Tech Tips & Tricks . Programming , Tech Course
@techpsyche · 3,4185 postsFree Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
@freecoursescentre · 2,2802 postsData Science Resources TP . Data Engineering . Kaggle Datasets
@datascienceresourcestp · 1,5561 postKT Remote Jobs
@remotejobskt · 451 post
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.
Mentions
Named by 2 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.
Names
Channels on the register whose handles appear in this channel's posts.
@jobsourceglobal · 2,2965 postsTech Psyche . Updates . Tech Tips & Tricks . Programming , Tech Course
@techpsyche · 3,4182 postsData Science Resources TP . Data Engineering . Kaggle Datasets
@datascienceresourcestp · 1,5561 postKT Remote Jobs
@remotejobskt · 451 post
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.
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.
“Python Resources TP” (@pythonresourcestp), 1,832 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/pythonresourcestp.
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.