Telegram RegisterThe public register of Telegram

Channel

Python for Data Analysts

@pythonanalyst

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

51,795subscribers

+30 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
DescriptionFind top Python resources from global universities, cool projects, and learning materials for data analytics. For promotions: @coderfun Useful links: heylink.me/DataAnalytics
CreatedBetween 1 August 2021 and 31 January 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/pythonanalyst

Growth

51,76551,79551,7806 August 2026 — 51,765 subscribers6 August 2026 — 51,765 subscribers7 August 2026 — 51,776 subscribers8 August 2026 — 51,772 subscribers9 August 2026 — 51,774 subscribers10 August 2026 — 51,788 subscribers11 August 2026 — 51,792 subscribers12 August 2026 — 51,795 subscribers6 August 202612 August 2026
8 measurements spanning 6 days, net +30. 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 51,761–51,800 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 18:4751,795+3
11 Aug 2026, 16:5851,792+4
10 Aug 2026, 15:4451,788+14
9 Aug 2026, 16:3351,774+2
8 Aug 2026, 13:1851,772-4
7 Aug 2026, 11:5751,776+11
6 Aug 2026, 14:4551,765no change
6 Aug 2026, 14:3851,765first reading

Engagement

16 posts held, back to 23 June 2026the 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 · 30 days
3.53%
avg views ÷ 51,795 subscribers
Avg views / post
1,830
11 posts measured
Reaction rate
0.323%
reactions ÷ views · ER floor
Posts in window
11
of 16 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 10 of 11 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 11 August 2026
Posts held16 (23 June 202611 August 2026)
Views total20,139
Reactions total60
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:39 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

Photos
535
Videos
1
Links
331

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.

Reaction mix

104 reactions across 14 posts, in 4 distinct kinds. The most used accounts for 89.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9389.4%
👍43.85%
🥰43.85%
👏32.88%

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 15 of the 16 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 104reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 16 most recent posts we hold, published 23 June 2026 to 11 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

11 Aug 2026, 11:09 UTC619 views1 reactionsread 12 August 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

1

8 Aug 2026, 21:16 UTC≈1,040 views9 reactionsread 12 August 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

9

2 Aug 2026, 20:05 UTC≈1,910 views13 reactionsread 12 August 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

12👏1

31 Jul 2026, 19:04 UTC≈1,810 views8 reactionsread 12 August 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

8

30 Jul 2026, 12:38 UTC≈1,860 views2 reactionsread 12 August 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

2

25 Jul 2026, 19:03 UTC≈2,410 views10 reactionsread 12 August 2026

Complete roadmap to learn Python for data analysis Step 1: Fundamentals of Python 1. Basics of Python Programming - Introduction to Python - Data types (integers, floats, strings, booleans) - Variables and constants - Basic operators (arithmetic, comparison, logical) 2. Control Structures - Conditional statements (if, elif, else) - Loops (for, while) - List comprehensions 3. Functions and Mod

10

23 Jul 2026, 06:32 UTC≈2,230 views0 reactionsread 12 August 2026
Photo

If you’re a student, graduate, or someone looking for a career switch, read this. Most people spend months watching random YouTube videos and still don’t become job-ready. Instead, learn in a structured offline classroom. 📌 Data Analytics with GenAI 📌 Python + SQL + Power BI 📌 6-Month Program 📌 1:1 Mentorship 📌 Job Assistance 📍Now available in your city. Seats are limited. 👉 Register Here: https://lp.pwskills.c

23 Jul 2026, 06:23 UTC≈1,970 views5 reactionsread 12 August 2026

𝐓𝐢𝐩𝐬 𝐟𝐨𝐫 𝐏𝐲𝐭𝐡𝐨𝐧 𝐂𝐨𝐝𝐢𝐧𝐠 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: 𝘐 𝘨𝘦𝘵 𝘴𝘰 𝘮𝘢𝘯𝘺 𝘲𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 𝘧𝘳𝘰𝘮 𝘥𝘢𝘵𝘢 𝘢𝘯𝘢𝘭𝘺𝘵𝘪𝘤𝘴 𝘢𝘴𝘱𝘪𝘳𝘢𝘯𝘵𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘰𝘯 𝘩𝘰𝘸 𝘵𝘰 𝘨𝘢𝘪𝘯 𝘤𝘰𝘮𝘮𝘢𝘯𝘥 𝘰𝘧 𝘗𝘺𝘵𝘩𝘰𝘯. 📍𝐋𝐞𝐚𝐫𝐧 𝐂𝐨𝐫𝐞 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Master Python libraries for data analytics, like -pandas for dataframes, -NumPy for numerical operations, -Matplotlib/Seaborn for plotting, -scikit-learn for machine learning. 📍𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐂𝐨𝐧𝐜𝐞𝐩𝐭𝐬: Important concepts like list comprehensio

5

22 Jul 2026, 18:51 UTC≈2,010 views9 reactionsread 12 August 2026

🚀 How to Land a Data Analyst Job Without Experience? Many people asked me this question, so I thought to answer it here to help everyone. Here is the step-by-step approach i would recommend: ✅ Step 1: Master the Essential Skills You need to build a strong foundation in: 🔹 SQL – Learn how to extract and manipulate data 🔹 Excel – Master formulas, Pivot Tables, and dashboards 🔹 Python – Focus on Pandas, NumPy, and M

9

16 Jul 2026, 08:53 UTC≈2,730 views3 reactionsread 12 August 2026
Photo

Aaj hi ek certified Hackar bano!💻 Shuru se saari cheeze seekho bilkul basic se!! PW skills leke aaya h certified Ethical Hacking ka course!! Isme milega : ✅ Hands on Practice ✅ LIVE Hacking Labs ✅ Certificate after Completion Sirf Rs 4999 mai Abhi enroll karo HACK30 Coupon code use karke 30% OFF milega! Enroll NOW : https://pwskills.com/web-development/certified-ethical-hacking-course-035473/?source=pwskills.com

3

14 Jul 2026, 05:27 UTC≈2,750 views10 reactionsread 12 August 2026

📚 Frequently Asked Pandas Interview Questions (Beginner Level) 1️⃣ What is the difference between a Series and a DataFrame? 💡 Answer: Series → A one-dimensional labeled array. DataFrame → A two-dimensional table with rows and columns. 2️⃣ How do you find missing values in a DataFrame? 💡 Answer: df.isnull().sum() This returns the number of missing values in each column. 3️⃣ What is the difference between loc a

10

Showing the 12 most recent of 16 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.

Citation-graph rank

Citation-graph rank — 145,539 of 1,160,990entries 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 7 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.

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.

TheSanskaarSingh
@codeslearningTG · 269,931
Telegram ranks this channel #62 of 84 here — alongside 83 others — read 11 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“Python for Data Analysts” (@pythonanalyst), 51,795 subscribers as measured 12 August 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.