Telegram RegisterThe public register of Telegram
Telegram profile photo for Python Resources - Basic Python, ML, DataScience, BigData

Channel

Python Resources - Basic Python, ML, DataScience, BigData

@python_resources_iGnani

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Handles named that no longer answer · Cite this entry

2,465subscribers

-19 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-1001414763257
TypeChannel
Username@python_resources_iGnani
CreatedBetween 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live24 August 2026
Measurements held7
Confirmed unchanged1 time, most recently 24 August 2026
On Telegramt.me/python_resources_iGnani

Growth

2,4652,4842,474.57 August 2026 — 2,484 subscribers7 August 2026 — 2,484 subscribers8 August 2026 — 2,482 subscribers11 August 2026 — 2,481 subscribers15 August 2026 — 2,476 subscribers18 August 2026 — 2,474 subscribers24 August 2026 — 2,465 subscribers7 August 202624 August 2026
7 measurements spanning 17 days, net -19. 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 2,462–2,487 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
24 Aug 2026, 17:162,465-9
18 Aug 2026, 04:222,474-2
15 Aug 2026, 05:462,476-5
11 Aug 2026, 18:362,481-1
8 Aug 2026, 11:262,482-2
7 Aug 2026, 23:162,484no change
7 Aug 2026, 23:082,484first reading

Engagement

20 posts held, back to 21 September 2022the 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 26 May 2023. An engagement rate over an empty window would be a number about nothing.

Reaction mix

39 reactions across 13 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2666.7%
1230.8%
🔥12.56%

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 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 39reactions 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 21 September 2022 to 26 May 2023, 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

26 May 2023, 08:36 UTC≈8,240 views10 reactionsread 7 August 2026

Do leave your details here. I will share the training mode and schedule soon. Since training is not my profession and am doing it just as a give back to the community, there won't be fixed schedule, but will keep you all posted in advance. Join this (https://discord.com/channels/1091646956411048018/1111572581397565450) discord community channel.

👍64

Signed Babu Reddy

26 May 2023, 07:57 UTC≈7,950 views2 reactionsread 7 August 2026
Poll

I am planning to conduct a free training session for Azure Databricks, DataFactory & PySpark. Let me know if you are interested.

  1. Yes, very much interested.88%
  2. No, not interested in BigData/ML7%
  3. Not Sure4%

Shares as published, totalling 99%. No per-option vote count is published by Telegram, so none is shown.

👍2

Signed Babu Reddy

21 Apr 2023, 05:44 UTC≈7,010 views6 reactionsread 7 August 2026

PyTip for the day: \_#else clause Use the "*else_" clause in a loop to handle cases where the loop finishes normally (without a "brea*k" statement). When using a "for" or "while" loop in Python, you may sometimes need to handle the case where the loop completes normally, without encountering a "break" statement. In this case, you can use the "else" clause in your loop to execute a block of code after the loop fi

👍51

Signed Rustbot

20 Apr 2023, 07:17 UTC≈5,500 views0 reactionsread 7 August 2026
Photo

Photo, posted without a caption

Signed Rustbot

15 Apr 2023, 06:40 UTC≈5,640 views6 reactionsread 7 August 2026

PyTip for the day: #f-strings Use f-strings for string interpolation and formatting. f-strings are a relatively new feature in Python 3.6 and later that allow you to embed expressions inside string literals, using a syntax that is similar to string formatting. f-strings make it easy to create strings that include variables or other expressions, without having to use cumbersome string concatenation or formatting

👍41🔥1

Signed Rustbot

14 Apr 2023, 03:50 UTC≈4,790 views1 reactionsread 7 August 2026

PyTip for the day: Use generators to create lazy sequences of data. Generators are a powerful feature in Python that allow you to create lazy sequences of data. A generator is a function that returns an iterator, which can be used to generate a sequence of values on the fly, without having to create a list or other data structure to hold all the values in memory at once. Here's an example: Define a generator that g

👍1

Signed Rustbot

13 Apr 2023, 04:25 UTC≈3,890 views1 reactionsread 7 August 2026

PyTip for the day: To modify the behavior of functions in Python, use decorators. Decorators are a powerful feature that take a function or method as an argument and return a new function with added functionality. Here's an example: Define a decorator that adds logging to a function def add_logging(func): def wrapper(*args, **kwargs): print(f"Calling {func.__name__} with args={args}, kwargs={kwargs}")

👍1

Signed Rustbot

12 Apr 2023, 05:08 UTC≈34,500 views1 reactionsread 7 August 2026

PyTip for the day: Use the "enumerate" function to iterate over a sequence and get the index of each element. Sometimes when you're iterating over a list or other sequence in Python, you need to keep track of the index of the current element. One way to do this is to use a counter variable and increment it on each iteration, but this can be tedious and error-prone. A better way to get the index of each element is t

👍1

Signed Rustbot

11 Apr 2023, 04:45 UTC≈3,150 views2 reactionsread 7 August 2026

PyTip for the day: `with` statement Use the "with" statement to automatically close files after reading or writing data. When working with files in Python, it's important to remember to close the file after you're done with it. If you don't close the file, it can lead to data loss or other errors. One way to ensure that your files are always closed properly is to use the "with" statement. The "with" statement autom

1👍1

Signed Rustbot

10 Apr 2023, 05:55 UTC≈2,850 viewsread 7 August 2026

PyTip for the day: List comprehension, with more examples: Check out previous tip to begin with. Use list comprehension to create a new list based on an existing list with minimal code. List comprehension is a concise and readable way to create a new list by transforming or filtering an existing list. It can make your code more efficient and easier to read. Here's an example: Create a new list that contains the s

Signed Rustbot

7 Apr 2023, 04:38 UTC≈2,030 viewsread 7 August 2026

PyTip for the day: When working with lists in Python, consider using list comprehensions instead of for loops to perform operations on the list elements. List comprehensions are more concise, readable, and often faster than using traditional for loops. For example, instead of using a for loop to create a new list that contains the squared values of the elements in an existing list, you can use a list comprehension

Signed Babu Reddy

6 Apr 2023, 14:36 UTC≈2,030 viewsread 7 August 2026

To learn data structures and algorithms in Python, you can follow these steps: 1. Start with the basics: Learn about the most common data structures, such as arrays, linked lists, stacks, queues, trees, and graphs. Learn how to implement them in Python and understand their time and space complexities. 2. Study algorithms: Study the most common algorithms for searching, sorting, and traversing data structures. Under

Signed Babu Reddy

Showing the 12 most recent of 20 posts we hold for @python_resources_iGnani. 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.

26 May 2023, 07:57 UTCAnonymous Poll401 voters

I am planning to conduct a free training session for Azure Databricks, DataFactory & PySpark. Let me know if you are interested.

  1. Yes, very much interested.88%
  2. No, not interested in BigData/ML7%
  3. Not Sure4%

Shares as published, totalling 99%. 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 20 most recent posts we hold, published 21 September 2022 to 26 May 2023. 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 — 399,628 of 1,602,868entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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 24 August 2026 — this entry's latest reading, not the date you are reading this.

“Python Resources - Basic Python, ML, DataScience, BigData” (@python_resources_iGnani), 2,465 subscribers as measured 24 August 2026. Telegram Register, tgregister.com/channel/python_resources_iGnani.

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.