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Channel

Python Codes Basic to Advance

@Python_Codes_Pro

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

2,589subscribers

-2 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001659485614
TypeChannel
Username@Python_Codes_Pro
CreatedBetween 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/Python_Codes_Pro

Growth

2,5892,5922,590.58 August 2026 — 2,591 subscribers8 August 2026 — 2,592 subscribers11 August 2026 — 2,589 subscribers8 August 202611 August 2026
3 measurements spanning 3 days, net -2. 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 2,589–2,592 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 16:422,589-3
8 Aug 2026, 23:502,592+1
8 Aug 2026, 10:492,591first reading

Engagement

20 posts held, back to 22 May 2025the 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 10 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

45 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 86.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
3986.7%
👍511.1%
👏12.22%

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 16 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 45reactions 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 22 May 2025 to 10 May 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

10 May 2026, 07:24 UTC929 views1 reactionsread 8 August 2026
Forwarded from @CodesSnippetPhoto

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1

Signed </> ᴍᴜᴋᴇsʜ </>

5 Oct 2025, 14:31 UTC≈3,060 views6 reactionsread 8 August 2026

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6

Signed राम सियाराम सियाराम जय जय राम 🙏 तुम साथ हो जो मेरे, किस चीज की कमी है ।

3 Oct 2025, 16:50 UTC≈2,930 views1 reactionsread 8 August 2026

Join BCA/MCA developers group on arattai A Indian chat app by zoho Supported by government https://chat.arattai.in/groups/t43545f313237373536333834333438343434363931355f32303030353533333235382d47437c3031303131353032353136343137353935303935383035393830

1

Signed राम सियाराम सियाराम जय जय राम 🙏 तुम साथ हो जो मेरे, किस चीज की कमी है ।

29 Jul 2025, 14:25 UTC≈3,640 views6 reactionsread 8 August 2026

Count Printable character from file using Python from string import printable def count_char(): with open(r"bookbot/books/frankenstein.txt", "r", encoding="utf-8") as f: file_contents = f.read().lower() char=list(printable) d=dict() for i in char: d[i]=0 for i in file_contents: if i in d: d[i]+=1 print(d) count_char() Sample Output: {'0': 18, '1': 91, '2'

6

Signed </> ᴍᴜᴋᴇsʜ </>

28 Jul 2025, 06:35 UTC≈2,580 views1 reactionsread 8 August 2026
Forwarded from @CodesSnippet

explore free api : https://freeapi.hashnode.space/freeapi-docs/freeapi Jᴏɪɴ ᴜs :- @CodesSnippet

1

Signed </> ᴍᴜᴋᴇsʜ </>

28 Jul 2025, 06:29 UTC≈2,780 views4 reactionsread 8 August 2026

Random User API import requests response = requests.get('https://randomuser.me/api/') if response.status_code == 200: data = response.json() print(data) else: print(f"Request failed with status code: {response.status_code}") SAMPLE OUTPUT : {'results': [{'gender': 'male', 'name': {'title': 'Mr', 'first': 'Milan', 'last': 'Abramović'}, 'location': {'street': {'number': 2467, 'name': 'Kosmajska'}, 'city':

4

Signed </> ᴍᴜᴋᴇsʜ </>

2 Jul 2025, 02:52 UTC≈2,850 views0 reactionsread 8 August 2026

Join Coding https://t.me/addlist/2UhsQW_cGzkxMzg1

Signed राम सियाराम सियाराम जय जय राम 🙏 तुम साथ हो जो मेरे, किस चीज की कमी है ।

2 Jul 2025, 02:50 UTC≈2,790 views2 reactionsread 8 August 2026

String functions https://t.me/Python_Codes_Pro/86 20 Questions on python loops: https://t.me/Python_Codes_Pro/135

2

Signed राम सियाराम सियाराम जय जय राम 🙏 तुम साथ हो जो मेरे, किस चीज की कमी है ।

26 Jun 2025, 15:48 UTC≈2,770 views7 reactionsread 8 August 2026

Reverse an array import numpy as np def Reversed(numbers:np.array): # Reverse an array start = 0 last = len(numbers)-1 while (start < last): temp = numbers[last] numbers[last] = numbers[start] numbers[start] = temp start+=1 last-=1 numbers=np.array([2,4,6,8,10,12,14,16]) Reversed(numbers) for item in range(0,len(numbers)): print(numbers[item],end=" ")

7

Signed </> ᴍᴜᴋᴇsʜ </>

19 Jun 2025, 15:55 UTC≈2,540 views4 reactionsread 8 August 2026

0-1 Triangle Pattern def zero_one_triangle(num): """ Purpose: for triangle pattern """ for i in range(1,num+1): for j in range(1,i+1): # print(i+j) if ((i+j)%2)==0: print("1",end=" ") else: print("0",end=" ") print() zero_one_triangle(5) Output: 1 0 1 1 0 1 0 1 0 1 1 0 1 0 1

4

Signed </> ᴍᴜᴋᴇsʜ </>

19 Jun 2025, 15:29 UTC≈2,230 views2 reactionsread 8 August 2026

Floyd`s Triangle Pattern. def floyd_triangle(n): count=1 for i in range(0, n+1): for j in range(0, i): print(count,end=" ") count+=1 print() floyd_triangle(5) OutPut: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

2

Signed </> ᴍᴜᴋᴇsʜ </>

Showing the 12 most recent of 20 posts we hold for @Python_Codes_Pro. 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 3 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

22 May 2025, 04:32 UTCAnonymous Quiz94 voters

How can you drop a column from a DataFrame in Pandas?

  1. df.remove_column("ColumnName")16%
  2. df.drop_column("ColumnName")36%
  3. df.remove("ColumnName", axis=1)26%
  4. df.drop("ColumnName", axis=1)22%

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

22 May 2025, 04:32 UTCAnonymous Quiz102 voters

What does the groupby() function in Pandas allow you to do?

  1. Group DataFrame columns15%
  2. Group DataFrame rows based on a condition40%
  3. Group data based on one or more columns30%
  4. Group data based on the index15%

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

22 May 2025, 04:32 UTCAnonymous Quiz167 voters

How can you merge two DataFrames in Pandas?

  1. df.concat()26%
  2. df.join()21%
  3. df.merge()45%
  4. df.combine()8%

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 20 most recent posts we hold, published 22 May 2025 to 10 May 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 — 601,554 of 1,345,403entries 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.

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 1 registered channel — 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.

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

“Python Codes Basic to Advance” (@Python_Codes_Pro), 2,589 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/Python_Codes_Pro.

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.