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Channel

Coding Projects

@Programming_experts

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

67,200subscribers

+86 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-1001580025810
TypeChannel
Username@Programming_experts
DescriptionChannel specialized for advanced concepts and projects to master: * Python programming * Web development * Java programming * Artificial Intelligence * Machine Learning Managed by: @love_data
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 held7
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Programming_experts

Growth

67,11467,20067,1576 August 2026 — 67,114 subscribers7 August 2026 — 67,129 subscribers8 August 2026 — 67,132 subscribers9 August 2026 — 67,144 subscribers10 August 2026 — 67,170 subscribers11 August 2026 — 67,188 subscribers12 August 2026 — 67,200 subscribers6 August 202612 August 2026
7 measurements spanning 6 days, net +86. 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 67,101–67,213 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 08:2267,200+12
11 Aug 2026, 10:1567,188+18
10 Aug 2026, 10:0167,170+26
9 Aug 2026, 11:3167,144+12
8 Aug 2026, 13:1767,132+3
7 Aug 2026, 14:1167,129+15
6 Aug 2026, 14:3567,114first reading

Engagement

34 posts held, back to 25 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 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.32%
avg views ÷ 67,200 subscribers
Avg views / post
1,560
33 posts measured
Reaction rate
0.254%
reactions ÷ views · ER floor
Posts in window
34
of 34 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 25 of 33 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 12 August 2026
Posts held34 (25 July 202612 August 2026)
Views total51,431
Reactions total99
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 19:09 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
869
Videos
2
Links
497

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

99 reactions across 25 posts, in 2 distinct kinds. The most used accounts for 99.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
9899.0%
🥰11.01%

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 25 of the 34 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 99reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 34 most recent posts we hold, published 25 July 2026 to 12 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

12 Aug 2026, 11:27 UTC502 views1 reactionsread 12 August 2026

List of Top 12 Coding Channels on WhatsApp: 1. Python Programming: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L 2. Coding Resources: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17 3. Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 4. Coding Interviews: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X 5. Java Programming: https://whatsapp.com/channel/0029VamdH5mHAdN

1

11 Aug 2026, 06:54 UTC≈1,040 views2 reactionsread 12 August 2026
Photo

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2

10 Aug 2026, 12:04 UTC≈1,320 views2 reactionsread 12 August 2026
Photo

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2

10 Aug 2026, 12:03 UTC≈1,000 views2 reactionsread 12 August 2026

An LRU Cache removes the item that has not been used for the longest time when the cache reaches its capacity. A common implementation uses: • Hash Map for O(1) lookup. • Doubly Linked List for O(1) insertion and removal. Time Complexity: • Get: O(1) • Put: O(1) 2️⃣0️⃣0️⃣ How Would You Design a URL Shortener? Answer: A URL shortener converts a long URL into a short, unique URL. Example: Long URL: https://e

2

10 Aug 2026, 12:03 UTC801 views1 reactionsread 12 August 2026

🚀 Coding Interview Questions with Answers (Part 20) 1️⃣9️⃣1️⃣ What is the Two Sum Problem? Answer: The Two Sum problem asks you to find two elements in an array whose sum equals a given target. Example: Input: [2][7][11][15] Target: 9 Output: [2][7] A Hash Map can be used to store previously seen values and find the required complement efficiently. Time Complexity: O(n) Space Complexity: O(n) 1️⃣9️⃣2️⃣ Wha

1

10 Aug 2026, 05:06 UTC878 viewsread 12 August 2026
Photo

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9 Aug 2026, 06:39 UTC≈1,210 viewsread 12 August 2026
Photo

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8 Aug 2026, 21:12 UTC≈1,180 views7 reactionsread 12 August 2026

Time Complexity: O(n + m) Space Complexity: O(n + m) 1️⃣8️⃣9️⃣ How Do You Check if Two Strings are Anagrams? Answer: Two strings are anagrams if they contain the same characters with the same frequencies, but possibly in a different order. Example: "listen" → "silent" Both contain the same characters, so they are anagrams. Python: str1 = "listen" str2 = "silent" if sorted(str1) == sorted(str2): print("A

7

8 Aug 2026, 21:12 UTC≈1,010 views3 reactionsread 12 August 2026

🚀 Coding Interview Questions with Answers (Part 19) 1️⃣8️⃣1️⃣ How Do You Reverse a String? Answer: Reversing a string means arranging its characters in the opposite order. Example: Input: "hello" Output: "olleh" Python: text = "hello" reversed_text = text[::-1] print(reversed_text) Time Complexity: O(n) Space Complexity: O(n) 1️⃣8️⃣2️⃣ How Do You Find the Largest Element in an Array? Answer: Traverse th

3

8 Aug 2026, 09:12 UTC≈1,080 views1 reactionsread 12 August 2026
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1

7 Aug 2026, 11:12 UTC≈1,390 views2 reactionsread 12 August 2026
Photo

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2

Showing the 12 most recent of 34 posts we hold for @Programming_experts. 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 — 153,990 of 1,151,006entries 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 9 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.

Great Learning Academy
@GreatLearningAcademy · 157,583
Telegram ranks this channel #13 of 83 here — alongside 82 others — read 12 August 2026
Tricky Man
@Trickyman2 · 155,283
Telegram ranks this channel #14 of 57 here — alongside 56 others — read 12 August 2026
Coders World
@codersworld1 · 151,181
Telegram ranks this channel #16 of 83 here — alongside 82 others — read 12 August 2026
Linkedin Learning
@linkedin_learning · 218,111
Telegram ranks this channel #22 of 65 here — alongside 64 others — read 11 August 2026
TheSanskaarSingh
@codeslearningTG · 269,931
Telegram ranks this channel #26 of 84 here — alongside 83 others — read 11 August 2026
TCW - AI & Coding Resources 🚀👨‍💻
@the_coding_wizard · 182,622
Telegram ranks this channel #41 of 89 here — alongside 88 others — read 12 August 2026
Arsh Goyal : Youtube
@goyalarsh · 194,708
Telegram ranks this channel #43 of 69 here — alongside 68 others — read 11 August 2026
Placement Lelo
@PLACEMENTLELO · 156,910
Telegram ranks this channel #53 of 77 here — alongside 76 others — read 12 August 2026
Krishan Kumar - Jobs & Internships Updates
@jobs_and_internships_updates · 199,664
Telegram ranks this channel #62 of 82 here — alongside 81 others — read 11 August 2026
Work4freshers - Job Updates
@work4freshers · 148,279
Telegram ranks this channel #75 of 90 here — alongside 89 others — read 12 August 2026

This channel appears in 10 seed channels' Telegram-generated recommendation lists 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.

“Coding Projects” (@Programming_experts), 67,200 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Programming_experts.

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.