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Channel
@easy_python_task
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
9,189subscribers
-28 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1002009639912 |
|---|---|
| Type | Channel |
| Username | @easy_python_task |
| Description | Сайт: https://easyoffer.ru/ Все каналы: t.me/+xGeAw6ckJ4liYzQy Контакт для рекламы: @easyoffer_adv |
| Created | Between 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 20 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 20 August 2026 |
| On Telegram | t.me/easy_python_task |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 20 Aug 2026, 13:42 | 9,189 | +2 |
| 17 Aug 2026, 17:29 | 9,187 | -11 |
| 14 Aug 2026, 10:36 | 9,198 | -7 |
| 10 Aug 2026, 21:53 | 9,205 | -11 |
| 7 Aug 2026, 16:01 | 9,216 | -1 |
| 7 Aug 2026, 13:46 | 9,217 | first reading |
33 posts held, back to 25 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 26 pagesof Telegram’s post history, 20 posts per page.
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 5 of 18 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 20 August 2026 |
|---|---|
| Posts held | 33 (25 June 2026 – 20 August 2026) |
| Views total | 11,474 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Aug 2026, 18:00 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.
Lifetime counters from Telegram’s own channel header, read 22 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
11 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 27.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 3 | 27.3% | |
| 💊 | 3 | 27.3% | |
| 🔥 | 3 | 27.3% | |
| 🤔 | 2 | 18.2% |
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 9 of the 33 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 11reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 33 most recent posts we hold, published 25 June 2026 to 20 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.
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Задача: 100. Same Tree Сложность: easy Даны корни двух бинарных деревьев p и q. Напишите функцию, чтобы проверить, одинаковы ли они. Два бинарных дерева считаются одинаковыми, если они структурно идентичны, и узлы имеют одинаковые значения. Пример: Input: p = [1,2,3], q = [1,2,3] Output: true 👨💻 Алгоритм: 1⃣Проверяем, равны ли оба узла None, если да — возвращаем True 2⃣Если один из узлов None или значения узло…
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Задача: 943. Find the Shortest Superstring Сложность: hard Учитывая массив строк words, верните наименьшую строку, которая содержит каждую строку в words в качестве подстроки. Если существует несколько допустимых строк наименьшей длины, верните любую из них. Вы можете предположить, что ни одна строка в words не является подстрокой другой строки в words. Пример: Input: words = ["alex","loves","leetcode"] Output: "al…
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Задача: 1353. Maximum Number of Events That Can Be Attended Сложность: medium Дан массив событий, где events[i] = [startDayi, endDayi]. Каждое событие i начинается в startDayi и заканчивается в endDayi. Вы можете посетить событие i в любой день d, где startDayi <= d <= endDayi. Вы можете посещать только одно событие в любой момент времени d. Верните максимальное количество событий, которые вы можете посетить. При…
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Задача: 737. Sentence Similarity II Сложность: medium Мы можем представить предложение в виде массива слов, например, предложение "I am happy with leetcode" можно представить как arr = ["I", "am",happy", "with", "leetcode"]. Даны два предложения sentence1 и sentence2, каждое из которых представлено в виде массива строк, и массив пар строк similarPairs, где similarPairs[i] = [xi, yi] указывает, что два слова xi и yi…
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Задача: 423. Reconstruct Original Digits from English Сложность: medium Дана строка s, содержащая неупорядоченное английское представление цифр от 0 до 9, верните цифры в порядке возрастания. Пример: Input: s = "owoztneoer" Output: "012" 👨💻 Алгоритм: 1⃣Подсчитайте количество каждого символа в строке s с помощью хэш-таблицы или массива, чтобы определить количество каждого символа. 2⃣Используйте уникальные символ…
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Задача: 971. Flip Binary Tree To Match Preorder Traversal Сложность: medium Дано корневое дерево с n узлами, где каждому узлу уникально присвоено значение от 1 до n. Также дана последовательность из n значений voyage, которая является желаемым обходом дерева в порядке pre-order. Любой узел в бинарном дереве можно перевернуть, поменяв местами его левое и правое поддеревья. Например, переворот узла 1 будет иметь след…
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Showing the 12 most recent of 33 posts we hold for @easy_python_task. 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.
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.
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 20 August 2026 — this entry's latest reading, not the date you are reading this.
“Python | LeetCode” (@easy_python_task), 9,189 subscribers as measured 20 August 2026. Telegram Register, tgregister.com/channel/easy_python_task.
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.