Channel
@Python_No_Panicc
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
1,905subscribers
-2 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001575410207 |
|---|---|
| Type | Channel |
| Username | @Python_No_Panicc |
| Created | Between 1 August 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 15 August 2026 |
| On Telegram | t.me/Python_No_Panicc |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 04:02 | 1,905 | -2 |
| 8 Aug 2026, 19:00 | 1,907 | no change |
| 8 Aug 2026, 07:16 | 1,907 | first reading |
20 posts held, back to 2 March 2025 — the 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 9 April 2025. An engagement rate over an empty window would be a number about nothing.
31 reactions across 15 posts, in 3 distinct kinds. The most used accounts for 77.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 24 | 77.4% | |
| ❤ | 4 | 12.9% | |
| 👍 | 3 | 9.68% |
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 31reactions 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 2 March 2025 to 9 April 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
💥 Как избежать ошибки при делении на 0? Используем try/except! При делении на ноль Python вызывает ошибку ZeroDivisionError. Чтобы программа не "падала", можно использовать try/except. 💡 Пример использования: try: result = 10 / 0 except ZeroDivisionError: result = "На ноль делить нельзя!" print(result) Результат: На ноль делить нельзя! 🔥 Плюсы try/except: Позволяет обрабатывать ошибки без краша програ…
❤2👍1
🔁 Как "распаковать" список в переменные? В Python можно легко распаковать элементы списка или кортежа прямо в переменные — это удобно и читаемо! 💡 Пример использования: data = ["Alice", 25, "Developer"] name, age, profession = data print(name) print(age) print(profession) Результат: Alice 25 Developer 🔥 Дополнительно: Можно использовать * для сбора "лишних" элементов: a, *middle, b = [1, 2, 3, 4, 5] print(a)…
🧙♂️ Как найти самый частый элемент в списке? Counter()! Если нужно найти, какой элемент встречается чаще всего, используйте collections.Counter(). 💡 Пример использования: from collections import Counter numbers = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4] counter = Counter(numbers) most_common = counter.most_common(1) # Найти самый частый элемент print(most_common) Результат: [(4, 4)] 🔥 Как это работает? Counter(number…
👍1🔥1
🔍 Как проверить тип переменной? type() vs isinstance() В Python есть два способа узнать, какого типа переменная: 1️⃣ type() показывает точный тип объекта. 2️⃣ isinstance() проверяет, является ли объект экземпляром класса (включая наследников). 💡 Пример использования type(): x = 42 print(type(x)) # <class 'int'> 💡 Пример использования isinstance(): x = 42 print(isinstance(x, int)) # True print(isinstance(x, (f…
❤1🔥1
📝 Как соединить список строк в одну строку? join() в помощь! Вместо сложных циклов используйте join() для быстрого объединения списка строк в одну. 💡 Пример использования: ьwords = ["Python", "—", "лучший", "язык!"] sentence = " ".join(words) print(sentence) Результат: Python — лучший язык! 🔥 Дополнительные возможности: ", ".join(words) → объединяет с запятой "".join(words) → объединяет без пробелов 💡 Пример с…
🔢 Как быстро создать список чисел? range() + list()! Если вам нужно создать список чисел от X до Y, не обязательно писать циклы! Используйте range(). 💡 Пример использования: numbers = list(range(1, 11)) # Числа от 1 до 10 print(numbers) Результат: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 🔥 Дополнительные возможности: range(1, 11, 2) — создаст список [1, 3, 5, 7, 9] (с шагом 2) range(10, 0, -1) — создаст список [10, 9, 8,…
👍1🔥1
🎲 Как выбрать случайный элемент из списка? random.choice()! Вместо сложных random.randint() + индексов, можно использовать random.choice() для быстрого выбора случайного элемента! 💡 Пример использования: import random fruits = ["🍎 яблоко", "🍌 банан", "🍒 вишня", "🍉 арбуз"] random_fruit = random.choice(fruits) print(random_fruit) Результат (пример): 🍌 банан 🔥 Дополнительно: random.choices() — выбирает несколько…
❤1🔥1
🔄 Как развернуть словарь (ключи <-> значения)? Иногда нужно поменять местами ключи и значения в словаре. В Python это делается в одну строку с помощью dictionary comprehension! 💡 Пример использования: data = {"apple": 1, "banana": 2, "cherry": 3} reversed_data = {v: k for k, v in data.items()} print(reversed_data) Результат: {1: 'apple', 2: 'banana', 3: 'cherry'} 🔥 Где это полезно? При обработке данных (напри…
🔢 Как создать список чисел без циклов? range() + list()! Хотите создать список чисел от 1 до 10 в одну строку? Используйте range() и list()! 💡 Пример использования: numbers = list(range(1, 11)) print(numbers) Результат: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] 🔥 Дополнительно: range(1, 11, 2) — шаг 2 (1, 3, 5...) range(10, 0, -1) — обратный порядок (10, 9, 8...) 💡 Создадим список квадратов чисел: squares = [x**2 fo…
🔥1
🕵️ Как узнать, сколько раз встречается элемент в списке? Counter в помощь! Если вам нужно подсчитать количество повторений элементов в списке, используйте collections.Counter. Это удобный способ работы со словарями частот. 💡 Пример использования: from collections import Counter numbers = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4] counted = Counter(numbers) print(counted) Результат: Counter({4: 4, 3: 3, 2: 2, 1: 1}) 🔥 За…
🔥2
🎯 Используем any() и all() для проверки условий в списке Функции any() и all() позволяют быстро проверить выполняется ли хотя бы одно или все условия в списке. 💡 Пример использования any() (хотя бы одно True): numbers = [0, 0, 1, 0] if any(numbers): print("В списке есть хотя бы одно ненулевое число!") Результат: В списке есть хотя бы одно ненулевое число! 💡 Пример использования all() (все True): numbers = […
🔥1
🔄 Как перевернуть строку или список в одну строку? В Python можно развернуть строку или список с помощью срезов [::-1]. Это быстрый и лаконичный способ! 💡 Переворачиваем строку: text = "Python" reversed_text = text[::-1] print(reversed_text) Результат: nohtyP 💡 Переворачиваем список: pythonКопироватьРедактироватьnumbers = [1, 2, 3, 4, 5] reversed_numbers = numbers[::-1] print(reversed_numbers) Результат: [5, …
🔥2
Showing the 12 most recent of 20 posts we hold for @Python_No_Panicc. 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 — 618,737 of 1,350,102entries 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.
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.
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.
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_No_Panic” (@Python_No_Panicc), 1,905 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Python_No_Panicc.
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.