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Старый питон 💻🐍

@StarikPiton

On this record: Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

1subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001594808401
TypeChannel
Username@StarikPiton
DescriptionМне за 40 и я изучаю Python "с нуля". Пробую разные онлайн-курсы. YouTube - https://youtube.com/channel/UCBOXLes16ebtTrsmcRvwemQ
CreatedBetween 1 August 2021 and 30 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded14 August 2026
Last confirmed live17 September 2026
Measurements held2
On Telegramt.me/StarikPiton

Growth

17 August 2026 — 1 subscribers14 August 2026 — 1 subscribers7 August 202614 August 2026
2 measurements spanning 7 days. 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”.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 11:121no change
7 Aug 2026, 04:431first reading

Engagement

20 posts held, back to 30 October 2021the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of 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 11 March 2022. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Photos
5
Links
14

Lifetime counters from Telegram’s own channel header, read 14 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.

Recent posts

10 Dec 2021, 10:49 UTC18 viewsread 14 August 2026
Forwarded from @tproger_web

​Визуализация данных с помощью веб-фреймворка Dash Dash является довольно интересным веб-фреймворком для визуализации данных и имеет в себе довольно много полезных функций в сочетании с простотой их применения. В этой статье вы узнаете о некоторых его возможностях, которые вам могут быть интересны: https://tprg.ru/mxg0

10 Dec 2021, 10:48 UTC16 viewsread 14 August 2026
Forwarded from @zen_of_python

Полезный репозиторий The Algorithms — Python Этот репозиторий содержит почти все алгоритмы, которые вам когда-либо могут понадобиться. Вы даже можете установить этот репозиторий как пакет, используя pip install algorithms: https://tprg.ru/3ctJ

30 Nov 2021, 03:49 UTC15 viewsread 14 August 2026
Photo

Изучаем pandas + исходный код примеров Библиотека pandas – популярный пакет для анализа и обработки данных на языке Python. Он предлагает эффективные, быстрые, высокопроизводительные структуры данных, которые позволяют существенно упростить работу. Данная книга познакомит вас с обширным набором инструментов, предлагаемых библиотекой pandas, – начиная с обзора загрузки данных с удаленных источников, выполнения числен

21 Nov 2021, 20:23 UTC11 viewsread 14 August 2026
Forwarded from @zen_of_python

​Продвинутый Visual Studio Code для разработчиков Python Из этого руководства вы узнаете, как настроить, расширить и оптимизировать VS Code для более эффективной и продуктивной разработки на Python. После изучения этого руководства у вас будет множество инструментов, которые помогут вам более эффективно использовать VS Code. https://tprg.ru/UENS #vscode

19 Nov 2021, 06:31 UTC9 viewsread 14 August 2026
Forwarded from @devs_storagePhoto

Работа с PostgreSQL: настройка и масштабирование. 5-е издание Автор: А. Ю. Васильев Год: 2017 #books #sql #русский

19 Nov 2021, 06:31 UTC7 viewsread 14 August 2026
Forwarded from @devs_storageFile

File, posted without a caption

17 Nov 2021, 04:30 UTC6 viewsread 14 August 2026

Смотрите "Как стать data scientist || План обучения на 6 месяцев (бесплатные курсы на русском)" на YouTube https://youtu.be/w-IdSp_mQuM

14 Nov 2021, 16:12 UTC6 viewsread 14 August 2026

Смотрите "Карьера в data science - профессии" на YouTube https://youtu.be/_jlcfR_GXE0

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

Forward network

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

“Старый питон 💻🐍” (@StarikPiton), 1 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/StarikPiton.

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.