Channel
@the_daily_python
On this record: Growth · Engagement · Reactions · Posts · Handles named that no longer answer · Cite this entry
52subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002236046597 |
|---|---|
| Type | Channel |
| Username | @the_daily_python |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 2 times, most recently 29 August 2026 |
| On Telegram | t.me/the_daily_python |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 21 Aug 2026, 15:39 | 52 | -2 |
| 10 Aug 2026, 09:00 | 54 | no change |
| 7 Aug 2026, 14:14 | 54 | first reading |
20 posts held, back to 24 February 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 13 March 2025. An engagement rate over an empty window would be a number about nothing.
13 reactions across 13 posts, in 2 distinct kinds. The most used accounts for 84.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 11 | 84.6% | |
| 🔥 | 2 | 15.4% |
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 13 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 13reactions 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 24 February 2025 to 13 March 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.
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Uplink позволяет объявлять API-клиенты в декларативном стиле, преобразуя Python-классы и методы в HTTP-запросы. Это значительно упрощает работу с REST API. import uplink from uplink import Query, Path, Body, json import requests from typing import List, Dict, Any, Optional # Определение модели данных для типизации class Post: def __init__(self, id: int, title: str, body: str, userId: int): self.id = id …
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PyO3 позволяет интегрировать высокопроизводительный код на Rust в ваши Python-приложения, достигая огромного прироста производительности для критичных участков. # Пример использования Rust-функции в Python import time import numpy as np from rust_module import fibonacci_rust # Подключаем Rust-модуль # Реализация на чистом Python для сравнения def fibonacci_python(n: int) -> int: if n <= 1: return n r…
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Memcached — легковесное, высокопроизводительное решение для кэширования данных в оперативной памяти, которое может значительно ускорить ваши приложения.import pymemcache import time import json from functools import wraps # Настройка клиента Memcached client = pymemcache.client.base.Client(('localhost', 11211)) # Сериализатор для сложных типов данных class JSONSerde: def serialize(self, key, value): if is…
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Pytest делает тестирование Python-кода удобным и эффективным. Рассмотрим продвинутые техники для сокращения дублирования и повышения читаемости тестов. import pytest from datetime import datetime, timedelta # Функция, которую будем тестировать def is_valid_date_range(start_date, end_date, max_days=30): """Проверяет, что диапазон дат не превышает max_days и end_date > start_date""" if not isinstance(start_dat…
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Django ORM отлично работает в экосистеме Django, но иногда SQLAlchemy предлагает больше гибкости. Рассмотрим плюсы и минусы миграции, а также базовый пример перехода. # Django ORM модель from django.db import models class User(models.Model): username = models.CharField(max_length=100, unique=True) email = models.EmailField(unique=True) is_active = models.BooleanField(default=True) created_at = models.…
Beautiful Soup 4 позволяет эффективно парсить и извлекать данные из HTML с помощью CSS-селекторов, что значительно упрощает веб-скрапинг. import requests from bs4 import BeautifulSoup # Получаем HTML страницы url = "https://python.org/events/" response = requests.get(url) html = response.text # Создаем объект BeautifulSoup soup = BeautifulSoup(html, 'html.parser') # Использование CSS-селекторов для извлечения данных…
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Pydantic v2 позволяет проверять и преобразовывать данные с помощью аннотаций типов Python, обеспечивая производительность и типобезопасность. from pydantic import BaseModel, Field, EmailStr, ValidationError, field_validator from typing import List, Optional from datetime import datetime class User(BaseModel): id: int name: str = Field(..., min_length=2, max_length=50) email: EmailStr tags: List[str] =…
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Showing the 12 most recent of 20 posts we hold for @the_daily_python. 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_daily_python named 5 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 21 August 2026 — this entry's latest reading, not the date you are reading this.
“Ежедневный Python” (@the_daily_python), 52 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/the_daily_python.
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.