现已上线！2025 年 Telegram 研究 — 年度关键洞察 
Learn Python Coding
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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho
显示更多📈 Telegram 频道 Learn Python Coding 的分析概览
频道 Learn Python Coding (@pythonre) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 39 123 名订阅者，在 技术与应用 类别中位列第 3 502，并在 印度 地区排名第 10 597 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 39 123 名订阅者。
根据 05 六月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 458，过去 24 小时变化为 21，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 2.68%。内容发布后 24 小时内通常能获得 1.04% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 048 次浏览，首日通常累积 405 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 3。
- 主题关注点： 内容集中在 math, harvard, oxford, supervision, waybienad 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho”
凭借高频更新（最新数据采集于 07 六月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
39 123
订阅者
+2124 小时
+1207 天
+45830 天
帖子存档
39 125
Repost from Machine Learning with Python
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📱 Cheat Sheet for Beautiful Soup 4
Beautiful Soup — a library for extracting data from HTML and XML files, which is perfect for web scraping.
1. Installation
pip install beautifulsoup4from bs4 import BeautifulSoup
import requestshtml_doc = "<html><body><p class='text'>Hello, world!</p></body></html>"
soup = BeautifulSoup(html_doc, 'html.parser') # or 'lxml', 'html5lib'
print(soup.p.text) # Hello, world!# First found element
first_p = soup.find('p')
# Search by class or attribute
text_elem = soup.find('p', class_='text')
text_elem = soup.find('p', {'class': 'text'})
# All elements
all_p = soup.find_all('p')
all_text_class = soup.find_all(class_='text')a_tag = soup.find('a')
print(a_tag['href']) # value of the href attribute
print(a_tag.get_text()) # text inside the tag
print(a_tag.text) # alternative# Moving to parent, children, siblings
parent = soup.p.parent
children = soup.ul.children
next_sibling = soup.p.next_sibling
# Finding the previous/next element
prev_elem = soup.find_previous('p')
next_elem = soup.find_next('div')response = requests.get('https://example.com')
soup = BeautifulSoup(response.text, 'html. parser')
title = soup.title.text
links = [a['href'] for a in soup.find_all('a', href=True)]# More powerful and concise search
items = soup.select('div.content > p.text')
first_item = soup.select_one('a.button')39 125
In Python 3.15, there will be a fully immutable dictionary.
A new public immutable type, frozendict, is added to the builtins module.
It is expected that
frozendict will be "safe by design", because it prevents any unintended changes. This is useful not only for the CPython standard library, but also for third-party maintainers: you can rely on a reliable immutable dictionary type.
Why is this needed at all:
▪️Do you want to use a map as a key in another dict or put it in a set? A regular dict is not allowed, but a frozendict is (if the values are also hashable).
▪️ @functools.lru_cache() and arguments-dictionaries: it's difficult with a dict, but normal with a frozendict.
▪️Defaults in function arguments: instead of a "mutable default", you can give frozendict(...) and not get surprises.
How it looks in the API:
▪️The constructor "like a dict": frozendict(), frozendict(**kwargs), frozendict(mapping) or iterable pairs, plus you can mix with **kwargs.
▪️The order of insertion is preserved (as in a regular dict).
▪️The hash does not depend on the order of elements (logic via frozenset(items)), and the comparison is also based on the content, not on the order.
▪️There is a union via | and an "update" |= (but |= does not mutate the object, but creates a new one).
▪️.copy() in CPython essentially returns the same object (shallow), and if you need deep copying, then copy.deepcopy().
An important point: frozendict is NOT inherited from dict. This is done on purpose, so that you can't bypass the "immutability" by calling dict.__setitem__ and similar tricks.
And a bonus for the stdlib: the authors have marked places where you can replace constant/public maps with frozendict (including where MappingProxyType is now used).
👉 @DataScience439 125
✨ third-party libraries | Python Best Practices ✨
📖 Guidelines and best practices for choosing and using third-party libraries in your Python code.
🏷️ #Python
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✨ Automate Python Data Analysis With YData Profiling ✨
📖 Automate exploratory data analysis by transforming DataFrames into interactive reports with one command from YData Profiling.
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This channels is for Programmers, Coders, Software Engineers.
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Repost from Udemy Free Coupons
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✨ Quiz: Python's tuple Data Type: A Deep Dive With Examples ✨
📖 Practice Python tuples: create, access, and unpack immutable sequences to write safer, clearer code. Reinforce basics and avoid common gotchas. Try the quiz.
🏷️ #intermediate #python
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✨ refactoring | Python Best Practices ✨
📖 Guidelines and best practices for refactoring your Python code.
🏷️ #Python
39 125
✨ Quiz: How to Install Python on Your System: A Guide ✨
📖 In this quiz, you'll test your understanding of how to install or update Python on your computer. With this knowledge, you'll be able to set up Python on various operating systems, including Windows, macOS, and Linux.
🏷️ #basics #python
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✨ How to Install Python on Your System: A Guide ✨
📖 Learn how to install the latest Python version on Windows, macOS, and Linux. Check your version and choose the best installation method for your system.
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