Learn Python Coding
前往频道在 Telegram
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
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网络:📈 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 40 900 名订阅者，在 技术与应用 类别中位列第 3 279，并在 印度 地区排名第 9 343 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 40 900 名订阅者。
根据 25 十月, 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 455，过去 24 小时变化为 3，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 3.41%。内容发布后 24 小时内通常能获得 1.49% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 1 395 次浏览，首日通常累积 608 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 2。
- 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 26 十月, 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。
40 900
订阅者
+324 小时
+277 天
+45530 天
帖子存档
40 900
In Python 3.15, a single asterisk replaces nested loops. 🐍✨
Previously, to flatten a list, you would write:
rows = [[1, 2], [3], [4, 5]]
flat = [x for row in rows for x in row]flat = [*row for row in rows]
# [1, 2, 3, 4, 5]configs = [
{"debug": False, "timeout": 10},
{"timeout": 30},
]
config = {**part for part in configs}
# {'debug': False, 'timeout': 30}SyntaxError. 🚫
https://peps.python.org/pep-0798/
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Python is the #1 language in AI. 🐍
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😰 15-Hour "Python for Data Science" Course
⚡️ Learn Python for Data Science
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Repost from Machine Learning with Python
https://substack.com/@husseinsheikho?utm_source=share&utm_medium=android&r=3hwnr8
Follow me to more posts and useful content
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Repost from Machine Learning with Python
📚 Download 10 Python books for FREE:
1. Think Python — O’Reilly
https://t.co/X7y3pX68IW
2. The Big Book of Small Python Projects
https://inventwithpython.com/bigbookpython/
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https://opendatastructures.org/ods-python.pdf
4. Data Science Handbook
https://t.co/9aOLdiAbim
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https://wesmckinney.com/book/
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https://allendowney.github.io/ThinkBayes2/
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https://t.co/OHhVgF1L65
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Python Lists: A Quick Reference 🐍
* Definition: Lists are ordered, mutable collections that can contain various data types and duplicates.
* Creating Lists: Creating empty, numerical, mixed, nested lists, and lists with duplicates.
* Accessing List Elements: Accessing elements using positive and negative indexing, as well as slicing with
start:end:step. * Common Operations: Adding, inserting, concatenating, deleting, clearing, searching, sorting, and reversing lists. * List Methods:
append(),
insert(),
extend(),
remove(),
pop(),
clear(),
index(),
count(),
sort(), and
reverse(). * List Comprehension: Quickly creating lists using expressions and conditions. * List vs. Tuple: Differences between mutable lists and immutable tuples. * Important Points: Specifics of indexing, slicing, data types, and working with lists. #Python #Coding #Programming #DataStructures #PythonTips #LearnPython ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
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📱 270 tools for Python developers
The repository contains:
🫡 Linters and formatters;
🫡 Type checkers;
🫡 Testing tools;
🫡 Debugging and profiling tools;
🫡 Package managers;
🫡 Logging tools;
🫡 Security tools;
🫡 Documentation and package building tools.
Save this to your favorites, as the list is updated regularly.
⛓️ Link to the repository
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Repost from Udemy Free
Hands On Python Data Science - Data Science Bootcamp
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Repost from Udemy Free
Python For Beginners Course In-Depth
Python: A Comprehensive Introduction to Fundamental Python Concepts and the Python Advanced Programming Concepts
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