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
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Network:📈 Analytical overview of Telegram channel Learn Python Coding
Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 900 subscribers, ranking 3 279 in the Technologies & Applications category and 9 343 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 900 subscribers.
According to the latest data from 25 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 455 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.41%. Within the first 24 hours after publication, content typically collects 1.49% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 395 views. Within the first day, a publication typically gains 608 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“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”
Thanks to the high frequency of updates (latest data received on 26 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
40 900
Subscribers
+324 hours
+277 days
+45530 days
Posts Archive
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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40 900
Python is the #1 language in AI. 🐍
But you don’t need to learn all of it. (save this) 📌
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40 900
🔥 Free IT & Dev Study Kits – 2026 Prep, No Signup
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40 900
😰 15-Hour "Python for Data Science" Course
⚡️ Learn Python for Data Science
40 900
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
40 900
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/
3. Data Structures
https://opendatastructures.org/ods-python.pdf
4. Data Science Handbook
https://t.co/9aOLdiAbim
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9. Think Bayes
https://allendowney.github.io/ThinkBayes2/
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https://t.co/OHhVgF1L65
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40 900
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
40 900
📱 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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40 900
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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