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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Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 900 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 279-o'rinni va Hindiston mintaqasida 9 343-o'rinni egallagan.
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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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
40 900
Obunachilar
+324 soatlar
+277 kun
+45530 kun
Postlar arxiv
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
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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
40 900
Repost from Machine Learning with Python
📚 Download 10 Python books for FREE:
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https://t.co/X7y3pX68IW
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https://opendatastructures.org/ods-python.pdf
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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:
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Save this to your favorites, as the list is updated regularly.
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Repost from Udemy Free
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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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