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Learn Python Coding

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 39 314 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 457-o'rinni va Hindiston mintaqasida 10 110-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 24 Iyun, 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.

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Postlar arxiv
Cheat sheet on Python Data Types 🐍 Python Data Types — the main data types in Python. 🔢 Numbers — numerical types (int, float, complex) ⚖️ Bool — logical values (True, False) 📝 String — text strings 📋 List — mutable ordered collections 🔒 Tuple — immutable ordered collections 🎲 Set — unique unordered elements 🗂️ Dict — collections of "key-value" pairs. Helps to quickly orient yourself in data types and choose the appropriate structure for storing information 💡 #Python #DataScience #Coding #Programming #Tech #Learning ✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk ⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A 🚀 Level up your AI & Data Science skills with HelloEncyclo — a growing all-in-one platform featuring hands-on courses in LLMs, Deep Learning, MLOps, Data Engineering, and more. ✅ 13 courses live + 40+ coming soon 🎯 One access, lifetime updates 🔑 Use code: PRESALE-BOOK-WAVE-2GFG 👉 https://helloencyclo.com/?ref=HUSSEINSHEIKHO

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When applying multiple filters to a series in Pandas, it's better to break the condition into several lines:
s = pd.Series([10, 15, 20, 25, 30])

s.loc[
    (s > 20) &
    (s % 2 == 1)
]
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