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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 39 118 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 502-o'rinni va Hindiston mintaqasida 10 597-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 118 obunachiga ega bo‘ldi.

05 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 458 ga, so‘nggi 24 soatda esa 21 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Jalb etish (ER): Auditoriya o‘rtacha 2.68% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.04% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 048 marta ko‘riladi; birinchi sutkada odatda 405 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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 06 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.

39 118
Obunachilar
+2124 soatlar
+1207 kunlar
+45830 kunlar
Postlar arxiv
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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

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🚀 AI System Builders — finally something serious. A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B AI pla
🚀 AI System Builders — finally something serious. A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B AI platform on April 2026. This is NOT: ❌ a freelance marketplace ❌ an agency network This is: ✅ a verified AI builder network If you're accepted, you can offer your AI systems (e.g. Lead Gen, Customer Support, Recruiting Automation) for ~$2,499 setup + monthly maintenance. 👉 You focus on building systems 👉 Brainlancer handles clients & takes 20% --- 💡 If you can build real, end-to-end AI systems (not just prompts), this is for you. --- ⚡ Apply here (form takes 5–7 min): https://assesment.brainlancer.com/?src=tinvite 🎥 Quick overview video (thumbs up 👍): https://www.youtube.com/watch?v=jwhxqB-idsg&t=1s 👤 CEO (LinkedIn): https://www.linkedin.com/in/soner-catakli/ --- Early access is limited.

✨ Quiz: Linked Lists in Python: An Introduction ✨ 📖 Learn Python linked lists, deques, and circular & doubly linked structur
Quiz: Linked Lists in Python: An Introduction ✨ 📖 Learn Python linked lists, deques, and circular & doubly linked structures with practical examples and efficient operations. 🏷️ #intermediate #data-structures

builtins | Python Standard Library ✨ 📖 Provides direct access to all built-in identifiers, including functions, types, exceptions, and constants, primarily useful when a built-in name has been shadowed. 🏷️ #Python

Python Tip: Operator Overloading This is a very important concept in Python.
Have you ever wondered how #Python understands what the + operator means? For numbers, it's addition; for strings, it's concatenation; for lists, it's union. This is operator overloading in action. Operator overloading means defining special behavior for operators (+, -, *, ==, etc.) in your user-defined classes. You determine how these operators should work with your objects.
 👉 https://t.me/Python53

✨ Quiz: Speed Up Python With Concurrency ✨ 📖 Test your Python concurrency knowledge: CPU vs I/O-bound tasks, GIL, asyncio, r
Quiz: Speed Up Python With Concurrency ✨ 📖 Test your Python concurrency knowledge: CPU vs I/O-bound tasks, GIL, asyncio, race conditions, and multiprocessing. 🏷️ #advanced #best-practices

bz2 | Python Standard Library ✨ 📖 Provides support for compressing and decompressing data using the bzip2 algorithm. 🏷️ #Python

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✨ Quiz: Splitting, Concatenating, and Joining Python Strings ✨ 📖 Brush up on splitting, concatenating, and joining strings i
Quiz: Splitting, Concatenating, and Joining Python Strings ✨ 📖 Brush up on splitting, concatenating, and joining strings in Python. Test your understanding of methods, immutability, and common pitfalls. 🏷️ #basics #python

✨ Quiz: How to Use Ollama to Run Large Language Models Locally ✨ 📖 Test your knowledge of running LLMs locally with Ollama.
Quiz: How to Use Ollama to Run Large Language Models Locally ✨ 📖 Test your knowledge of running LLMs locally with Ollama. Install it, pull models, chat, and connect coding tools from your terminal. 🏷️ #intermediate #ai #tools

✨ Quiz: Your Python Coding Environment on Windows: Setup Guide ✨ 📖 Test your knowledge of setting up a Python dev environmen
Quiz: Your Python Coding Environment on Windows: Setup Guide ✨ 📖 Test your knowledge of setting up a Python dev environment on Windows, from updates and terminals to paths, tools, and WSL. 🏷️ #basics #tools

cmath | Python Standard Library ✨ 📖 Provides mathematical functions for complex numbers, including power, logarithmic, trigonometric, hyperbolic, and polar coordinate conversions. 🏷️ #Python

✨ How to Use Ollama to Run Large Language Models Locally ✨ 📖 Learn how to use Ollama to run large language models locally. I
How to Use Ollama to Run Large Language Models Locally ✨ 📖 Learn how to use Ollama to run large language models locally. Install it, pull models, and start chatting from your terminal without needing API keys. 🏷️ #intermediate #ai #tools