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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 40 873 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 292-o'rinni va Hindiston mintaqasida 9 353-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 40 873 obunachiga ega bo‘ldi.

28 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 351 ga, so‘nggi 24 soatda esa -15 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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  • Jalb etish (ER): Auditoriya o‘rtacha 4.54% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.43% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 854 marta ko‘riladi; birinchi sutkada odatda 586 ta ko‘rish yig‘iladi.
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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 29 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.

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✨ fnmatch | Python Standard Library ✨ 📖 Provides tools for Unix shell-style wildcard pattern matching against filename strings. 🏷️ #Python

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GitHub repositories to enhance your Python proficiency: - Web development with Django — https://github.com/django/django - Da
GitHub repositories to enhance your Python proficiency: - Web development with Django — https://github.com/django/django - Data Science tools — https://github.com/rasbt/python-machine-learning-book - Algorithmic challenges — https://github.com/TheAlgorithms/Python - Machine learning recipes — https://github.com/ageron/handson-ml2 - Testing best practices — https://github.com/pytest-dev/pytest - Automation scripts — https://github.com/soimort/you-get - Advanced Python concepts — https://github.com/faif/python-patterns Bookmark and share https://t.me/CodeProgrammer 🌟

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 Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 AI coding agents come in four types: IDE, terminal, PR, and c
✨ AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 AI coding agents come in four types: IDE, terminal, PR, and cloud. Learn how each workflow fits into modern Python development. 🏷️ #intermediate #ai

✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 Check your understanding of how AI coding agents fit in
✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 Check your understanding of how AI coding agents fit into your workflow through four interaction modes: IDE, terminal, pull request, and cloud. 🏷️ #intermediate #ai

✨ fileinput | Python Standard Library ✨ 📖 Provides tools for iterating over lines from multiple input files or standard input, with support for in-place file editing. 🏷️ #Python

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

✨ Real Python Merchandise ✨ 📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers. �
✨ Real Python Merchandise ✨ 📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers. 🏷️ #Python

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Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is
Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉 Mint your Lobster on Getgems 🦞🦞🦞

✨ filecmp | Python Standard Library ✨ 📖 Provides tools for comparing files and directory trees, with a caching layer for efficiency and a dircmp class for recursive directory analysis. 🏷️ #Python

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