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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 39 190 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 497-o'rinni va Hindiston mintaqasida 10 504-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 39 190 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 445 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 2.22% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.91% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 870 marta ko‘riladi; birinchi sutkada odatda 358 ta ko‘rish yig‘iladi.
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  • Tematik yo‘nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

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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 12 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.

39 190
Obunachilar
+1524 soatlar
+857 kunlar
+44530 kunlar
Postlar arxiv
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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_rRW2scgfRhOTc0https://t.me/Codeprogrammer

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Loading CSV files into a database using Python. 🖥 By: https://t.me/Python53 ⭐️ BEST DATA SCIENCE CHANNELS ON TELEGRAM ⭐️

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_rRW2scgfRhOTc0https://t.me/Codeprogrammer

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A Complete Course to Learn Robotics and Perception Notebook-based book "Introduction to Robotics and Perception" by Frank Del
A Complete Course to Learn Robotics and Perception Notebook-based book "Introduction to Robotics and Perception" by Frank Dellaert and Seth Hutchinson github.com/gtbook/robotics roboticsbook.org/intro.html
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📄 Optimize your Python code with these 14 articles! 📱 If you want to write your Python code faster and more efficiently for
📄 Optimize your Python code with these 14 articles! 📱 If you want to write your Python code faster and more efficiently for data science projects, be sure to have these 14 resources!👇 🏳️‍🌈 How to write clean Python code?➡️ Link 🏳️‍🌈 How do you know if your code is optimized or not? ➡️ Link 🏳️‍🌈 Optimize your code. ➡️ Link 🏳️‍🌈 Remove the rings. ➡️ Link 🏳️‍🌈 Write functions faster with these tips ➡️ Link 🏳️‍🌈 Speed ​​up your code with caching ➡️ Link 🏳️‍🌈 Make the most of Pandas. ➡️ Link 🏳️‍🌈 Don't loop over the DataFrame. ➡️ Link 🏳️‍🌈 Choose the right data. ➡️ Link 🏳️‍🌈 Use groupby professionally. ➡️ Link 🏳️‍🌈 Know these 20 Pandas functions. ➡️ Link 🏳️‍🌈 Data Insight with Pandas Profiling ➡️ Link 🏳️‍🌈 Make Pandas 1000x faster ➡️ Link 🏳️‍🌈 Don't make these 10 Pandas mistakes. ➡️ Link 👨‍💻 Link to access article notebooks:👇 🖥 GitHub-Repos ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

Open Guide to Data Structures and Algorithms A must-read for anyone starting their journey in computer science and programmin
Open Guide to Data Structures and Algorithms A must-read for anyone starting their journey in computer science and programming. This open-access book offers a clear, beginner-friendly introduction to the core concepts of data structures and algorithms, with simple explanations and practical examples. Whether you're a student or a self-learner, this guide is a solid foundation to build your DSA knowledge. Highly recommended for those who want to learn efficiently and effectively. Read it here: https://pressbooks.palni.org/anopenguidetodatastructuresandalgorithms #DSA #Algorithms #DataStructures #ProgrammingBasics #CSforBeginners #OpenSourceLearning #CodingJourney #TechEducation #ComputerScience #PythonBeginners ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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💥 Here is an amazing Python cheat sheet for you all! #python #cheatsheet ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟
💥 Here is an amazing Python cheat sheet for you all! #python #cheatsheet ⚡️ BEST DATA SCIENCE CHANNELS ON TELEGRAM 🌟

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20 Most Common Magic Methods in Python OOP https://t.me/Python53 ⚡️
20 Most Common Magic Methods in Python OOP https://t.me/Python53 ⚡️

📖 100 Essential Data Science Interview Questions 👨🏻‍💻 Preparing for a data science interview?
Reviewing fundamental questions is one of the best strategies for success. During the interview, it's crucial to communicate clearly and simply—especially when explaining complex models and data. These 100 carefully selected questions will not only help you impress your interviewer but also boost your confidence throughout the interview process.
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