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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 39 194 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 496-o'rinni va Hindiston mintaqasida 10 482-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 194 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.

  • Tasdiqlash holati: Tasdiqlanmagan
  • 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.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 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 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.

39 194
Obunachilar
+1524 soatlar
+857 kunlar
+44530 kunlar
Postlar arxiv
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Repost from Data Science Books
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Count Files and Folders using Python 🖥 https://t.me/DataScience4 ✅
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👩‍💻 Pythonic Data Structures and Algorithms: algorithms 🖥 Github https://t.me/DataScience4 ✅
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👩‍💻 TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers fro
👩‍💻 TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers from all over the world contribute with various algorithms used in computer science, mathematics, and data science. 🔍 The repository includes hundreds of algorithm implementations in various categories, such as: 🌟 Sorting and searching (e.g. quicksort, binary search). 🌟 Data structures (e.g. trees, graphs, queues). 🌟 Graph algorithms (e.g. depth-first search, breadth-first search). 🌟 Cryptography (e.g. encryption, hashing). 🌟 Machine learning algorithms and many more! 💡 The goal of the project is to offer a learning resource where developers can learn and understand how different algorithms work. Each algorithm is accompanied by code examples, and many of them have detailed explanations. 🔐 License: MIT 👍 Github https://t.me/DataScience4

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