uz
Feedback
Learn Python Coding

Learn Python Coding

Kanalga Telegramโ€™da oโ€˜tish

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

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Learn Python Coding analitikasi

Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 459 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 410-o'rinni va Hindiston mintaqasida 9 967-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 39 459 obunachiga ega boโ€˜ldi.

03 Iyul, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 365 ga, soโ€˜nggi 24 soatda esa 5 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 1.24% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.20% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 489 marta koโ€˜riladi; birinchi sutkada odatda 474 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 2 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œLearn 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_Sheikhoโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 04 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

39 459
Obunachilar
+524 soatlar
+847 kunlar
+36530 kunlar
Postlar arxiv
React Hooks in Action: With Suspense and Concurrent Mode MEAP V3 (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
React Hooks in Action: With Suspense and Concurrent Mode MEAP V3 (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

WordPress 5 Cookbook: Actionable Solutions to Common Problems When Building Websites with WordPress (2020) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

WordPress 5 Cookbook: Actionable Solutions to Common Problems When Building Websites with WordPress (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
WordPress 5 Cookbook: Actionable Solutions to Common Problems When Building Websites with WordPress (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Programming Scala: Scalability = Functional Programming + Objects (2021) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Programming Scala: Scalability = Functional Programming + Objects (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Programming Scala: Scalability = Functional Programming + Objects (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Arduino Workshop, 2nd Edition: A Hands-on Introduction with 65 Projects (2021) PDF Format: https://t.me/DataScience2019/4090 Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Arduino Workshop, 2nd Edition: A Hands-on Introduction with 65 Projects (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Arduino Workshop, 2nd Edition: A Hands-on Introduction with 65 Projects (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Artificial Intelligence A Textbook (2021) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Artificial Intelligence A Textbook (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Artificial Intelligence A Textbook (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

The hundred-page machine learning book (2019) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

The hundred-page machine learning book (2019) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
The hundred-page machine learning book (2019) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

๐Ÿ‘ MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding MMOCR is an open-source toolbox based on
๐Ÿ‘ MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding MMOCR is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition Github: https://github.com/open-mmlab/mmocr Paper: https://arxiv.org/abs/2108.06543v1 Documentation: https://mmocr.readthedocs.io/en/latest/ Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code (2021) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Hands-On Data Visualization: Interactive Storytelling From Spreadsheets to Code (2021) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

โ€‹Grokking Artificial Intelligence Algorithms (2020) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

โ€‹Grokking Artificial Intelligence Algorithms (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
โ€‹Grokking Artificial Intelligence Algorithms (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

โ€‹Machine Learning Engineering (2020) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

โ€‹Machine Learning Engineering (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
โ€‹Machine Learning Engineering (2020) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡

Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI (2017) Invite your friends ๐ŸŒน๐ŸŒน @DataScience_Books

Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI (2017) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡
Practical machine learning with H2O: powerful, scalable techniques for deep learning and AI (2017) ๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡๐Ÿ‘‡