Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Learn Python Coding
Kanalga Telegram’da o‘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📈 Telegram kanali Learn Python Coding analitikasi
Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 139 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 511-o'rinni va Hindiston mintaqasida 10 584-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 39 139 obunachiga ega bo‘ldi.
06 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 433 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 2.57% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.00% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 004 marta ko‘riladi; birinchi sutkada odatda 393 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 08 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.
39 139
Obunachilar
+1024 soatlar
+887 kunlar
+43330 kunlar
Postlar arxiv
39 140
✨ Quiz: How to Convert Bytes to Strings in Python ✨
📖 Decode bytes into readable strings in Python. Test your skills working with data from files, APIs, and databases.
🏷️ #basics
39 140
✨ Quiz: How to Properly Indent Python Code ✨
📖 Practice proper Python indentation. Take a quiz on using spaces, editor settings, and autoformatting correctly.
🏷️ #basics #best-practices #python
39 140
🚀 Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.me/CodeProgrammer
🔖 Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.me/DataScienceM
🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
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🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
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😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
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💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
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🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://t.me/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
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Admin: @HusseinSheikho
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✨ Exception Handling | Python Best Practices ✨
📖 Guidelines and best practices for handling exceptions and errors in your Python code.
🏷️ #Python
39 140
✨ Functions | Python Best Practices ✨
📖 Guidelines and best practices for writing robust functions in Python.
🏷️ #Python
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OnSpace Mobile App builder: Build AI Apps in minutes
Visit website: https://www.onspace.ai/?via=tg_datas
Or Download app:https://onspace.onelink.me/za8S/h1jb6sb9?c=datas
With OnSpace, you can build website or AI Mobile Apps by chatting with AI, and publish to PlayStore or AppStore.
What will you get:
✔️ Create app or website by chatting with AI;
✔️ Integrate with Any top AI power just by giving order (like Sora2, Nanobanan Pro & Gemini 3 Pro);
✔️ Download APK,AAB file, publish to AppStore.
✔️ Add payments and monetize like in-app-purchase and Stripe.
✔️ Functional login & signup.
✔️ Database + dashboard in minutes.
✔️ Full tutorial on YouTube and within 1 day customer service
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✨ Docstrings | Python Best Practices ✨
📖 Guidelines and best practices that will help you write good docstrings for your Python packages, modules, functions, and classes.
🏷️ #Python
39 140
✨ Distribution | Python Best Practices ✨
📖 Guidelines and best practices for packaging, building, and distributing your Python projects.
🏷️ #Python
39 140
✨ Conditionals | Python Best Practices ✨
📖 Guidelines and best practices for writing reliable conditionals and making decisions in your Python code.
🏷️ #Python
39 140
✨ Comprehensions | Python Best Practices ✨
📖 Guidelines and best practices for leveraging the power of Python comprehensions
🏷️ #Python
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✨ pre-commit | Python Tools ✨
📖 A multi-language framework that installs and runs code quality checks as Git hooks.
🏷️ #Python
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✨ Concurrency | Python Best Practices ✨
📖 Guidelines and best practices for writing concurrent code the right way in Python.
🏷️ #Python
