ar
Feedback
Learn Python Coding

Learn Python Coding

الذهاب إلى القناة على Telegram

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

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Learn Python Coding

تُعد قناة Learn Python Coding (@pythonre) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 39 194 مشتركاً، محتلاً المرتبة 3 496 في فئة التكنولوجيات والتطبيقات والمرتبة 10 482 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 39 194 مشتركاً.

بحسب آخر البيانات بتاريخ 11 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 445، وفي آخر 24 ساعة بمقدار 15، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.22‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.91‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 870 مشاهدة. وخلال اليوم الأول يجمع عادةً 358 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 4.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل math, harvard, oxford, supervision, waybienad.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
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

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 12 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

39 194
المشتركون
+1524 ساعات
+857 أيام
+44530 أيام
أرشيف المشاركات
📚 Advanced Python Automation (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/
📚 Advanced Python Automation (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2106 💬 Tags: #python USEFUL CHANNELS FOR YOU

📚 The Internet of Things Explained (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https:/
📚 The Internet of Things Explained (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2102 💬 Tags: #IOT USEFUL CHANNELS FOR YOU

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

Repost from Data Science Books
⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

📚 Mastering Python Algorithms (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me
📚 Mastering Python Algorithms (2024) 1⃣ Join Channel Download: https://t.me/+MhmkscCzIYQ2MmM8 2⃣ Download Book: https://t.me/c/1854405158/2096 💬 Tags: #Algorithms USEFUL CHANNELS FOR YOU

I highly recommend downloading the app, there is a solid guide to mastering AI.

Hey guys, As you all know, the purpose of this community is to share notes and grow together. Hence, today I am sharing with you an app called DevBytes. It keeps you updated about dev and tech news. This brilliant app provides curated, bite-sized updates on the latest tech news/dev content. Whether it’s new frameworks, AI breakthroughs, or cloud services, DevBytes brings the essentials straight to you. If you're tired of information overload and want a smarter way to stay informed, give DevBytes a try. Download here: https://play.google.com/store/apps/details?id=com.candelalabs.devbytes&hl=en-IN It’s time to read less and know more!

Count Files and Folders using Python 🖥 https://t.me/DataScience4 ✅
Count Files and Folders using Python 🖥 https://t.me/DataScience4

📕 Python Basics Made Simple! 📷 Course: AI Python for Beginners 👨‍💻 Instructor: Andrew Ng In the #AIPythonforBeginners cou
📕 Python Basics Made Simple! 📷 Course: AI Python for Beginners 👨‍💻 Instructor: Andrew Ng In the #AIPythonforBeginners course series you'll learn how to identify strings, integers, and floats with the type() function, and build a solid Python foundation for your AI journey. Enroll Free: https://learn.deeplearning.ai/courses/ai-python-for-beginners 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses #Transformer http://t.me/codeprogrammer ⭐️

Screen recorder using Python https://t.me/DataScience4 ✅
Screen recorder using Python https://t.me/DataScience4

📈How to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market!
📈How to make $15,000 in a month in 2024? Easy!!! Lisa is now the hippest trader who is showing crazy results in the market! She was able to make over $15,000 in the last month! ❗️ Right now she has started a marathon on her channel and is running it absolutely free. 💡 To participate in the marathon, you will need to : 1. Subscribe to the channel SIGNALS BY LISA TRADER 📈 2. Write in private messages : “Marathon” and start participating! 👉CLICK HERE👈

⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner

👩‍💻 Pythonic Data Structures and Algorithms: algorithms 🖥 Github https://t.me/DataScience4 ✅
👩‍💻 Pythonic Data Structures and Algorithms: algorithms 🖥 Github https://t.me/DataScience4

⚠ Message was hidden by channel owner

Please 1️⃣0️⃣0️⃣ likes or ⭐️

👩‍💻 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

20 Python Libraries You Aren't Using But Should 📕 Book https://t.me/DataScience4 ✅
20 Python Libraries You Aren't Using But Should 📕 Book https://t.me/DataScience4

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️
Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️