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

Network:Machine Learning with Python India10 482 Technologies & Applications3 496...

📈 Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 39 194 subscribers, ranking 3 496 in the Technologies & Applications category and 10 482 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 39 194 subscribers.

According to the latest data from 11 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 445 over the last 30 days and by 15 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 2.22%. Within the first 24 hours after publication, content typically collects 0.91% reactions from the total number of subscribers.
Post reach: On average, each post receives 870 views. Within the first day, a publication typically gains 358 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“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”

Thanks to the high frequency of updates (latest data received on 12 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

39 194

Subscribers

+1524 hours

+857 days

+44530 days

870

Post views

~ 35824 hours

~ 44548 hours

2.22%

Engagement rate

~ 3

Posts per day

Ads index

beta

Posts Archive

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📚 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

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📚 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

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Repost from Data Science Books

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📚 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

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

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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!

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

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Repost from Machine Learning with Python

📕 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 ⭐️

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

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Repost from Machine Learning with Python

📈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👈

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

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Please 1️⃣0️⃣0️⃣ likes or ⭐️

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

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Repost from Machine Learning with Python

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