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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 India9 164 Technologies & Applications3 287...

📈 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 40 875 subscribers, ranking 3 287 in the Technologies & Applications category and 9 164 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 875 subscribers.

According to the latest data from 29 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 336 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 5.33%. Within the first 24 hours after publication, content typically collects 1.52% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 179 views. Within the first day, a publication typically gains 622 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 3.
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 30 October, 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.

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40 875

Subscribers

+124 hours

-497 days

+33630 days

2 179

Post views

~ 62224 hours

~ 96248 hours

5.33%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 874

✨ pyenv | Python Tools ✨ 📖 A command-line tool for managing multiple Python versions. 🏷️ #Python

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🏆 Build Rock Paper Scissors: Python Project! 📢 Master Python basics! Build a Rock Paper Scissors game. Perfect for beginners to learn random choices and conditional logic. ⚡ Tap to unlock the complete answer and gain instant insight. ━━━━━━━━━━━━━━━ By: @DataScience4 ✨

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Found a useful library for Python — Translators. This is a module that allows you to translate text for free and massively through a bunch of external engines: Google, Yandex, Bing, Baidu, Tencent, DeepL, Reverso, Papago, and a bunch of other services, including even Argos and Iflytek. 😨 It works with dozens of languages (Russian, English, Spanish, Chinese, German, and others). Usage is simple and does not require complex setup. Installation:

git clone https://github.com/UlionTse/translators.git
cd translators
python setup.py install

or simpler:

pip install --upgrade translators

GitHub: github.com/UlionTse/translators 👉 @DataScience4

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🪙 +30.560$ with 300$ in a month of trading! We can teach you how to earn! FREE! It was a challenge - a marathon 300$ to 30.000$ on trading, together with Lisa! What is the essence of earning?: "Analyze and open a deal on the exchange, knowing where the currency rate will go. Lisa trades every day and posts signals on her channel for free." 🔹Start: $150 🔹 Goal: $20,000 🔹Period: 1.5 months. Join and get started, there will be no second chance👇 https://t.me/+L9_l-dxOJxI2ZGUy https://t.me/+L9_l-dxOJxI2ZGUy https://t.me/+L9_l-dxOJxI2ZGUy

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✨ Topic: Python Data Science ✨ 📖 Explore all Python data science tutorials. Learn how to analyze and visualize data using Python. With these skills, you can derive insights from large data sets and make data-driven decisions. 🏷️ #140_resources

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✨ Writing DataFrame-Agnostic Python Code With Narwhals ✨ 📖 If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution. 🏷️ #advanced #data-science #python

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Learn web developement and gen ai with us 👉 https://t.me/WebsiteDesignLearningGroup ♨️ Ai and ml free course ♨️ Web dev. 🥳 Learn free 🥳

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I want to share a tool that I genuinely believe can make a real difference for anyone building apps: PacketSDK. Many developers have strong active-user bases but still struggle to increase revenue. That’s exactly why this solution stands out—it adds extra income without disrupting users or interfering with your existing monetization methods. Why I strongly recommend it: * It turns your active users into immediate profit without showing ads. * Integration is fast and straightforward—around 30 minutes. * It works on all platforms: mobile, desktop, TV, Unity, and more. As a channel owner, I recommend trying this service; you have nothing to lose. I used it and found its earnings amazing.

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How to upload a file via SSH using #Python and paramiko 🐍⚡️ https://t.me/DataScience4 🌟

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Django tip: Use python manage.py dumpdata to export the database to JSON or other formats. If you save the output to a file, it can be used as a fixture for tests or as initial data for new projects. Example 👇

# Export the entire database to a JSON file
python manage.py dumpdata > data.json

# Export data of a specific app
python manage.py dumpdata myapp.Book > books.json

👉 @DataScience4

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