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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 353 Technologies & Applications3 292...

📈 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 40 879 subscribers, ranking 3 292 in the Technologies & Applications category and 9 353 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 40 879 subscribers.

According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 395 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 3.98%. Within the first 24 hours after publication, content typically collects 1.48% reactions from the total number of subscribers.
Post reach: On average, each post receives 1 628 views. Within the first day, a publication typically gains 604 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
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 28 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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40 879

Subscribers

-1224 hours

-127 days

+39530 days

1 628

Post views

~ 60424 hours

~ 1 05048 hours

3.98%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

40 880

✨ fnmatch | Python Standard Library ✨ 📖 Provides tools for Unix shell-style wildcard pattern matching against filename strings. 🏷️ #Python

40 880

Read this once. There won't be a second message. Brainlancer just launched today. Investor-backed marketplace for ALL AI freelancers. Designers, builders, copywriters, marketers, video creators, automation experts, consultants. If you build, design, write, or sell anything with AI, this is your moment. How it works: • Register free at brainlancer.com • Stripe verification, 5 minutes, instant approval • List up to 5 services from $49 to $4,999 • Add monthly subscriptions on top if you want • We bring the clients. You keep 80%. The deal: No subscription. No bidding. No chasing. We pay all marketing. Real talk: no services live yet. We just launched. Whoever joins first gets seen first. The first 100 Brainlancers are onboarding right now. In 6 months others will have founding status, recurring income, featured services on the homepage. You'll scroll past and remember this post. Don't. → brainlancer.com

40 880

Repost from Machine Learning with Python

GitHub repositories to enhance your Python proficiency: - Web development with Django — https://github.com/django/django - Data Science tools — https://github.com/rasbt/python-machine-learning-book - Algorithmic challenges — https://github.com/TheAlgorithms/Python - Machine learning recipes — https://github.com/ageron/handson-ml2 - Testing best practices — https://github.com/pytest-dev/pytest - Automation scripts — https://github.com/soimort/you-get - Advanced Python concepts — https://github.com/faif/python-patterns Bookmark and share https://t.me/CodeProgrammer 🌟

40 880

Repost from Machine Learning with Python

Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A

40 880

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✨ AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 AI coding agents come in four types: IDE, terminal, PR, and cloud. Learn how each workflow fits into modern Python development. 🏷️ #intermediate #ai

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✨ Quiz: AI Coding Agents Guide: A Map of the Four Workflow Types ✨ 📖 Check your understanding of how AI coding agents fit into your workflow through four interaction modes: IDE, terminal, pull request, and cloud. 🏷️ #intermediate #ai

40 880

✨ fileinput | Python Standard Library ✨ 📖 Provides tools for iterating over lines from multiple input files or standard input, with support for in-place file editing. 🏷️ #Python

40 880

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

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✨ Real Python Merchandise ✨ 📖 Support realpython.com with this collection of Python mugs, t-shirts, hoodies, and stickers. 🏷️ #Python

40 880

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Today, the public mint for Lobsters on TON goes live on Getgems 🦞 This is not just another NFT drop. In my view, Lobsters is one of the first truly cohesive products at the intersection of blockchain, NFTs, and AI. Here, the NFT is not just an image and not just a collectible. Each Lobster is an NFT with a built-in AI agent inside: a digital character with its own soul, on-chain biography, persistent memory, and a unified identity across Telegram, Mini App, Claude, and API. So you are not just getting an asset in your wallet. You are getting an AI-native digital character that can interact, remember, and stay consistent across different interfaces. What makes this especially interesting is the timing. In the recent video Pavel Durov shared in his post about agentic bots in Telegram, the lobster imagery was right there. Against that backdrop, Lobsters does not feel like a random mint — it feels like a very precise fit for the new narrative: Telegram-native agents + TON infrastructure + NFT ownership layer + AI utility Put simply, this is one of the first real attempts to turn an NFT from “just an image” into a digital agent. Public mint: today, 16:00 Price: 50 TON 👉 Mint your Lobster on Getgems 🦞🦞🦞

40 880

✨ filecmp | Python Standard Library ✨ 📖 Provides tools for comparing files and directory trees, with a caching layer for efficiency and a dircmp class for recursive directory analysis. 🏷️ #Python