Available now! Telegram Research 2025 β the year's key insights 
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
Show moreπ 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 39 131 subscribers, ranking 3 502 in the Technologies & Applications category and 10 597 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 39 131 subscribers.
According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 458 over the last 30 days and by 21 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 2.68%. Within the first 24 hours after publication, content typically collects 1.04% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 048 views. Within the first day, a publication typically gains 405 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn 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_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 06 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.
39 131
Subscribers
+2124 hours
+1207 days
+45830 days
Posts Archive
39 118
β¨ Quiz: Exploring Protocols in Python β¨
π Test your knowledge of Python protocols, structural subtyping, and static type checking, including generic and subprotocol usage.
π·οΈ #intermediate #python
39 118
β¨ curses | Python Standard Library β¨
π Provides tools for building text-based user interfaces in Unix terminals, providing control over cursor position, colors, windows, and keyboard input.
π·οΈ #Python
39 118
This channels is for Programmers, Coders, Software Engineers.
0οΈβ£ Python
1οΈβ£ Data Science
2οΈβ£ Machine Learning
3οΈβ£ Data Visualization
4οΈβ£ Artificial Intelligence
5οΈβ£ Data Analysis
6οΈβ£ Statistics
7οΈβ£ Deep Learning
8οΈβ£ programming Languages
β
https://t.me/addlist/8_rRW2scgfRhOTc0
β
https://t.me/Codeprogrammer
39 118
β¨ Quiz: Reading Input and Writing Output in Python β¨
π Test your Python basics: read user input with input(), display output with print(), and handle numeric conversions.
π·οΈ #basics #python
39 118
β¨ ctypes | Python Standard Library β¨
π Allows for calling functions in shared C libraries and DLLs using C-compatible data types.
π·οΈ #Python
39 118
β¨ Dictionaries in Python β¨
π Learn how dictionaries in Python work: create and modify key-value pairs using dict literals, the dict() constructor, built-in methods, and operators.
π·οΈ #basics #python
39 118
β¨ Quiz: Implementing the Factory Method Pattern in Python β¨
π Learn how the Factory Method pattern separates creation from use, promotes decoupling, and organizes Python products efficiently.
π·οΈ #intermediate #best-practices
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π Sber has released two open-source MoE models: GigaChat-3.1 Ultra and Lightning
Both code and weights are available under the MIT license on HuggingFace.
π Key details:
β’ Trained from scratch (not a finetune) on proprietary data and infrastructure
β’ Mixture-of-Experts (MoE) architecture
Models:
π§ GigaChat-3.1 Ultra
β’ 702B MoE model for high-performance environments
β’ Outperforms DeepSeek-V3-0324 and Qwen3-235B on math and reasoning benchmarks
β’ Supports FP8 training and MTP
β‘οΈ GigaChat-3.1 Lightning
β’ 10B model (1.8B active parameters)
β’ Outperforms Qwen3-4B and Gemma-3-4B on Sber benchmarks
β’ Efficient local inference
β’ Up to 256k context
Engineering highlights:
β’ Custom metric to detect and reduce generation loops
β’ DPO training moved to native FP8
β’ Improvements in post-training pipeline
β’ Identified and fixed a critical issue affecting evaluation quality
π Trained on 14 languages (optimized for English and Russian)
Use cases:
β’ chatbots
β’ AI assistants
β’ copilots
β’ internal ML systems
Sber provides a solid open foundation for developers to build production-ready AI systems with lower infrastructure costs.
39 118
β¨ Quiz: Using Loguru to Simplify Python Logging β¨
π Test your knowledge of Loguru for Python logging, from zero-config setup and log levels to custom formats and adding context.
π·οΈ #intermediate #tools
39 118
β¨ Quiz: Building a Python GUI Application With Tkinter β¨
π Test your Tkinter skills with this interactive challenge on widgets, layouts, event loops, and text/file handling in Python GUIs.
π·οΈ #basics #gui #stdlib
39 118
β¨ copyreg | Python Standard Library β¨
π Provides a registry for defining custom pickling and copying functions for specific object types.
π·οΈ #Python
39 118
β¨ Quiz: For Loops in Python (Definite Iteration) β¨
π Test your understanding of Python loops, iterables, and control flow with break, continue, and StopIteration.
π·οΈ #basics #python
39 118
β¨ compileall | Python Standard Library β¨
π Provides utilities for byte-compiling Python source files into bytecode across a directory tree, a single file, or all locations on sys.path.
π·οΈ #Python
39 118
π 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!
π° 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
π 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
π§ Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.me/DataScience4
π― PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.me/DataScienceQ
πΎ Kaggle Data Hub
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.me/datasets1
π§βπ Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.me/DataScienceC
π ML Research Hub
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.me/DataScienceT
π¬ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.me/DataScience9
π Python Arab| Ψ¨Ψ§ΩΨ«ΩΩ ΨΉΨ±Ψ¨Ω
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.me/PythonArab
π Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.me/DataScienceN
πΊ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.me/DataScienceV
π Data Analytics
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.me/DataAnalyticsX
π§ Learn Python Hub
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.me/Python53
βοΈ Research Papers
Professional Academic Writing & Simulation Services
https://t.me/DataScienceY
ββββββββββββββββββ
Admin: @HusseinSheikho
39 118
Repost from Udemy Free Coupons
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39 118
Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
