Learn Python Coding
Kanalga Telegramβda oβtish
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
Ko'proq ko'rsatish
Tarmoq:π Telegram kanali Learn Python Coding analitikasi
Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 40 873 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 292-o'rinni va Hindiston mintaqasida 9 353-o'rinni egallagan.
π Auditoriya koβrsatkichlari va dinamika
Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβsib, 40 873 obunachiga ega boβldi.
28 Oktabr, 2026 dagi oxirgi maβlumotlarga koβra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 351 ga, soβnggi 24 soatda esa -15 ga oβzgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya oβrtacha 4.54% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.43% ini tashkil etuvchi reaksiyalarni toβplaydi.
- Post qamrovi: Har bir post oβrtacha 1 854 marta koβriladi; birinchi sutkada odatda 586 ta koβrish yigβiladi.
- Reaksiyalar va oβzaro taβsir: Auditoriya faol: har bir postga oβrtacha 3 ta reaksiya keladi.
- Tematik yoβnalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.
π Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taβriflaydi:
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
Yuqori yangilanish chastotasi (oxirgi maβlumot 29 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβlib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taβsir nuqtasiga aylantirishini koβrsatadi.
40 873
Obunachilar
-1524 soatlar
-337 kun
+35130 kun
Postlar arxiv
40 873
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
40 873
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
40 873
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
40 873
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
40 873
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
40 873
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
40 873
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.
40 873
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
40 873
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
40 873
β¨ copyreg | Python Standard Library β¨
π Provides a registry for defining custom pickling and copying functions for specific object types.
π·οΈ #Python
40 873
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
40 873
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
40 873
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
40 873
Repost from Udemy Free
Python Complete Course For Python Beginners
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level...
π· Category: it-and-software
π Language: English (US)
π₯ Students: 345,060 students
βοΈ Rating: 4.3/5.0 (5,218 reviews)
πββοΈ Enrollments Left: 94
β³ Expires In: 0D:30H:30M
π° Price: $25.31 => FREE
π Coupon: 0B6F0C44C36F70F20C0A
β οΈ Note: You may need to watch a short ad to access the course. This helps keep the service free for everyone. π
π By: https://t.me/Udemy26
40 873
Repost from Machine Learning with Python
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
