uz
Feedback

Firibgarlarga uchmang! Telemetrio bunday kanallarni topadi va belgilaydi πŸ‘‰ Belgini koβ€˜rmoqchi boβ€˜lsangiz, obuna boβ€˜ling

Learn Python Coding

Learn Python Coding

Kanalga Telegram’da oβ€˜tish

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

πŸ“ˆ 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.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 40 873 obunachiga ega boβ€˜ldi.

28 Oktabr, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 351 ga, soβ€˜nggi 24 soatda esa -15 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oβ€˜rtacha 4.54% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.43% ini tashkil etuvchi reaksiyalarni toβ€˜playdi.
  • Post qamrovi: Har bir post oβ€˜rtacha 1 854 marta koβ€˜riladi; birinchi sutkada odatda 586 ta koβ€˜rish yigβ€˜iladi.
  • Reaksiyalar va oβ€˜zaro ta’sir: Auditoriya faol: har bir postga oβ€˜rtacha 3 ta reaksiya keladi.
  • Tematik yoβ€˜nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

πŸ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
β€œLearn 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”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 29 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

Buy Ad
40 873
Obunachilar
-1524 soatlar
-337 kun
+35130 kun
Postlar arxiv
✨ codecs | Python Standard Library ✨ πŸ“– Defines base classes for standard codecs and provides access to the codec registry for encoding and decoding text and binary data. 🏷️ #Python

✨ Quiz: Using Jupyter Notebooks ✨ πŸ“– Test your Jupyter Notebook skills: cells, modes, shortcuts, Markdown, server tools, and
✨ Quiz: Using Jupyter Notebooks ✨ πŸ“– Test your Jupyter Notebook skills: cells, modes, shortcuts, Markdown, server tools, and exporting notebooks to HTML. 🏷️ #intermediate #tools

✨ code | Python Standard Library ✨ πŸ“– Provides classes and functions for implementing read-eval-print loops and embedding interactive interpreter consoles in applications. 🏷️ #Python

✨ Quiz: Interacting With REST APIs and Python ✨ πŸ“– Test your Python REST API knowledge: consuming, building, HTTP methods, st
✨ Quiz: Interacting With REST APIs and Python ✨ πŸ“– Test your Python REST API knowledge: consuming, building, HTTP methods, status codes, Flask, FastAPI, and Django basics. 🏷️ #intermediate #api #web-dev

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
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 βœ… https://t.me/addlist/8_rRW2scgfRhOTc0 βœ… https://t.me/Codeprogrammer

✨ Quiz: Getting Started With Django: Building a Portfolio App ✨ πŸ“– Test your Django basics: frameworks, projects, views, temp
✨ Quiz: Getting Started With Django: Building a Portfolio App ✨ πŸ“– Test your Django basics: frameworks, projects, views, templates, models, URLs, and migrations with practical questions. 🏷️ #basics #django #projects #web-dev

πŸ“± Python enthusiasts, this is for you β€” 15 BEST REPOSITORIES on GitHub for learning Python ▢️ Awesome Python β€” https://github.com/vinta/awesome-python β€” the largest and most authoritative collection of frameworks, libraries, and resources for Python β€” a must-save ▢️ TheAlgorithms/Python β€” https://github.com/TheAlgorithms/Python β€” a huge collection of algorithms and data structures written in Python ▢️ Project-Based-Learning β€” https://github.com/practical-tutorials/project-based-learning β€” learning Python (and not only) through real projects ▢️ Real Python Guide β€” https://github.com/realpython/python-guide β€” a high-quality guide to the Python ecosystem, tools, and best practices ▢️ Materials from Real Python β€” https://github.com/realpython/materials β€” a collection of code and projects for Real Python articles and courses ▢️ Learn Python β€” https://github.com/trekhleb/learn-python β€” a reference with explanations, examples, and exercises ▢️ Learn Python 3 β€” https://github.com/jerry-git/learn-python3 β€” a convenient guide to modern Python 3 with tasks ▢️ Python Reference β€” https://github.com/rasbt/python_reference β€” cheat sheets, scripts, and useful tips from one of the most respected Python authors ▢️ 30-Days-Of-Python β€” https://github.com/Asabeneh/30-Days-Of-Python β€” a 30-day challenge: from syntax to more complex topics ▢️ Python Programming Exercises β€” https://github.com/zhiwehu/Python-programming-exercises β€” 100+ Python tasks with answers ▢️ Coding Problems β€” https://github.com/MTrajK/coding-problems β€” tasks on algorithms and data structures, including for preparation for interviews ▢️ Projects β€” https://github.com/karan/Projects β€” a list of ideas for pet projects (not just Python). Great for practice ▢️ 100-Days-Of-ML-Code β€” https://github.com/Avik-Jain/100-Days-Of-ML-Code β€” machine learning in Python in the format of a challenge ▢️ 30-Seconds-of-Python β€” https://github.com/30-seconds/30-seconds-of-python β€” useful snippets and tricks for everyday tasks ▢️ Geekcomputers/Python β€” https://github.com/geekcomputers/Python β€” various scripts: from working with the network to automation tasks React β™₯️ for more posts like this πŸ’›

✨ Quiz: Using Data Classes in Python ✨ πŸ“– Test your knowledge of Python data classes, namedtuple, immutability, auto-generate
✨ Quiz: Using Data Classes in Python ✨ πŸ“– Test your knowledge of Python data classes, namedtuple, immutability, auto-generated methods, inheritance, and slots. 🏷️ #intermediate #python

πŸ“± A huge cheat sheet for Python, Django, Plotly, Matplotlib, Pygame Many topics are covered inside: πŸ”Έ All basic constructs: variables, conditions, loops, lists, dictionaries, functions, and classes β€” with clear examples; πŸ”Έ Working with files, exceptions, and data input β€” understandable even for beginners; πŸ”Έ #Django, #Pygame, #Matplotlib, and #Plotly β€” brief instructions on how to get started with each of the frameworks; πŸ”Έ Tips on #Git, project structure, and unit testing. https://t.me/CodeProgrammer ❀️

✨ Quiz: Python Modules and Packages: An Introduction ✨ πŸ“– Test your knowledge of Python modules and packages. Learn about imp
✨ Quiz: Python Modules and Packages: An Introduction ✨ πŸ“– Test your knowledge of Python modules and packages. Learn about imports, namespaces, the dir() function, and more. 🏷️ #basics #python

⚑️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR β€” a full-fledged framework for restoring
+2
⚑️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR β€” a full-fledged framework for restoring faces in videos. It can: πŸ’¬ BFR β€” improve blurry faces. πŸ’¬ Colorization β€” colorize black-and-white videos. πŸ’¬ Inpainting β€” redraw damaged areas. πŸ’¬ and combine all of this in one pass. Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source. βš™οΈ Installation locally: 1. Create an environment
conda create -n svfr python=3.9 -y
conda activate svfr
2. Install PyTorch (for your CUDA)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
3. Install dependencies
pip install -r requirements.txt
4. Download models
conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt
5. Start processing videos
python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region
Where task_ids: * 0 β€” face enhancement * 1 β€” colorization * 2 β€” redrawing damage An ideal tool if: 🟒you're restoring archival videos; 🟒you're creating historical content; 🟒you're working with neural networks and video effects; 🟒you want a wow result without paid services. ▢️ Demo on Hugging Face β™ŽοΈ GitHub/Instructions #python #soft #github https://t.me/CodeProgrammer

🐍 Learning Python through real projects A collection of projects with which you can master Python by creating real applications: from backends and parsers to bots, games, and automation systems. Instead of theory β€” specific tasks, step-by-step tutorials, and repositories that help hone skills through practice. πŸ“± Link to GitHub https://github.com/practical-tutorials/project-based-learning?tab=readme-ov-file#python

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

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

✨ Quiz: Strings and Character Data in Python ✨ πŸ“– Test your Python string and bytes knowledge! Explore immutability, f-string
✨ Quiz: Strings and Character Data in Python ✨ πŸ“– Test your Python string and bytes knowledge! Explore immutability, f-strings, indexing, string methods, and bytes() usage. 🏷️ #basics #python

✨ Google Colab | Python Tools ✨ πŸ“– A cloud-based Jupyter Notebook environment from Google for running Python code in a browser without any local installation. 🏷️ #Python

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner

photo content

⚠ Message was hidden by channel owner
⚠ Message was hidden by channel owner