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Learn Python Coding

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

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Learn Python Coding (@pythonre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 39 140 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 511-o'rinni va Hindiston mintaqasida 10 551-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 39 140 obunachiga ega bo‘ldi.

07 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 433 ga, so‘nggi 24 soatda esa 10 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 2.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.01% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 1 026 marta ko‘riladi; birinchi sutkada odatda 395 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent math, harvard, oxford, supervision, waybienad kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
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

Yuqori yangilanish chastotasi (oxirgi ma’lumot 08 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

39 140
Obunachilar
+1024 soatlar
+887 kunlar
+43330 kunlar
Postlar arxiv
Neovim | Code Editors & IDEs ✨ 📖 A free, open-source, Vim-based text editor that focuses on extensibility. 🏷️ #Python

Anaconda | Python Tools ✨ 📖 A curated distribution of Python and R for data science. 🏷️ #Python

abc | Python Standard Library ✨ 📖 Provides infrastructure for defining Abstract Base Classes (ABCs). 🏷️ #Python

🚀 Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need boo
🚀 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! 🔰 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 🔖 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 🧠 Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 🎯 PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ 💾 Kaggle Data Hub Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 🧑‍🎓 Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC 😀 ML Research Hub Advancing research in Machine Learning – practical insights, tools, and techniques for researchers. https://t.me/DataScienceT 💬 Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 🐍 Python Arab| بايثون عربي The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab 🖊 Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN 📺 Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV 📈 Data Analytics Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX 🎧 Learn Python Hub Master Python with step-by-step courses – from basics to advanced projects and practical applications. https://t.me/Python53 ⭐️ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY ━━━━━━━━━━━━━━━━━━ Admin: @HusseinSheikho

✨ Quiz: Recursion in Python: An Introduction ✨ 📖 Test your understanding of recursion in Python, including base cases, recur
Quiz: Recursion in Python: An Introduction ✨ 📖 Test your understanding of recursion in Python, including base cases, recursive structure, performance considerations, and common use cases. 🏷️ #intermediate #algorithms #python

flit | Python Tools ✨ 📖 A build and publish tool that packages pure Python. 🏷️ #Python

Vim | Code Editors & IDEs ✨ 📖 A free, open-source, highly configurable text editor. 🏷️ #Python

ipaddress | Python Standard Library ✨ 📖 Provides the capabilities to create, manipulate, and operate on IPv4 and IPv6 addresses. 🏷️ #Python

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Advice on clean code in Python Don't use "naive" datetime without time zones. Store and process time in UTC, and display it t
Advice on clean code in Python Don't use "naive" datetime without time zones. Store and process time in UTC, and display it to the user in his local time zone
import datetime
from zoneinfo import ZoneInfo

# BAD
now = datetime.datetime.now()

print(now.isoformat())
# 2025-10-21T15:03:07.332217

# GOOD
now = datetime.datetime.now(tz=ZoneInfo("UTC"))
print(now.isoformat())
# 2025-10-21T12:04:22.573590+00:00

print(now.astimezone().isoformat())
# 2025-10-21T15:04:22.573590+03:00

Create a simple weather parser that displays the current temperature and weather conditions from a free API We will write a script that retrieves weather data for your city and displays it in a convenient format. First, we need the requests library for network operations. If it's not installed, install it via the terminal with the command:
pip install requests
Import the module and define a function that retrieves data from the Open-Meteo API (no key required) for specific coordinates:
import requests

def get_weather(lat, lon):
    url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
    return requests.get(url).json()['current_weather']
Specify the coordinates of your city (for example, Moscow): moscow_coords = (55.75, 37.62) Display the temperature and wind speed:
weather = get_weather(*moscow_coords)
print(f"Temperature: {weather['temperature']}°C, Wind speed: {weather['windspeed']} km/h")
🔥 Get fresh weather data without registration or passwords — useful for your own projects or bots! 🚪 @DataScience4

✨ Topic: Python Machine Learning ✨ 📖 Learn how to implement machine learning (ML) algorithms in Python. With these skills, y
Topic: Python Machine Learning ✨ 📖 Learn how to implement machine learning (ML) algorithms in Python. With these skills, you can create intelligent systems capable of learning and making decisions. 🏷️ #35_resources

✨ Quiz: SOLID Design Principles: Improve Object-Oriented Code in Python ✨ 📖 Learn Liskov substitution in Python. Spot Square
Quiz: SOLID Design Principles: Improve Object-Oriented Code in Python ✨ 📖 Learn Liskov substitution in Python. Spot Square and Rectangle pitfalls and design safer APIs with polymorphism. Test your understanding now. 🏷️ #intermediate #best-practices #python

Spyder | Code Editors & IDEs ✨ 📖 A free, open source integrated development environment (IDE) for Python that is tailored to scientific computing and data analysis. 🏷️ #Python

Emacs | Code Editors & IDEs ✨ 📖 A free, open-source, highly extensible text editor and computing environment. 🏷️ #Python

Coverage.py | Python Tools ✨ 📖 A tool that measures test coverage for Python. 🏷️ #Python

Jupyter Notebook | Code Editors & IDEs ✨ 📖 A web-based interactive computing environment that lets you combine executable code and narrative text. 🏷️ #Python

Cookiecutter | Python Tools ✨ 📖 A project templating and scaffolding tool. 🏷️ #Python

JupyterLab | Code Editors & IDEs ✨ 📖 A web-based interactive development environment (IDE) for Jupyter notebooks. 🏷️ #Python