fa
Feedback

فریب کلاهبرداران را نخورید! تل‌متریو این کانال‌ها را شناسایی و برچسب‌گذاری می‌کند 👉 برای مشاهده برچسب، اشتراک تهیه کنید

Learn Python Coding

Learn Python Coding

رفتن به کانال در Telegram

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

نمایش بیشتر

📈 تحلیل کانال تلگرام Learn Python Coding

کانال Learn Python Coding (@pythonre) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 40 875 مشترک است و جایگاه 3 287 را در دسته فناوری و برنامه‌ها و رتبه 9 164 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 40 875 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 29 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 336 و در ۲۴ ساعت گذشته برابر 1 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 5.33% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.52% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 2 179 بازدید دریافت می‌کند. در اولین روز معمولاً 622 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 3 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند math, harvard, oxford, supervision, waybienad تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“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”

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 30 اکتبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامه‌ها تبدیل کرده‌اند.

Buy Ad
40 875
مشترکین
+124 ساعت
-497 روز
+33630 روز
آرشیو پست ها
✨ Sublime Text | Code Editors & IDEs ✨ 📖 A commercial, cross-platform text editor for code, markup, and prose. 🏷️ #Python

✨ pip-tools | Python Tools ✨ 📖 A set of CLI tools that generate and apply fully pinned package requirement files for Python. 🏷️ #Python

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

✨ Quiz: LlamaIndex in Python: A RAG Guide With Examples ✨ 📖 Take this Python LlamaIndex quiz to test your understanding of i
✨ Quiz: LlamaIndex in Python: A RAG Guide With Examples ✨ 📖 Take this Python LlamaIndex quiz to test your understanding of index persistence, reloading, and performance gains in RAG applications. 🏷️ #intermediate #ai

✨ pdm | Python Tools ✨ 📖 A modern package and project manager for Python. 🏷️ #Python

✨ 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

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

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

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