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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Сеть:📈 Аналитический обзор Telegram-канала Learn Python Coding
Канал Learn Python Coding (@pythonre) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 40 875 подписчиков, занимая 3 287 место в категории Технологии и приложения и 9 164 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 40 875 подписчиков.
Согласно последним данным от 29 октября, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 336, а за последние 24 часа — 1, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 5.33%. В первые 24 часа после публикации контент обычно набирает 1.52% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 179 просмотров. В течение первых суток публикация набирает 622 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как math, harvard, oxford, supervision, waybienad.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”
Благодаря высокой частоте обновлений (последние данные получены 30 октября, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
40 875
Подписчики
+124 часа
-497 дней
+33630 дней
Архив постов
40 875
✨ Sublime Text | Code Editors & IDEs ✨
📖 A commercial, cross-platform text editor for code, markup, and prose.
🏷️ #Python
40 875
✨ pip-tools | Python Tools ✨
📖 A set of CLI tools that generate and apply fully pinned package requirement files for Python.
🏷️ #Python
40 875
✨ 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
40 875
✨ pdm | Python Tools ✨
📖 A modern package and project manager for Python.
🏷️ #Python
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✨ Neovim | Code Editors & IDEs ✨
📖 A free, open-source, Vim-based text editor that focuses on extensibility.
🏷️ #Python
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✨ Anaconda | Python Tools ✨
📖 A curated distribution of Python and R for data science.
🏷️ #Python
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✨ abc | Python Standard Library ✨
📖 Provides infrastructure for defining Abstract Base Classes (ABCs).
🏷️ #Python
40 875
🚀 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.
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🎯 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.
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
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💬 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.
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📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
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Professional Academic Writing & Simulation Services
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Admin: @HusseinSheikho
40 875
✨ 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
40 875
✨ flit | Python Tools ✨
📖 A build and publish tool that packages pure Python.
🏷️ #Python
40 875
✨ Vim | Code Editors & IDEs ✨
📖 A free, open-source, highly configurable text editor.
🏷️ #Python
40 875
✨ 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 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+03:0040 875
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}¤t_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!
🚪 @DataScience440 875
✨ 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
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✨ 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
40 875
✨ Spyder | Code Editors & IDEs ✨
📖 A free, open source integrated development environment (IDE) for Python that is tailored to scientific computing and data analysis.
🏷️ #Python
