Code With Python – Telegram
Code With Python
39K subscribers
841 photos
24 videos
22 files
746 links
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.
Admin: @HusseinSheikho || @Hussein_Sheikho
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Microsoft Copilot | AI Coding Tools

📖 A generative AI assistant available in Bing, Microsoft Edge, and Windows.

🏷️ #Python
Quiz: Strip Characters From a Python String

📖 Test your Python skills on removing characters from strings using strip, lstrip, and rstrip. Practice default behavior, custom chars, and more.

🏷️ #basics #python
OverflowAI | AI Coding Tools

📖 A suite of generative AI features that bring conversational search and assistants to Stack Overflow.

🏷️ #Python
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How to Expense Your Real Python Membership

📖 Many companies offer professional development or learning budgets that can cover the cost of a Real Python membership. Here's how you can get your membership reimbursed.

🏷️ #Python
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Phind | AI Coding Tools

📖 An AI-powered search engine for developers.

🏷️ #Python
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Topic: Python Best Practices

📖 Learn how to use Python features idiomatically and what sets Python apart from other languages. Discover how Python coding differs from other languages. This will help you write cleaner, more efficient, and more Pythonic code.

🏷️ #resources
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Python 3.14 Preview: Better Syntax Error Messages

📖 Python 3.14 includes ten improvements to error messages, which help you catch common coding mistakes and point you in the right direction.

🏷️ #intermediate #python
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Topic: Python API Tutorials

📖 Learn to design, build, secure, and consume Python APIs with FastAPI, Flask, Django, Requests, OpenAPI, testing, Docker, and deployment tips.

🏷️ #29_resources
Topic: Python Development Tools

📖 Pick your editor, manage venvs, use Git, run pytest, auto-fix code with Ruff. Add mypy, CI, packaging, and Docker to ship with confidence.

🏷️ #104_resources
Quiz: Astral's ty Type Checker for Python

📖 Test your knowledge of Astral's ty—a blazing-fast, Rust-powered Python type checker. You'll cover installation, usage, rule configuration, and the tool's current limitations.

🏷️ #intermediate #tools
Quiz: Modern Python Linting With Ruff

📖 Test your Ruff skills in a quick quiz. Practice installation checks, continuous linting, formatting, rule selection, auto-fixes, and config.

🏷️ #intermediate #devops #tools
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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

https://news.1rj.ru/str/addlist/8_rRW2scgfRhOTc0

https://news.1rj.ru/str/Codeprogrammer
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Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements

My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward

Best regards
Eng. @HusseinSheikho 🔤
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Quiz: Python 3.14 Preview: Better Syntax Error Messages

📖 Explore how Python 3.14 improves error messages with clearer explanations, actionable hints, and better debugging support for developers.

🏷️ #basics #python
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Quiz: Python MCP Server: Connect LLMs to Your Data

📖 Test your knowledge of Python MCP. Practice installation, tools, resources, transports, and how LLMs interact with MCP servers.

🏷️ #intermediate
Lambdas are not just one-line functions, they also preserve context

The logic is right where it is needed. No need to jump between lines.

# Without lambda — you have to jump around the code
def get_name(user):
return user['name']

# Imagine there are 100–200 lines of code here...

users.sort(key=get_name)


# Sorting conditions right in place
users.sort(key=lambda user: user['name'])


👉 @DataScience4
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It's Almost Time for Python 3.14 and Other Python News

📖 The final release of Python 3.14 is almost here! Plus, there's Django 6.0 alpha, key PEP updates, PSF board results, and fresh Real Python resources.

🏷️ #community #news
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Tuples use less memory than lists of the same size

>>> import sys
>>> sys.getsizeof(tuple(iter(range(20))))
200
>>> sys.getsizeof(list(iter(range(20))))
216


The difference is small, but when working with large amounts of data — it matters. 🤕

👉 @DataScience4
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Python 3.14: Cool New Features for You to Try

📖 Learn what's new in Python 3.14, including an upgraded REPL, template strings, lazy annotations, and subinterpreters, with examples to try in your code.

🏷️ #intermediate #python
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