Code With Python
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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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πŸ“Œ Data Engineering – ORM and ODM with Python

πŸ—‚ Category: DATA ENGINEERING

πŸ•’ Date: 2025-01-02 | ⏱️ Read time: 7 min read

Manipulate database data leveraging an object-oriented programming paradigm
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✨ AskCodi | AI Coding Tools ✨

πŸ“– An AI coding assistant for IDEs and the web.

🏷️ #Python
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✨ Quiz: What Does -> Mean in Python Function Definitions? ✨

πŸ“– Test your understanding of Python return type hints and learn how to use the -> arrow, annotate containers, and check code with static tools.

🏷️ #basics #python
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✨ Quiz: Python Project Management With uv ✨

πŸ“– Test your skills with uv, the fast Python project manager. Practice setup, package installs, and key files created by uv.

🏷️ #intermediate #tools
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✨ Visual Studio IntelliCode | AI Coding Tools ✨

πŸ“– An AI-assisted coding feature that augments IntelliSense.

🏷️ #Python
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✨ Grok | AI Coding Tools ✨

πŸ“– A family of AI models and an API from xAI.

🏷️ #Python
✨ Quiz: Python 3.14 Preview: REPL Autocompletion and Highlighting ✨

πŸ“– Take this quiz to explore Python 3.14's REPL upgrades! Test your knowledge of new autocompletion tools and built-in syntax highlighting.

🏷️ #basics #python
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Cheat sheet for f-strings in Python

f-strings are one of the simplest and fastest ways to format texts in Python.

Save this cheat sheet to always have it handy ⌨️

Extended version here
https://fstring.help/cheat/

https://t.me/DataScience4 πŸ”°
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✨ Python MCP: Connect Your LLM With the World ✨

πŸ“– Learn how to build a Model Context Protocol (MCP) server in Python. Connect tools, prompts, and data to AI agents like Cursor for smarter assistants.

🏷️ #intermediate
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✨ Gemini Code Assist | AI Coding Tools ✨

πŸ“– An AI coding assistant for integrated development environments (IDEs) and Google Cloud.

🏷️ #Python
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✨ Code Llama | AI Coding Tools ✨

πŸ“– A family of code-specialized large language models (LLMs) for generating, completing, and explaining source code.

🏷️ #Python
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✨ Quiz: Ways to Start Interacting With Python ✨

πŸ“– Test your knowledge of running Python interactively using REPL, scripts, and IDEs, and clarify key concepts.

🏷️ #basics #python
✨ Quiz: What Can You Do With Python? ✨

πŸ“– Review where Python shines: web, APIs, CLIs, GUIs, data science, ORMs, automation, and robots. Practice key terms, tools, and workflows.

🏷️ #basics #career
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✨ Astral's ty: A New Blazing-Fast Type Checker for Python ✨

πŸ“– Learn to use ty, an ultra-fast Python type checker written in Rust. Get setup instructions, run type checks, and fine-tune custom rules in personal projects.

🏷️ #intermediate #tools
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4 ways to copy a list in Python

In Python, there are several ways to make a copy of a list. But it is important to understand the difference between a shallow copy and a deep copy.

original = [1, 2, [3, 4]]

# 1. Slice (shallow copy)
copy1 = original[:]

# 2. .copy() method (shallow copy)
copy2 = original.copy()

# 3. Using list() (shallow copy)
copy3 = list(original)

# 4. deepcopy (deep copy)
import copy
copy4 = copy.deepcopy(original)


Now let's check the difference between shallow and deep copy:

original[2].append(5)
print(copy1)
# [1, 2, [3, 4, 5]] β€” nested list changed!
print(copy4)
# [1, 2, [3, 4]] β€” unchanged


πŸ‘‰ https://t.me/DataScience4
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✨ Zed | AI Coding Tools ✨

πŸ“– A high-performance, collaborative code editor with built-in AI agent tooling.

🏷️ #Python
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πŸ“– A JupyterLab extension that brings generative AI into notebooks.

🏷️ #Python
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