Code With Python
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This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA โ€“ perfect for learning, coding, and mastering key programming skills.
Admin: @HusseinSheikho || @Hussein_Sheikho
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๐Ÿ“š COMPUTER PROGRAMMING FUNDAMENTALS (2024)

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๐Ÿ’ฌ Tags: #python

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Quick Python cheatsheet.

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IP Address Information using Python

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๐Ÿ“‚ Tags: #coding #Python

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Find your country on a Map using Python

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๐Ÿ“š Python Cookbook (2024)

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๐Ÿ“š Python Preparation Practice Exams Questions with Explanation (2024)

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20 Most Common Magic Methods in Python OOP

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๐Ÿ“š Python for Engineers (2024)

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๐Ÿ“š SQLAlchemy 2 In Practice (2023)

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๐Ÿ“š Mastering Python Programming for Beginners (2024)

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๐Ÿ“š Mastering Python (2024)

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๐Ÿ“š Portable Python Projects (2024)

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How Python work in our computer clearly explained

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When invoking a Python script, you can specify various options/flags for better flexibility.

Here are 9 of the most commonly used options.

๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐œ: Run a single Python command.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -i: Run the script as usual and enter the interactive model instead of exiting.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐Ž: Ignore assert statements (This is alphabet โ€˜Oโ€™).
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐Ž๐Ž: Ignore assert statements and discard docstrings.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐–: Ignore all warnings.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐ฆ: Run a module as a script.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐ฏ: Enter verbose mode.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐ฑ: Skip the first line.
๐Ÿ”ท ๐ฉ๐ฒ๐ญ๐ก๐จ๐ง -๐„: ignore all Python environment variables.

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Convert PDF to docx using Python

๐Ÿ“‚ Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses

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20 Python Libraries You Aren't Using But Should

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๐Ÿ‘ฉโ€๐Ÿ’ป TheAlgorithms/Python is a collection of algorithms written in Python. It is an open source project where developers from all over the world contribute with various algorithms used in computer science, mathematics, and data science.

๐Ÿ” The repository includes hundreds of algorithm implementations in various categories, such as:

๐ŸŒŸ Sorting and searching (e.g. quicksort, binary search).
๐ŸŒŸ Data structures (e.g. trees, graphs, queues).
๐ŸŒŸ Graph algorithms (e.g. depth-first search, breadth-first search).
๐ŸŒŸ Cryptography (e.g. encryption, hashing).
๐ŸŒŸ Machine learning algorithms and many more!

๐Ÿ’ก The goal of the project is to offer a learning resource where developers can learn and understand how different algorithms work. Each algorithm is accompanied by code examples, and many of them have detailed explanations.

๐Ÿ” License: MIT

๐Ÿ‘ Github

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