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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Quiz: First Steps With LangChain

📖 Large language models (LLMs) have taken the world by storm. In this step-by-step video course, you'll learn to use the LangChain library to build LLM-assisted applications.

🏷️ #basics #data-science
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Quiz: How to Drop Null Values in pandas

📖 Quiz yourself on pandas .dropna(): remove nulls, clean missing data, and prepare DataFrames for accurate analysis.

🏷️ #basics #data-science #python
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Python.pdf
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🏳️‍🌈 Notes "Mastering Python"
From Basic to Advanced

👨🏻‍💻 An excellent note that teaches everything from basic concepts to building professional projects with Python.

⭕️ Basic concepts like variables, data types, and control flow

Functions, modules, and writing reusable code

⭕️ Data structures like lists, dictionaries, sets, and tuples

Object-oriented programming: classes, inheritance, and polymorphism

⭕️ Working with files, error handling, and debugging

⬅️ Alongside, with practical projects like data analysis, web scraping, and working with APIs, you learn how to apply Python in the real world.

🌐 #Data_Science #DataScience
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Quiz: Polars vs pandas: What's the Difference?

📖 Take this quiz to test your knowledge of the Polars vs pandas tutorial and review the key differences between these open-source Python libraries.

🏷️ #intermediate #data-science #python
Writing DataFrame-Agnostic Python Code With Narwhals

📖 If you're a Python library developer looking to write DataFrame-agnostic code, this tutorial will show how the Narwhals library could give you a solution.

🏷️ #advanced #data-science #python
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Quiz: Writing DataFrame-Agnostic Python Code With Narwhals

📖 If you're a Python library developer wondering how to write DataFrame-agnostic code, the Narwhals library is the solution you're looking for.

🏷️ #advanced #data-science #python
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