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.

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Learn Python Coding
38.7K subscribers
Learn Python Coding
✨ 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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🏳️‍🌈 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
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✨ 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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✨ GeoPandas Basics: Maps, Projections, and Spatial Joins ✨

📖 Dive into GeoPandas with this tutorial covering data loading, mapping, CRS concepts, projections, and spatial joins for intuitive analysis.

🏷️ #intermediate #data-science
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✨ Quiz: GeoPandas Basics: Maps, Projections, and Spatial Joins ✨

📖 Test GeoPandas basics for reading, mapping, projecting, and spatial joins to handle geospatial data confidently.

🏷️ #intermediate #data-science
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✨ Automate Python Data Analysis With YData Profiling ✨

📖 Automate exploratory data analysis by transforming DataFrames into interactive reports with one command from YData Profiling.

🏷️ #intermediate #data-science #data-viz
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✨ Spyder: Your IDE for Data Science Development in Python ✨

📖 Learn how to use the Spyder IDE, a Python code editor built for scientists, engineers, and data analysts working with data-heavy workflows.

🏷️ #basics #data-science #tools
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✨ Quiz: The pandas DataFrame: Make Working With Data Delightful ✨

📖 Test your pandas skills! Practice DataFrame basics, column access, creation, sorting, and data manipulation in this interactive quiz.

🏷️ #intermediate #data-science
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✨ Quiz: Automate Python Data Analysis With YData Profiling ✨

📖 Test your knowledge of YData Profiling, including report creation, customization, performance optimization, time series analysis, and comparisons.

🏷️ #intermediate #data-science #data-viz
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✨ Quiz: Spyder: Your IDE for Data Science Development in Python ✨

📖 Test your knowledge of the Spyder IDE for Python data science, including its Variable Explorer, Plots pane, and Profiler.

🏷️ #basics #data-science #tools
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✨ Quiz: Explore Your Dataset With pandas ✨

📖 Test your pandas fundamentals: core structures, indexing, filtering, grouping, dtypes, and combining DataFrames.

🏷️ #basics #data-science
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✨ Quiz: Vector Databases and Embeddings With ChromaDB ✨

📖 Test your knowledge of vector databases and ChromaDB, from cosine similarity and embeddings to querying collections and RAG.

🏷️ #advanced #ai #databases #data-science #machine-learning
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