🧮Foundations

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Python for ML

Master Python programming with focus on data science and machine learning applications

Recommended for:🤖LLM Engineer ⚙️MLOps Engineer 📊Data Scientist 🚀Full-Stack AI

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Beginner

Beginner

Python fundamentals for data work

What to Learn

•Data types, control flow, functions
•NumPy: arrays, broadcasting, vectorization
•Pandas: DataFrames, data manipulation
•Matplotlib/Seaborn for visualization
•Jupyter notebooks workflow

Resources

📚Python for Data Analysis by McKinney
📚NumPy documentation tutorials
📚Kaggle Learn: Python course

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Intermediate

Intermediate

Python for ML engineering

What to Learn

•Object-oriented programming for ML
•Type hints and documentation
•Testing ML code with pytest
•Profiling and performance optimization
•Virtual environments and dependency management

Resources

📚Fluent Python by Ramalho
📚Effective Python by Slatkin
📚Python packaging best practices

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Advanced

Advanced

Production-grade Python

What to Learn

•Async programming for ML services
•C/Cython extensions for performance
•Memory profiling and optimization
•Building Python packages
•Advanced debugging techniques

Resources

📚High Performance Python book
📚Python internals documentation
📚Contributing to open-source ML libraries