NumPy Course Index – Dataplexa

NumPy Course Index

Complete NumPy Roadmap — 30 structured lessons covering arrays, vectorization, broadcasting, linear algebra, random module, and numerical computation workflows.

Open NumPy Course Back to Learning Hub

I. Beginner Level (10 Lessons)

1. Introduction to NumPy 2. Arrays vs Lists 3. Creating Arrays 4. Array Attributes 5. Indexing & Slicing 6. Boolean Indexing 7. Basic Operations 8. Vectorized Computation 9. Reshaping Arrays 10. Joining & Splitting

II. Intermediate Level (12 Lessons)

11. Copy vs View 12. Broadcasting Basics 13. Universal Functions 14. Random Module 15. Statistical Functions 16. Sorting & Searching 17. Stacking Arrays 18. Matrix Operations 19. Linear Algebra 20. Reading & Writing Data 21. Handling Missing Values 22. Performance Optimization

III. Advanced Level (8 Lessons)

23. Advanced Broadcasting 24. Structured Arrays 25. Memory Layout 26. Advanced Indexing 27. Meshgrid 28. Numerical Techniques 29. NumPy in ML 30. NumPy Project