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Lessons

1. Intro

2. NumPy Fundamentals

3. Pandas for Time Series

4. SciPy for Optimization

Ready to start learning?

5. Scikit-learn Basics

6. Quiz: Python Libraries

7. Vectorization Over Loops

8. Common Interview Patterns

9. Memory Management

10. Move Semantics

11. Quiz: C++ Performance

12. Templates and Compile-Time

13. STL Containers

14. Lock-Free Programming

15. Cache and Latency

16. Quiz: Data Structures

17. Arrays and Hashing

18. Binary Search

19. Dynamic Programming

20. Trees and Graphs

21. Quiz: Algorithm Patterns

22. Numerical Problems

23. Coding Interview Tips

24. Python Standard Library

25. Implementing Data Structures

26. Quiz: Testing

27. Matrix Operations

28. Time Series Analysis

29. Backtesting Basics

30. SQL for Quants

31. Quiz: Backtesting

32. Git and Version Control

33. Unit Testing

34. Profiling and Debugging

35. Object-Oriented Design

36. Functional Programming

37. Concurrency in Python

38. Network Programming Basics

39. API Integration

40. Clean Code Practices

41. Section Recap