Udemy Algorithmic Trading A Z with Python, Machine Learning AWS 20

Part 20 (1:34:32) 33. Appendix 3 Numpy, Pandas, Matplotlib and Seaborn Crash Course 0:00:00 3. Numpy Arrays 0:08:23 4. Indexing and Slicing Numpy Arrays 0:11:37 5. Vectorized Operations with Numpy Arrays 0:15:32 6. Changing Elements in Numpy Arrays Mutability 0:21:23 7. View vs. copy potential Pitfalls when slicing Numpy Arrays 0:26:08 8. Numpy Array Methods and Attributes 0:31:22 9. Numpy Universal Functions 0:35:21 10. Boolean Arrays and Conditional Filtering 0:40:01 11. Advanced Filtering Bitwise Operators 0:46:12 12. Determining a Projects Payback Period with 0:51:02 13. Creating Numpy Arrays from Scratch 0:56:59 15. How to work with nested Lists 1:01:20 16. 2dimensional Numpy Arrays 1:05:11 17. How to slice 2dim Numpy Arrays (Part 1) 1:10:47 18. How to slice 2dim Numpy Arrays (Part 2) 1:12:51 19. Recap Changing Elements in a Numpy Array slice 1:16:30 20. How to perform rowwise and columnwise Operations 1:21:04 22. Intro to Tabular Data Pandas 1:25:23 23. Create your very first Pandas DataFrame (from csv)