Topics to be covered in whole playlist
1. Introduction
2. i2, i4, i8
3. 1d, 2d, 3d array
4. upcasting
5. ndmin, copy
6. dtype=complex
7. matrix
8. asarray, asanyarray
9. deep copy, shallow copy
10. fromfunction, fromiter, fromstring
11. np.core.records.fromarray
12. ndim, shape, size, dtype
13. arange
14. linspace
15. logspace
16. zeros, ones, empty, eye
17. scalar - dimension
18. reshape
19. diag, diagflat
20. tri, triu, tril
21. random number generation
22. sorting
23. min, max, argmax
24. indexing, slicing
25. subsetting
26. a*b, a@b, np.dot(a,b) mat/0 mat**2
27. Broadcasting: columnwise, rowwise
28. sqrt, log, exp, fmod or %
Link for video material (In class):
colab.research...
Organized Notes:
colab.research...
Hope you had fun and you learned well.
Thanks for watching.
For queries:
email: conceptsindepthandeasy@gmail.com
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