Theories
Theory concepts to cover
- All method and attributes
- numpy array over list
- axis concept
- join two array methods
- LCM
- flatten and ravel
- can not add a number into an array directly
- dot() and matmul()
- Inverse(invertible) or not inverse(singular)
- variance and standard deviation
- sample variance and population variance ( not imp)
- seed for reproducibility-
- Distributions
- Victorization and avoiding loops
- Efficient memory management
- Broadcasting