• Numpy notes from github

Theories

• Road Map for Numpy

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