Programming Bootcamp for Scientists #39

00:00 Numpy

00:44 What is Numpy?

00:55 Numpy vector

06:19 2D arrays

07:28 Set dtype

08:27 Ones and Zeros

10:10 Random array

12:12 Array dtype changes by division (int to float)

12:40 Transpose

13:00 Reference and not a copy

13:45 Copy array

14:02 Element-wise operations on Arrays

14:50 multiply, matmul, dot for vectors and matrices.

17:43 Casting - converting from strings to integers. (astype)

18:40 Indexing 1d array

19:26 Slice is a reference, copy

19:55 abs value on a Numpy array

22:17 Logical not on a Numpy array

23:36 Vectorize a function

27:36 Filtering array (selecting some of the values from an array)

33:00 Some statistics (sum, mean, std, var)

33:35 Serialization (saving an array to a file)

35:37 Load from Matlab file to a Numpy array

37:24 Save a Numpy array as a Matlab file

37:49 Horizontal stack vectors (hstack)

38:31 Append or Vertical stack vectors and matrices (vstack)

38:50 uint, int - showing data overflow