Categories

There are currently no items in your shopping cart.

User Panel

Forgot your password?.

Skillshare Scientific Computing with NumPy: Python Data Science

Video Introducing this tutorial

01 what is this course about
02 numpy intro
03 installing anaconda
04 markdown cells
05 code cells
06 importing numpy
07 working with vectors intro
08 creating vectors
09 basic operations
10 numpy datatypes
11 slicing vectors
12 sorting vectors
13 copies vs. views
14 aggregate functions
15 exercise set temperature data
16 universal functions intro
17 universal functions
18 function plotting
19 bar and scatter plot
20 exercise set temperature data ii
21 randomness and statistics intro
22 generators and random integers
23 random shuffle and choice
24 the normal distribution
25 basic statistics
26 finding unique values
27 exercise set linear regression
28 matrices intro
29 making a matrix
30 attributes of a matrix
31 changing the shape of a vector
32 new matrices and specifying axis
33 boolean vectors and matrices
34 exercise set rain data
35 broadcasting and indexing intro
36 basic broadcasting
37 broadcasting rules
38 2d slicing
39 advanced indexing
40 exercise set monochrome images
41 basic linear algebra intro
42 basic linear algebra
43 cross product and length
44 matrix operations
45 solving linear systems i
46 solving linear systems ii
47 exercise set basic linear algebra
48 understanding ndarrays intro
49 making higher dimensional arrays
50 slicing and aggregate functions
51 colored images
52 what are strides
53 exercise set color images
54 fourier transforms intro
55 complex numbers
56 fourier transforms i
57 fourier transforms ii
58 smoothing a signal
59 2d fourier transforms
60 exercise set fourier transforms
61 advanced linear algebra intro
62 eigenvalues and eigenvectors
63 types of matrices
64 qr decomposition
65 partial least squares
66 exercise set advanced linalg
67 saving and loading data intro
68 loading data
69 saving data
70 saving and loading numpy arrays
71 exercise set boston data
72 neighboring libraries intro
73 further topics and goodbye