Scientific Computing with NumPy Python Data Science
Focused View
5:22:27
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01-what is this course about.mp4
01:37
02-numpy intro.mp4
04:16
03-installing anaconda.mp4
01:21
04-markdown cells.mp4
03:53
05-code cells.mp4
04:14
06-importing numpy.mp4
05:23
07-working with vectors intro.mp4
01:21
08-creating vectors.mp4
06:01
09-basic operations.mp4
05:42
10-numpy datatypes.mp4
05:52
11-slicing vectors.mp4
05:17
12-sorting vectors.mp4
03:41
13-copies vs. views.mp4
04:28
14-aggregate functions.mp4
05:01
15-exercise set-temperature data.mp4
00:59
16-universal functions intro.mp4
00:46
17-universal functions.mp4
02:53
18-function plotting.mp4
07:13
19-bar and scatter plot.mp4
06:56
20-exercise set-temperature data ii.mp4
01:58
21-randomness and statistics intro.mp4
01:31
22-generators and random integers.mp4
05:29
23-random shuffle and choice.mp4
05:04
24-the normal distribution.mp4
05:35
25-basic statistics.mp4
05:46
26-finding unique values.mp4
03:26
27-exercise set-linear regression.mp4
01:16
28-matrices intro.mp4
01:01
29-making a matrix.mp4
05:44
30-attributes of a matrix.mp4
06:42
31-changing the shape of a vector.mp4
06:50
32-new matrices and specifying axis.mp4
05:44
33-boolean vectors and matrices.mp4
07:15
34-exercise set-rain data.mp4
02:08
35-broadcasting and indexing intro.mp4
01:13
36-basic broadcasting.mp4
05:00
37-broadcasting rules.mp4
07:12
38-2d slicing.mp4
04:51
39-advanced indexing.mp4
03:53
40-exercise set-monochrome images.mp4
01:34
41-basic linear algebra intro.mp4
00:50
42-basic linear algebra.mp4
04:57
43-cross product and length.mp4
07:28
44-matrix operations.mp4
07:24
45-solving linear systems i.mp4
05:50
46-solving linear systems ii.mp4
04:47
47-exercise set-basic linear algebra.mp4
02:15
48-understanding ndarrays intro.mp4
01:22
49-making higher dimensional arrays.mp4
05:47
50-slicing and aggregate functions.mp4
04:51
51-colored images.mp4
07:16
52-what are strides.mp4
05:27
53-exercise set-color images.mp4
01:32
54-fourier transforms intro.mp4
01:21
55-complex numbers.mp4
04:41
56-fourier transforms i.mp4
05:54
57-fourier transforms ii.mp4
06:56
58-smoothing a signal.mp4
06:00
59-2d fourier transforms.mp4
08:04
60-exercise set-fourier transforms.mp4
03:24
61-advanced linear algebra intro.mp4
01:49
62-eigenvalues and eigenvectors.mp4
07:11
63-types of matrices.mp4
09:13
64-qr decomposition.mp4
07:27
65-partial least squares.mp4
05:56
66-exercise set-advanced linalg.mp4
01:24
67-saving and loading data intro.mp4
01:17
68-loading data.mp4
04:28
69-saving data.mp4
05:12
70-saving and loading numpy arrays.mp4
06:20
71-exercise set-boston data.mp4
02:42
72-neighboring libraries intro.mp4
05:31
73-further topics and goodbye.mp4
01:45
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- language english
- Training sessions 73
- duration 5:22:27
- Release Date 2024/03/09
