【课程】NumPy 数据科学基本训练

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2017-06-12 09:49:27
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NumPy 数据科学基本训练
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001 Welcome
00:41
002 What you should know
00:23
003 NumPy, data science, IMQAV
05:09
004 How to use the exercise files
01:44
005 Install software
01:56
006 Introduction to Jupyter Notebook
03:12
007 Notebook basics
08:24
008 Markdown
04:33
009 Beautiful mathematics typesetting
03:29
010 Launch Jupyter Notebook
02:07
011 Create arrays from Python structures
07:39
012 Intrinsic creation using NumPy methods
07:17
013 linspace, zeros, ones, data types
09:27
014 Slice arrays
07:36
015 Boolean mask arrays
05:00
016 Broadcasting
11:43
017 Structured and record arrays
11:00
018 Inline plotting
02:47
019 Figures and subplots
05:28
020 Multiple lines, single plot
06:17
021 Tick marks, labels, and grids
03:28
022 Plot annotations
05:17
023 Pie charts and bar charts
04:06
024 Beautiful plots, the gallery
04:22
025 Views and copies
08:20
026 Array attributes
01:41
027 Add and remove elements
08:53
028 Join and split arrays
06:49
029 Array shape manipulation
04:24
030 Rearrange array elements
05:12
031 Transpose like operations
04:25
032 Tiling arrays
03:24
033 Universal functions
04:48
034 Pythagorean triangles
03:29
035 Linear algebra
08:14
036 Finding patterns
07:49
037 Statistics
08:31
038 Brain teasers
12:03
039 Magic squares and NumPy
06:58
040 Adjacency matrix
06:20
041 Magic characteristics
05:42
042 Build magic cubes
03:49
043 Next steps
00:50
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