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IPython in-depth: Interactive Tools for Scientific Computing
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enthought
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scipy_2012
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Next: 11 scikit-learn
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Marks
Author(s):
Fernando Perez, Min Ragan-Kelley
Location
105
Date
jul Tue 17
Days Raw Files
Start
13:00
First Raw Start
12:29
Duration
240:00
Offset
0:31:00
End
17:00
Last Raw End
17:26
Chapters
00:00
0:04:14
0:30:03
1:31:23
1:53:14
1:56:44
Total cuts_time
122 min.
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IPython provides tools for interactive and parallel computing that are widely used in scientific computing. We will show some uses of IPython for scientific applications, focusing on exciting recent developments, such as the network-aware kernel, web-based notebook with code, graphics, and rich HTML, and a high-level framework for interactive parallel computing.
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