scipy2013

0:51:17

Intro to scikit-learn (I), SciPy2013 Tutorial, Part 1 of 3

1:40:22

Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3

1:25:00

IPython in Depth, SciPy2013 Tutorial, Part 1 of 3

0:35:35

Using Geospatial Data with Python, SciPy2013 Tutorial, Part 1 of 6

1:11:26

Intro to scikit-learn (I), SciPy2013 Tutorial, Part 2 of 3

1:38:19

Version Control and Unit Testing for Scientific Software, SciPy2013 Tutorial, Part 1 of 3

0:07:32

Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 2 of 6

1:56:53

Intro to scikit-learn (II), SciPy2013 Tutorial, Part 1 of 2

0:33:35

Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 3 of 4

1:11:27

Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 1 of 4

0:36:52

IPython in Depth, SciPy2013 Tutorial, Part 3 of 3

1:34:54

IPython in Depth, SciPy2013 Tutorial, Part 2 of 3

0:24:47

Parallel Volume Rendering in yt: User Driven & User Developed; SciPy 2013 Presentation

0:31:08

Version Control and Unit Testing for Scientific Software, SciPy2013 Tutorial, Part 3 of 3

0:39:03

Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 1 of 6

0:17:33

A Gentle Introduction To Machine Learning; SciPy 2013 Presentation

0:43:39

Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 2 of 4

0:32:35

Version Control and Unit Testing for Scientific Software, SciPy2013 Tutorial, Part 2 of 3

0:18:42

The Open Science Framework: Improving, by Opening, Science; SciPy 2013 Presentation

0:21:14

Data Processing with Python, SciPy2013 Tutorial, Part 2 of 3

1:05:53

Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 4 of 4

0:43:35

SciPy 2013 Keynote: IPython: the method behind the madness

1:37:35

Intro to scikit-learn (I), SciPy2013 Tutorial, Part 3 of 3

0:25:07

Matplotlib: past, present and future; SciPy 2013 Presentation