Name: [6237] unpingco
Member: 99 months
Authored: 40 videos
Description: Python for scientific and large-scale computing. ...

Using on-line documentation for a short case study on computing integrals [ID:1371] (3/18)

in series: Scientific and parallel computing using IPython

video tutorial by unpingco, added 04/09

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Scipy and numpy are too vast to discuss their constituent components. Instead, we take a simple case study where we want to compute the integral of sampled data and illustrate how to use the on-line documentation effectively.

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  • Published: 88 months ago

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11. espn live stream free online Thu, 19 Aug 2010 23:43

Hi man, you can't imagine how useful this was to me !!!

Thanks to you, I don't need to go searching for hours on google...

10. mbt 928 grout Mon, 17 May 2010 22:18

Excellent overview of iPython, scipy and numpy features. Best starting point for exploring the 3 products

9. christian louboutin outlet online Wed, 12 May 2010 13:45

Thanks. Your video is very well done and to the point. It's helping me come up to speed on the massive amount of functionality in NumPy and SciPy.

8. seo plugin Sun, 07 Feb 2010 22:12

very interesting, thank you! but i need to do quite some math study.

7. anonymous Wed, 25 Nov 2009 23:47

Thank you for making this. It was brief, and useful on my journey to learning python.

6. anonymous Thu, 24 Sep 2009 11:45


5. anonymous Thu, 23 Jul 2009 22:09

Very useful. Thoughtfully composed video! I didnt know there was so much stuff built into numpy/scipy stuff -- does it completely subsume all of R's functionality?

4. anonymous Fri, 08 May 2009 11:45


3. anonymous Tue, 05 May 2009 07:48

Great illustration of numpy,matplotlib and scipy in action!!

I've got to do a numpy tutorial for my local python users group this is excellent material

I checking out you sage stuff now

2. anonymous Sun, 03 May 2009 14:10

Really nice to see SciPy & NumPy in action. Thanks for your time.

Very nice and informative!!!! thank you

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