https://github.com/chimeracoder/intro-to-scipy-and-numpy
A talk that was given on Nov. 14, 2013 at Columbia University.
https://github.com/chimeracoder/intro-to-scipy-and-numpy
Last synced: 5 months ago
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A talk that was given on Nov. 14, 2013 at Columbia University.
- Host: GitHub
- URL: https://github.com/chimeracoder/intro-to-scipy-and-numpy
- Owner: ChimeraCoder
- License: gpl-3.0
- Created: 2013-11-14T17:16:11.000Z (about 12 years ago)
- Default Branch: master
- Last Pushed: 2013-11-16T21:35:43.000Z (about 12 years ago)
- Last Synced: 2025-06-20T03:04:00.423Z (8 months ago)
- Homepage:
- Size: 398 KB
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
Introduction to SciPy and NumPy
===================================
This IPython notebook is from a talk that was given on Nov. 14, 2013 at Columbia University.
(Earlier versions of this presentation were given, in slideshow form, in 2012, 2011, and 2010)
### Installation and Use
If you have [IPython](http://ipython.org/) installed, you likely already have the [IPython Notebook](http://ipython.org/notebook.html) installed as well.
Open the IPython notebook web view:
````sh
$ ipython notebook
````
From this web view, you can open any `.ipynb` notebook file saved on your local machine.
Either download the notebook file ([NumPy.ipynb](https://raw.github.com/ChimeraCoder/intro-to-numpy-and-scipy/master/NumPy.ipynb)) directly, or clone this repository, and simply open the file in this web view.
#### Preview
A static (non-interactive) preview is available at http://nbviewer.ipython.org/7505630.
However, as this preview does include any of the diagrams, images, or output, you probably just want to download this and run it yourself.
#####Acknowledgements
Special thanks to Anthony Foglia, who provided Powerpoint slides with the two memory layout diagrams, as well as some of the early NumPy examples.