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GeezerVison is showing github.com — cssGradWorkshops/ScientificPython at master · dmasad/cssGradWorkshops

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Class demo.ipynb
Class demo.ipynb
 
 
Data Analysis.ipynb
Data Analysis.ipynb
 
 
Intro to NetworkX.ipynb
Intro to NetworkX.ipynb
 
 
Intro to Scientific Python.ipynb
Intro to Scientific Python.ipynb
 
 
MovieData.csv
MovieData.csv
 
 
Pandas Dataframe.ipynb
Pandas Dataframe.ipynb
 
 
Readme.md
Readme.md
 
 
finalPlot.pdf
finalPlot.pdf
 
 
groupsData.csv
groupsData.csv
 
 

Readme.md

Outline

Scientific Computing with Python

This workshop was on using Python, the IPython notebook, Numpy, Scipy and Matplotlib.

REQUIREMENTS:

Python 2.X (NOT Python 3)

IPython 0.13

NumPy + SciPy

Matplotlib

You can also use the Enthought Python Distribution which will install all the necessary libraries and packages for you.

Launching the IPython Notebook

Open a terminal (command prompt in Windows) and navigate to the directory where you want to work; this is where your notebook files will be stored.

To launch the notebook, simply enter:

>ipython notebook

To launch the notebook with inline plotting, enter:

>ipython notebook --pylab inline

To view IPython notebooks hosted online (e.g. in this GitHub repository), use the IPython Notebook Viewer.

Class notes:

Sample notebook

The notebook we created during the workshop. (Not very well organzied)

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