Talk Introduction to Scientific Computing with Scipy

Presented by Ralf Gommers in Introductory tutorial track 2012 on 2012/08/24 from 14:00 to 17:30

We give a brief overview of the core of the SciPy tool stack: numpy, scipy, matplotlib and IPython. We then interactively explore different components of SciPy, such as interpolation, optimization, integration, statistics and image processing. To conclude, we briefly discuss some external tools that form part of the eco-system, such as nose and Sphinx.


Ability to edit and run Python scripts, familiarity with NumPy arrays

Software requirements

IPython, NumPy (>= 1.5.1), SciPy (>= 0.8.0), matplotlib [1]

Make sure that you can execute the following commands before the tutorial:

import numpy
print numpy.__version__

import scipy
print scipy.__version__

import matplotlib.pyplot as plt
plt.plot([1, 2, 3])
[1]See: or for one-click installers