Python for Data Analysis

We are going to present some of topics contained in the new book Python for Data Analysis (http://shop.oreilly.com/product/0636920023784.do).

1. Matplotlib - Juan González-Vallinas (10 minutes)

2.IPython

2.1 Quick introduction to IPython - Areski (5 minutes)

2.2 IPython Notebook - Areski (10 minutes)

3. Introduction to Pandas - Maik Röder (10 minutes)

4. Scipy

4.1 Introduction to Scipy - Guillem Serra (10 minutes)

4.2 Practical example of using Scipy for signal processing and filtering - Guillem Serra (5 minutes)

5. Scikit-learn

5.1 Introduction to Scikit-learn (Using IPython Notebook) - Piotr Migdal (10 minutes)

5.2 Practical example of using Scikit-learn for Machine learning - Marc Garcia (10 minutes)

6. Numpy

6.1 Introduction to Numpy - Francesco Benincasa (10 minutes)

6.1 Using Numpy to read from NetCDF scientific format - Francesco Benincasa (5 minutes)

6.2. GPU powered numpy with gnumpy - Xavier Arrufat (5 minutes)