In this video from PyCon Australia, Edward Schofield presents a tutorial on using the latest tools in Python for scientific and engineering Big Data applications. Using real-world data sets and a fully Python 3 environment, Schofield walks you through what’s possible with modern tools like the machine-learning package scikit-learn, the image-processing package scikit-image, the Pandas toolkit for data analysis, and IPython-parallel. He also reviews the upcoming generation of tools like Numba and Blaze.
Video: Modern Scientific Computing and Big Data Analytics in Python
July 11, 2013 by