Who this book is for

This book is for people with basic knowledge of Python and Mathematics who want to learn how to use Python software to analyze data. We try to keep things simple, but it's not possible to cover all the topics in great detail. It may be useful for you to refresh your knowledge of Mathematics via Khan Academy, Coursera, or Wikipedia.

I would recommend the following books by Packt Publishing for further reading:

• Building Machine Learning Systems with Python, Willi Richert and Luis Pedro Coelho (2013)
• Learning Cython Programming, Philip Herron (2013)
• Learning NumPy Array, Ivan Idris (2014)
• Learning scikit-learn: Machine Learning in Python, Raúl Garreta and Guillermo Moncecchi (2013)
• Learning SciPy for Numerical and Scientific Computing, Francisco J. Blanco-Silva (2013)
• Matplotlib for Python Developers, Sandro Tosi (2009)
• NumPy Beginner's Guide - Second Edition, Ivan Idris (2013)
• NumPy Cookbook, Ivan Idris (2012)
• Parallel Programming with Python, Jan Palach (2014)
• Python Data Visualization Cookbook, Igor Milovanovi? (2013)
• Python for Finance, Yuxing Yan (2014)
• Python Text Processing with NLTK 2.0 Cookbook, Jacob Perkins (2010)