Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Paperback – 1 Nov 2012
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Data Wrangling with Pandas, NumPy, and IPython
About the Author
Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as aquantitative analyst at AQR Capital Management and Python consultantbefore founding DataPad, a data analytics company, in 2013. Hegraduated from MIT with an S.B. in Mathematics.
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This book is really about pandas (the author is the main author of pandas, after all), and less about either numpy or ipython or other tools. I don't mean that as a criticism. It is precisely as it should be. If you are doing strictly data analysis in python, it is pandas primarily that is center stage, with tools like numpy/ipython etc playing supporting roles. What this book does convey, however, is just how well all these tools work together and how they form a big team for scientific/numerical computing in python.
This book is detailed and extensive. It is entirely focused on well thought out follow-along-yourself code examples, and this makes it a remarkable effective way to learn pandas especially, but also to learn more about numpy/ipython/matplotlib etc.
If you do data analysis in python, this book is a must have. It is highly recommended too for anyone doing scientific/numerical computing in python generally.