Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

By | February 11, 2018
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Author Wes McKinney
ISBN-10 1449319793
ISBN-13 9781449319793
Year 2012-11-01
Pages 466
Language English
Publisher O’Reilly Media
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Python for Data Analysis is concerned with the nuts and bolts of manipulating processing cleaning and crunching data in Python It is also a practical modern introduction to scientific computing in Python tailored for data intensive applications This is a book about the parts of the Python language and libraries youll need to effectively solve a broad set of data analysis problems This book is not an exposition on analytical methods using Python as the implementation language Written by Wes McKinney the main author of the pandas library this hands on book is packed with practical cases studies Its ideal for analysts new to Python and for Python programmers new to scientific computing Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy Numerical Python featuresGet started with data analysis tools in the pandas libraryUse high performance tools to load clean transform merge and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice dice and summarize datasetsMeasure data by points in time whether its specific instances fixed periods or intervalsLearn how to solve problems in web analytics social sciences finance and economics through detailed examples

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