Python for data analysis: data wrangling with pandas, numpy, and ipython pdf english free

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  • Python for data analysis: data wrangling with pandas, numpy, and ipython by Wes Mckinney

    ISBN 13: 9781306813099

    Uploaded: 1989 times

    The author of the book: Wes Mckinney

    Last download: 6 days ago

    Date of issue: May 27th 2014

    Page views: 5848

    ISBN: 1306813093

    Edition: O'Reilly Media

    Book Title: Python for data analysis: data wrangling with pandas, numpy, and ipython



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Read full description of the books: Python for data analysis: data wrangling with pandas, numpy, and ipython

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 you ll 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. It s 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 it s specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples



Reviews for the book Python for data analysis: data wrangling with pandas, numpy, and ipython


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