(MOBI) Python for Data Analysis

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      Python for Data Analysis
      by Wes McKinney

      🔗 Python for Data Analysis : READ MORE 🔗

      • Release date: October 2012
      • Language: english
      • ISBN: 9781449319793 (1449319793)
      • Publisher: O’Reilly Media
      • Author: Wes McKinney
      • Genres: programming, technology, technical, reference, coding, computers, textbooks, science
      • Format: paperback, 400 pages
      • First published: December 30, 2011

      About The Book

      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 environment

      Learn basic and advanced NumPy (Numerical Python) features

      Get started with data analysis tools in the pandas library

      Use high-performance tools to load, clean, transform, merge, and reshape data

      Create scatter plots and static or interactive visualizations with matplotlib

      Apply the pandas groupby facility to slice, dice, and summarize datasets

      Measure data by points in time, whether it’s specific instances, fixed periods, or intervals

      Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

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