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

Here is Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython eBook or ePub.


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

price: $27.68 Buy Now

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

Python For Data Analysis Data Wrangling With Pandas Numpy And Ipython

Total Download : 1772 | Total Read : 3286 | Total Likes: 7932


Author by : Wes McKinney
Languange Used : English
Release Date :
Publisher by : O'Reilly Media






Python For Data Analysis Data Wrangling With Pandas Numpy And Ipython

Total Download : 5822 | Total Read : 1587 | Total Likes: 8950


Author by : Wes McKinney
Languange Used : English
Release Date : 2012-11-01
Publisher by : O'Reilly Media






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