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

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

Now you can Read Book Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython with detailed description:

Product Description

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

Product Details

• Sales Rank: #3247 in Books
• Published on: 2012-11-01
• Released on: 2012-11-01
• Original language: English
• Number of items: 1
• Dimensions: 9.19" h x .90" w x 7.00" l, 1.59 pounds
• Binding: Paperback
• 466 pages

1449319793

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