Description

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You�?�¢??ll learn the latest versions of pandas, NumPy, and Jupyter in the process.

Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It�?�¢??s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.

   Use the Jupyter notebook and IPython shell for exploratory computing
   Learn basic and advanced features in NumPy
   Get started with data analysis tools in the pandas library
   Use flexible tools to load, clean, transform, merge, and reshape data
   Create informative visualizations with matplotlib
   Apply the pandas groupby facility to slice, dice, and summarize datasets
   Analyze and manipulate regular and irregular time series data
   Learn how to solve real-world data analysis problems with thorough, detailed examples

Book Details

   Language: English
   Published: 2021
   ISBN: 9781098104016
   Format: EPUB