"Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second 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, IPython, and Jupyter in the process"--Page 4 of cover

• Preliminaries
• Python language basics, IPython, and Jupyter notebooks
• Built-in data structures, functions, and files
• NumPy basics: arrays and vectorized computation
• Getting started with pandas
• Data loading, storage, and file formats
• Data cleaning and preparation
• Data wrangling: join, combine, and reshape
• Plotting and visualization
• Data aggregation and group operations
• Time series
• Advanced pandas
• Introduction to modeling libraies in Python
• Data analysis examples
• Advanced NumPy
• More on the IPython system