Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery
This learner's guide will help you understand how to use the features of pandas for interactive data manipulation and analysis.
This book is your ideal guide to learning about pandas, all the way from installing it to creating one- and two-dimensional indexed data structures, indexing and slicing-and-dicing that data to derive results, loading data from local and Internet-based resources, and finally creating effective visualizations to form quick insights. You start with an overview of pandas and NumPy and then dive into the details of pandas, covering pandas' Series and DataFrame objects, before ending with a quick review of using pandas for several problems in finance.
With the knowledge you gain from this book, you will be able to quickly begin your journey into the exciting world of data science and analysis.
What You Will Learn
Install pandas on Windows, Mac, and Linux using the Anaconda Python distribution
Learn how pandas builds on NumPy to implement flexible indexed data
Adopt pandas' Series and DataFrame objects to represent one- and two-dimensional data constructs
Index, slice, and transform data to derive meaning from information
Load data from files, databases, and web services
Manipulate dates, times, and time series data
Group, aggregate, and summarize data
Visualize techniques for pandas and statistical data
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