Learning Pandas - Second Edition

English | July 6, 2017 | ISBN: 1787123138 | 808 Pages | ePub/PDF(conv) | 35 MB

Key Features
Get comfortable in using pandas and Python as an effective data exploration and analysis tool
Explore pandas through a framework of data science, with explanation of how pandas is well suited for various stages in a data analysis process
A comprehensive guide with lots of practical examples to help you get up and running with pandas
Book Description
You will start with understanding how to represent single and multivariate data, and perform important tasks on your datasets to discover insights previously hidden from view. You will learn how to populate and manipulate and analyze the data in various ways. In the end, you will see how to use pandas to model and understand simple problems in Finance, which is pandas' biggest use-case.
With the knowledge you gain from this book, you will be able to quickly be able to learn pandas and how it can facilitate you in the exciting world of data science and analysis.
What you will learn
Understand how data scientists think about of the processes of gathering and understanding data
Learn how pandas can be used to support the end to end process of data analysis
Use the pandas Series and DataFrame objects to represent single and multivariate data
Slice and dice data with pandas, as well as combine, group and aggregate data from multiple sources
Accessing data from external sources such as files, databases and web services
Represent and manipulate data that changes over time and many of the intricacies involved with this type of data
Combine, aggregate and summarize your data
Use data visualization to see meaning in the underlying data
Use pandas to solve several common data representation and analysis problems within finance

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