Learning pandas - Second Edition

More Information
Learn
  • Understand how data analysts and 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 pandas Series and DataFrame objects to represent single and multivariate data
  • Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources
  • How to access data from external sources such as files, databases, and web services
  • Represent and manipulate time-series data and the many of the intricacies involved with this type of data
  • How to visualize statistical information
  • How to use pandas to solve several common data representation and analysis problems within finance
About

You will learn how to use pandas to perform data analysis in Python. You will start with an overview of data analysis and iteratively progress from modeling data, to accessing data from remote sources, performing numeric and statistical analysis, through indexing and performing aggregate analysis, and finally to visualizing statistical data and applying pandas to finance.

With the knowledge you gain from this book, you will quickly learn pandas and how it can empower you in the exciting world of data manipulation, analysis and science.

Features
  • Get comfortable using pandas and Python as an effective data exploration and analysis tool
  • Explore pandas through a framework of data analysis, with an explanation of how pandas is well suited for the various stages in a data analysis process
  • A comprehensive guide to pandas with many of clear and practical examples to help you get up and using pandas
Page Count 446
Course Length 13 hours 22 minutes
ISBN 9781787123137
Date Of Publication 29 Jun 2017

Authors

Michael Heydt

Michael Heydt is an independent consultant, programmer, educator, and trainer. He has a passion for learning and sharing his knowledge of new technologies. Michael has worked in multiple industry verticals, including media, finance, energy, and healthcare. Over the last decade, he worked extensively with web, cloud, and mobile technologies and managed user experiences, interface design, and data visualization for major consulting firms and their clients. Michael's current company, Seamless Thingies , focuses on IoT development and connecting everything with everything.

Michael is the author of numerous articles, papers, and books, such as D3.js By Example, Instant Lucene. NET, Learning Pandas, and Mastering Pandas for Finance, all by Packt. Michael is also a frequent speaker at .NET user groups and various mobile, cloud, and IoT conferences and delivers webinars on advanced technologies.