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Learning pandas

High performance data manipulation and analysis using Python

Publisher:Packt Publishing Limited
Paid access
|Jul 2017
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Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery

Key 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

Book Description

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.

What you will 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

Who this book is for

This book is ideal for data scientists, data analysts, Python programmers who want to plunge into data analysis using pandas, and anyone with a curiosity about analyzing data. Some knowledge of statistics and programming will be helpful to get the most out of this book but not strictly required. Prior exposure to pandas is also not required.

Table of Contents

  1. pandas and Data Science and Analysis
  2. Up and running with pandas
  3. Representing univariate data with the Series
  4. Representing tabular and multivariate data with the DataFrame
  5. Manipulation and indexing of DataFrame objects
  6. Indexing Data
  7. Categorical Data
  8. Numeric and Statistical Methods
  9. Grouping and Aggregating Data
  10. Tidying Up Your Data
  11. Combining, Relating and Reshaping Data
  12. Data Aggregation
  13. Time-Series Modelling
  14. Visualization
  15. Applications to Finance
PDF ISBN: 978-1-78712-031-0
Publisher: Packt Publishing Limited
Copyright owner: © 2017 Packt Publishing Limited
Publication date: 2017
Language: English
Pages: 446
Related subjects:
Computer sciences,
Databases and data mining

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