Learn Data Analysis with Python

Lessons in Coding

  • A.J. Henley
  • Dave Wolf

Table of contents

  1. Front Matter
    Pages i-ix
  2. A. J. Henley, Dave Wolf
    Pages 1-4
  3. A. J. Henley, Dave Wolf
    Pages 5-18
  4. A. J. Henley, Dave Wolf
    Pages 19-53
  5. A. J. Henley, Dave Wolf
    Pages 55-68
  6. A. J. Henley, Dave Wolf
    Pages 69-87
  7. A. J. Henley, Dave Wolf
    Pages 89-93
  8. Back Matter
    Pages 95-97

About this book


Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format. Learn Data Analysis with Python also helps you discover meaning in the data using analysis and shows you how to visualize it.  

Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects.

If you aren’t using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished.

You will:
  • Get data into and out of Python code
  • Prepare the data and its format
  • Find the meaning of the data
  • Visualize the data using iPython


Python data analysis big data machine learning data science code learn program source software application

Authors and affiliations

  • A.J. Henley
    • 1
  • Dave Wolf
    • 2
  1. 1.Washington, D.C.USA
  2. 2.Sterling Business Advantage, LLC AdamstownUSA

Bibliographic information

Industry Sectors
Chemical Manufacturing
Finance, Business & Banking
IT & Software
Oil, Gas & Geosciences