Loading, please wait...
:

product description page

Learn Data Analysis With Python : Lessons in Coding - by A. J. Henley & Dave Wolf (Paperback)

Learn Data Analysis With Python : Lessons in Coding -  by A. J. Henley & Dave Wolf (Paperback) - image 1 of 1

About this item

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.

What You Will Learn
  • 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

Who This Book Is For

Those who want to learn data analysis using Python. Some experience with Python is recommended but not required, as is some prior experience with data analysis or data science.

Number of Pages: 97
Genre: Computers + Internet
Format: Paperback
Publisher: Springer Verlag
Author: A. J. Henley & Dave Wolf
Language: English
Street Date: February 23, 2018
TCIN: 53393294
UPC: 9781484234853
Item Number (DPCI): 248-64-3898
If the item details above aren’t accurate or complete, we want to know about it. Report incorrect product info.

Guest reviews

Prices, promotions, styles and availability may vary by store & online. See our price match guarantee. See how a store is chosen for you.