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.
Author(s): A.J. Henley, Dave Wolf
Publisher: Apress
Year: 2017
Language: English
Pages: 97
City: S.l.
Tags: Computers & Technology;Industries;Business & Money;Data Mining;Databases & Big Data;Computers & Technology;Python;Programming Languages;Computers & Technology
Front Matter ....Pages i-ix
How to Use This Book (A. J. Henley, Dave Wolf)....Pages 1-4
Getting Data Into and Out of Python (A. J. Henley, Dave Wolf)....Pages 5-18
Preparing Data Is Half the Battle (A. J. Henley, Dave Wolf)....Pages 19-53
Finding the Meaning (A. J. Henley, Dave Wolf)....Pages 55-68
Visualizing Data (A. J. Henley, Dave Wolf)....Pages 69-87
Practice Problems (A. J. Henley, Dave Wolf)....Pages 89-93
Back Matter ....Pages 95-97