Introduction to Python Programming for Business and Social Science Applications

Frederick Kaefer, Paul Kaefer

• Publisher: SAGE Publications, Inc
• Year: 2020
• Print ISBN: 9781544377445
• eBook ISBN: 9781544377483
• Edition: 1
• Topic: Economics
• Subtopic: Statistics for Business & Economics
• Index: Economics

Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you've learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don't work within Python.

 First there was IBM® SPSS®, then there was R, and now there?s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.

Table of contents

• Cover
• Half Title
• Acknowledgements
• Publisher Note
• Title Page
• Copyright Page
• Brief Contents
• Detailed Contents
• Preface
• Figures and Tables in the Text Related to the GSS Data Set
• Figures and Tables in the Text Related to the Taxi Trips Data Set
• Python Modules and Packages
• Acknowledgments
• About the Authors
• 1 Introduction to Python
• 2 Building Blocks of Programming
• 3 Further Foundations of Python Programming
• 4 Control Logic and Loops
• 5 Reading and Writing to Files Using Python
• 6 Preparing and Working With Data Using Pandas
• 7 Obtaining Data From the Web Using Python
• 8 Statistical Calculations Using Python
• 9 Data Visualization Using Python
• 10 Machine Learning and Text Mining
• 11 Developing Graphical User Interfaces With tkinter
• Appendix A: Links to Other Resources
• Appendix B: Debugging Using IDLE Debug Mode
• Appendix C: Timing Code Execution
• Appendix D: Solutions to Stop, Code, and Understand! Exercises
• Index