图书简介
Introduction to Python Programming for Business and Social Science Applications shows you how to gather and analyze big data sets, and visualize the output, all in one program. Written for those with no programming background, this book will teach you how to use Python for your research and data analysis.
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 \\ Chapter 1 • Introduction to Python \\ Learning Objectives \\ Introduction \\ Brief Introduction to Python and Programming \\ Setting Up a Python Development Environment \\ Executing Python Code in the IDLE Shell Window \\ Executing Python Code in Files \\ Package Managers \\ Data Sets Used Throughout the Book \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 2 • Building Blocks of Programming \\ Learning Objectives \\ Introduction \\ Good Programming Practice \\ Basic Elements of Python Code \\ Python Code Statements \\ Errors \\ Functions \\ Using Modules of Python Code \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 3 • Further Foundations of Python Programming \\ Learning Objectives \\ Introduction \\ Compound Data Types \\ Lists \\ String Objects \\ Sequence Operations \\ Tuples \\ Dictionaries \\ Example Using Tuples and Dictionaries \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 4 • Control Logic and Loops \\ Learning Objectives \\ Introduction \\ Conditions \\ Conditional Logic \\ Loops \\ Error Handling \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 5 • Reading and Writing to Files Using Python \\ Learning Objectives \\ Introduction \\ Data Input/Output: Using files \\ CSV Files \\ Exporting Our Results \\ Working With Database Files \\ Developing an Interactive Application Using a Database \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ Discussion Questions \\ References \\ Chapter 6 • Preparing and Working With Data Using Pandas \\ Learning Objectives \\ Introduction \\ NumPy \\ Pandas Data Structures \\ Creating Dummy Variables \\ Chapter Summary \\ Glossary \\ Discussion Questions \\ End of Chapter Exercises \\ References \\ Chapter 7 • Obtaining Data From the Web Using Python \\ Learning Objectives \\ Introduction \\ HTML: The Language of the Web \\ Using Python to Read From HTML Files \\ Obtaining GSS Data From the Web: A More Complicated Process \\ Ethical Issues: Inappropriate Use of Web Resources \\ Beautiful Soup \\ JSON: Obtaining Well-Structured Data \\ REST API Queries: A Standardized Way to Access Well-Structured Data \\ Chapter Summary \\ Glossary \\ Discussion Questions \\ End of Chapter Exercises \\ References \\ Chapter 8 • Statistical Calculations Using Python \\ Learning Objectives \\ Introduction \\ Ethical Issues: Considerations When Working With Statistics and Building Models \\ Basic Statistics \\ Using Statistical Modules \\ Pandas Features \\ SciPy Stats Module \\ Statsmodels Module for Multiple Regression \\ Statsmodels Module for Logistic Regression \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 9 • Data Visualization Using Python \\ Learning Objectives \\ Introduction \\ Data Visualization \\ Matplotlib: A Python Library to Visualize Your Data \\ Customizing Matplotlib Plots \\ Creating 3D Plots \\ Using Seaborn Package for Statistical Data Visualization \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 10 • Machine Learning and Text Mining \\ Learning Objectives \\ Introduction \\ Machine Learning \\ Supervised Learning \\ Unsupervised Learning \\ Using Python for Text Mining \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ Chapter 11 • Developing Graphical User Interfaces With tkinter \\ Learning Objectives \\ Introduction \\ tkinter Background \\ tkinter Widgets \\ tkinter Layout Manager \\ Examples Placing Different Widgets \\ Writing Python Code to Work With tkinter Widgets \\ Example Program Using Three tkinter Windows \\ GUI-Based Database Application \\ Chapter Summary \\ Glossary \\ End of Chapter Exercises \\ References \\ 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
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