Table of Contents

Foreword by Anne Brown

Foreword by Jared Lander

Preface

Acknowledgments

About the Author

Part I. Introduction

     Chapter 1. Pandas DataFrame Basics

     Chapter 2. Pandas Data Structures Basics

     Chapter 3. Plotting Basics

     Chapter 4. Tidy Data

     Chapter 5. Apply Functions

Part II. Data Processing

     Chapter 6. Data Assembly

     Chapter 7. Data Normalization

     Chapter 8. Groupby Operations: Split-Apply-Combine

Part III. Data Types

     Chapter 9. Missing Data

     Chapter 10. Data Types

     Chapter 11. Strings and Text Data

     Chapter 12. Dates and Times

Part IV. Data Modeling

     Chapter 13.Linear Regression (Continuous Outcome Variable)

     Chapter 14. Generalized Linear Models

     Chapter 15. Survival Analysis

     Chapter 16. Model Diagnostics

     Chapter 17. Regularization

     Chapter 18. Clustering

Part V. Conclusion

     Chapter 19. Life Outside of Pandas

     Chapter 20. It’s Dangerous to Go Alone!

Appendices

About the Author

Daniel Chen is a graduate student in the Interdisciplinary PhD program in Genetics, Bioinformatics & Computational Biology (GBCB) at Virginia Polytechnic Institute and State University (Virginia Tech). He is involved with Software Carpentry as an instructor, Mentoring Committee Member, and currently serves as the Assessment Committee Chair. He completed his Masters in Public Health at Columbia University Mailman School of Public Health in Epidemiology with a certificate in Advanced Epidemiology and currently extending his Master's thesis work in the Social and Decision Analytics Laboratory under the Virginia Bioinformatics Institute on attitude diffusion in social networks.