Table of Contents

1 Introduction 5

2 Equality and Comparison 15

3 Data Types 19

4 Dates 27

5 Lists 33

6 Tuples 45

7 Dictionaries 49

8 Loops, if, else and while 55

9 Assigning variables 71

10 Strings 77

11 Dealing with files 89

12 Functions and Classes 97

13 Numpy 117

14 Pandas 123

15 Advanced Pandas methods 151

16 Plotting 219

About the Author

Rob Mastrodomenico, PhD, is a quant/statistician/data scientist with a focus on modelling sports. He received his doctorate in Applied Statistics. He has practical experience with languages like Python, R, Java, and C++, as well as database experience with MySQL and SQL Server. He has taught his Introduction to Python course numerous times at the Royal Statistical Society.