Python for Data Science

Welcome to Python for Data Science

Introduction

1. Introduction to Programming
2. Introduction to Python
3. Introduction to Jupyter

Python Basics

Arithmetic Operations
Addition and Subtraction
Multiplication and Division
Exponentiation and Roots
Order of Operations
Modulus and Floor Division
Modulus and Floor Division
Floating-Point Representation
5. Variables

Basic Data Types

6. Numeric Data Types
- Integers
- Floats
7. Strings
8. Boolean Values
9. Additional Data Type Topics

Collections

10. Lists
11. Tuples
12. Dictionaries
13. Sets

Control Flow

14. For Loops
15. While Loops
16. Conditional Statements
- Examples of Conditional Statements
- Conditionals in Comprehensions
17. Error Handling
- Page 1
- Page 2

Functions and Classes

18. Functions

Packages

Math
Time
OS
ZipFile
NumPy
Pandas

JB Junk

Content in Jupyter Book
Markdown Files
Content with notebooks

Appendix

To Do
Glossary
Markdown Files

Powered by Jupyter Book

`zip()`¶

# to be added

enumerate() List Comprehensions

By Robbie Beane
© Copyright 2020.