Preface to the Second Edition
Preface to the First Edition
1.Introduction
The Ascendance of Data
What Is Data Science?
Motivating Hypothetical: DataSciencester
Finding Key Connectors
Data Scientists You May Know
Salaries and Experience
Paid Accounts
Topics of Interest
Onward
2.A Crash Course in Python
The Zen of Python
Getting Python
Virtual Environments
Whitespace Formatting
Modules
Functions
Strings
Exceptions
Lists
Tuples
Dictionaries
defauhdict
Counters
Sets
Control Flow
Truthiness
Sorting
List Comprehensions
Automated Testing and assert
Object-Oriented Programming
Iterables and Generators
Randomness
Regular Expressions
Functional Programming
zip and Argument Unpacking
args and kwargs
Type Annotations
How to Write Type Annotations
Welcome to DataSciencester!
For Further Exploration
3.Visualizing Data
matploflib
Bar Charts
Line Charts
Scatterplots
For Further Exploration
4.Linear Algebra
……