GETTING STARTED WITH PYTHON

• Introduction to Programming Using Python
• Setting Up Your Development Environment
• Command Line Basics
• It’s Time for Happy Hour
• Wrapping Up

PYTHON BASICS, PART 1

• Two Ways of Running Python Code
• Printing
• Debugging Errors and Googling
• Comments
• Variables
• Numbers and Math
• Strings
• Getting User Input
• Wrapping Up

PYTHON BASICS, PART 2

• Conditional Statements
• Logic in Python
• Making if.py Case Insensitive
• Lists
• Looping Over Lists
• FizzBuzz
• Dictionaries
• Wrapping Up

PYTHON BASICS, PART 3

• Introduction to Functions
• Importing Python Packages
• Wrapping Up
• End of Part 1

INTRODUCTION TO DATA IN PYTHON

• What You’ll Need for This Chapter
• An Introduction to Jupyter Notebook
• The Data
• The pandas Library
• Reading and Writing Data
• Column Types
• Wrapping Up

EXPLORING, PLOT TING, AND MODIFYING DATA IN PYTHON

• What You’ll Need for This Chapter
• Sorting Data in pandas
• Plotting Data in pandas
• Exploring Data in pandas
• Filtering DataFrames
• Operating on Columns
• Editing DataFrames
• More Practice
• Wrapping Up

BRINGING TOGETHER DATASETS

• What You’ll Need for This Chapter
• Combining Datasets: An Introduction
• Some Toy Datasets
• The Five Types of Joins
• Joins in pandas
• Picking the Right Kind of Join
• Primary Keys and Joins
• Constructing the Dig Order Dataset
• Wrapping Up

AGGREGATION

• What You’ll Need for This Chapter
• The Basics of Aggregation
• Calculations on Multiple Columns
• More Complex Grouping
• Wrapping Up

PRACTICE

• What You’ll Need for This Chapter
• New Product Analytics: Creating Fertile Ground for Success
• The Next Frontier: Designing Dig’s Delivery-Specific Menu
• Staffing for Success
• Democratizing Data: The Summarized Order Dataset
• Finding Fertile Ground for a New Delivery Service
• Understanding Your Customers: Are Salad Eaters Healthier?
• Orders and Weather
• Wrapping Up