The Python and Pandas Field Guide

An Introduction to Computer and Data Science

anaconda by parkjisun; panda by Liane Kirschner; both from the Noun Project

Table of Contents

• 1. Introduction
  • 1.1. What is This?
  • 1.2. What is a Computer?
  • 1.3. What is Computer Science?
  • 1.4. What is Data Science?
  • 1.5. An Example Program: Word Count
  • 1.6. How to Use This Book
  • 1.7. Conventions Used in This Book
• 2. Values and Variables (Single Pieces of Data)
  • 2.1. Values and Data Types
  • 2.2. Variables
  • 2.3. Expressions
  • 2.4. Operators and Operands
  • 2.5. Input
  • 2.6. Updating Variables
  • 2.7. Good Coding Practices: Comments
  • 2.8. Word Count Example Program (Again)
  • 2.9. Glossary
• 3. Control Structures
  • 3.1. For Loops
  • 3.2. Conditionals
  • 3.3. While Loops
  • 3.4. Booleans
  • 3.5. Loop Control Keywords
  • 3.6. Common Loop Patterns
  • 3.7. Good Coding Practices: Debugging
  • 3.8. Glossary
• 4. Functions
  • 4.1. Function Calls
  • 4.2. Built-In Functions
  • 4.3. Function Definitions
  • 4.4. Glossary
• 5. Strings, Lists, and Files (Multiple Pieces of Data)
  • 5.1. Strings
  • 5.2. Lists
  • 5.3. Files
  • 5.4. Glossary
• 6. Pandas: Series
  • 6.1. Series: Introduction
  • 6.2. Series: Selecting Data
  • 6.3. Series: Updating and Sorting
  • 6.4. Series: Examples
  • 6.5. Series: String Methods
  • 6.6. Series: Grouping
  • 6.7. Series: Other Methods and Examples
• 7. Pandas: Dataframes
  • 7.1. Dataframes: Basics
  • 7.2. Dataframes: Selecting Data
  • 7.3. Dataframes: Basic Operations
  • 7.4. Dataframes: Boolean Combinations and Negations
  • 7.5. Dataframes: Grouping Methods
• 8. Statistics
  • 8.1. Descriptive Statistics
  • 8.2. Correlations
• 9. Visualization with Seaborn
  • 9.1. Introduction
  • 9.2. Basic Figure Creation with Seaborn
  • 9.3. Line Plots
  • 9.4. Categorical Plots
  • 9.5. Histograms
  • 9.6. Box Plots
  • 9.7. Scatter Plots
• 10. Data Cleaning
  • 10.1. Introduction
  • 10.2. Examining the Dataframe for Errors
  • 10.3. Missing or Null Values
  • 10.4. Duplicate Entries
  • 10.5. Converting String and Mixed Columns to Numeric
  • 10.6. Dealing with Whitespace in Strings
  • 10.7. Example with ‘hangout’
• 11. Classes (Defining New Kinds of Objects)
  • 11.1. Objects (Refresher)
  • 11.2. Classes

Appendices

• Contributions
• License

Index and Search

• Index

• Search Page