• Intro to Programming
  • 1.  Elements of Programming
    • 1.1  Your First Program
    • 1.2  Built-in Types of Data
    • 1.3  Conditionals and Loops
    • 1.4  Arrays
    • 1.5  Input and Output
    • 1.6  Case Study: PageRank
  • 2.  Functions
    • 2.1  Defining Functions
    • 2.2  Modules and Clients
    • 2.3  Recursion
    • 2.4  Case Study: Percolation
  • 3.  OOP
    • 3.1  Using Data Types
    • 3.2  Creating Data Types
    • 3.3  Designing Data Types
    • 3.4  Case Study: N-Body
  • 4.  Data Structures
    • 4.1  Performance
    • 4.2  Sorting and Searching
    • 4.3  Stacks and Queues
    • 4.4  Symbol Tables
    • 4.5  Case Study: Small World

• Related Booksites
• Web Resources
  • FAQ
  • Code
  • Errata
  • Appendices
    • A.   Python Operator Precedence
    • B.   Writing Clear Code
    • C.   Gaussian Distribution
    • D.   Python Cheatsheet
    • E.   NumPy

Appendices

The appendices provide some supplemental material.

• Appendix A: Python Operator Precedence describes the order in which the operators within an expression are evaluated when the expression has several operators.
• Appendix B: Composing Clear Code provides numerous suggestions for composing code that is easy to read and understand.
• Appendix C: Gaussian Distribution surveys some of the most important properties of the Gaussian distribution.
• Appendix D: Python Cheatsheet summarizes the most widely used Python language features.
• Appendix E: The NumPy Library summarizes the popular NumPy library.

Copyright © 2000–2015 by Robert Sedgewick, Kevin Wayne, and Robert Dondero. All rights reserved.