Introduction to Programming in Python: An Interdisciplinary Approach

Today, anyone in a scientific or technical discipline needs programming

skills. Python is an ideal first programming language, and **_** Introduction

to Programming in Python **_** is the best guide to learning it. Princeton

University's Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an

accessible, interdisciplinary introduction to programming in Python that

emphasizes important and engaging applications, not toy problems. The authors

supply the tools needed for students to learn that programming is a natural,

satisfying, and creative experience. This example-driven guide focuses on

Python's most useful features and brings programming to life for every student

in the sciences, engineering, and computer science. Coverage includes

Basic elements of programming: variables, assignment statements, built-in data

types, conditionals, loops, arrays, and I/O, including graphics and sound

Functions, modules, and libraries: organizing programs into components that

can be independently debugged, maintained, and reused Object-oriented

programming and data abstraction: objects, modularity, encapsulation, and more

Algorithms and data structures: sort/search algorithms, stacks, queues, and

symbol tables Examples from applied math, physics, chemistry, biology, and

computer science--all compatible with Python 2 and 3 Drawing on their

extensive classroom experience, the authors provide Q &As, exercises, and

opportunities for creative practice throughout. An extensive amount of

supplementary information is available at

[introcs.cs.princeton.edu/python](http://introcs.cs.princeton.edu/python).

With source code, I/O libraries, solutions to selected exercises, and much

more, this companion website empowers people to use their own computers to

teach and learn the material.