To summarize these benefits, Python is a comfortable and flexible vehicle for
expressing ideas about computation, both for beginners and for experts as well. If
students learn these ideas well in the first course, they should have no problems
making a quick transition to other languages needed for courses later in the cur-
riculum. Most importantly, beginning students will spend less time staring at a
computer screen and more time thinking about interesting problems to solve.
Organization of the Book
The approach of this text is easygoing, with each new concept introduced only
when it is needed.
Chapter 1 introduces computer science by focusing on two fundamental
ideas, algorithms and information processing. A brief overview of computer hard-
ware and software, followed by an extended discussion of the history of comput-
ing, sets the context for computational problem solving.
Chapters 2 and 3 cover the basics of problem solving and algorithm develop-
ment using the standard control structures of expression evaluation, sequencing,
Boolean logic, selection, and iteration with the basic numeric data types.
Emphasis in these chapters is on problem solving that is both systematic and
experimental, involving algorithm design, testing, and documentation.
Chapters 4 and 5 introduce the use of the strings, text files, lists, and diction-
aries. These data structures are both remarkably easy to manipulate in Python
and support some interesting applications. Chapter 5 also introduces simple func-
tion definitions as a way of organizing algorithmic code.
Chapter 6 explores the technique and benefits of procedural abstraction with
function definitions. Top-down design, stepwise refinement, and recursive design
with functions are examined as means of structuring code to solve complex prob-
lems. Details of namespace organization (parameters, temporary variables, and
module variables) and communication among software components are discussed.
An optional section on functional programming with higher-order functions
shows how to exploit functional design patterns to simplify solutions.
Chapter 7 focuses on the use of existing objects and classes to compose pro-
grams. Special attention is paid to the interface, or set of methods, of a class of
objects and the manner in which objects cooperate to solve problems. This chapter
also introduces two contemporary applications of computing, graphics and image
processing—areas in which object-based programming is particularly useful.
PREFACE
[ xv ]
Copyright 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).
Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.
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