In the prior chapter we met Python’s two looping statements,
Although they can handle most repetitive tasks programs need to perform, the
need to iterate over sequences is so common and pervasive that Python
provides additional tools to make it simpler and more efficient. This
chapter begins our exploration of these tools. Specifically, it presents the
related concepts of Python’s iteration protocol, a
method-call model used by the
and fills in some details on list comprehensions, which
are a close cousin to the
loop that applies an expression to items in an iterable.
Because these tools are related to both the
for loop and functions, we’ll take a two-pass
approach to covering them in this book, along with a postscript:
This chapter introduces their basics in the context of looping tools, serving as something of a continuation of the prior chapter.
Chapter 20 revisits them in the context of function-based tools, and extends the topic to include built-in and user-defined generators.
Chapter 30 also provides a shorter final installment in this story, where we’ll learn about user-defined iterable objects coded with classes.
In this chapter, we’ll also sample additional iteration tools in Python, and touch on the new iterables available in Python 3.X—where the notion of iterables grows even more pervasive.
One note up front: some of the concepts presented in these chapters may seem advanced at first glance. With practice, ...