Iteration

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A generator object supports the iterator protocol. That is, it provides a next() method (__next__() in Python 3.x), which is used to step through its execution, and its __iter__ method returns itself. This means that a generator can be used in any language construct which supports generic iterable objects.

# naive partial implementation of the Python 2.x xrange()
def xrange(n):
    i = 0
    while i < n:
        yield i
        i += 1

# looping
for i in xrange(10):
    print(i)  # prints the values 0, 1, ..., 9

# unpacking
a, b, c = xrange(3)  # 0, 1, 2

# building a list
l = list(xrange(10))  # [0, 1, ..., 9]

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Generators:
* Iteration

Table Of Contents
2 Filter
3 List
7 Loops
20 Generators
22 Reduce
27 Classes
31 Set
42 Tuple
45 Enum
62 Sockets
89 urllib
92 Idioms
104 Stack
105 Profiling
109 Logging
111 os module
118 Mixins
120 ArcPy
126 Arrays
132 2to3 tool
135 Unicode
138 Neo4j
140 Curses
141 Templates
145 heapq
146 tkinter
154 Audio
155 pyglet
157 ijson
160 Flask
161 Groupby
163 pygame
165 hashlib
166 Gzip
167 ctypes
185 pyaudio
186 shelve