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<title>Generators - Full Stack Python</title>
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<h1>Generators</h1>
<p>Generators are a Python core language construct that allow a function's return
value to to behave as an iterator. A generator can allow more efficient
memory usage by allocating and allocating during the context of a large
number of iterations. Generators are defined in
<a href="https://www.python.org/dev/peps/pep-0255/">PEP255</a> and included in the
language as of Python 2.2 in 2001.</p>
<h2>Python generator resources</h2>
<ul>
<li>
<p><a href="http://intermediatepythonista.com/python-generators">An introduction to Python generators</a>
by Intermediate Pythonista is a well done post with code examples.</p>
</li>
<li>
<p>This blog post entitled
<a href="http://rdrewd.blogspot.com/2014/02/python-generators.html">Python Generators</a>
specifically focuses on generating dictionaries. It provides a good
introduction for those new to Python.</p>
</li>
<li>
<p><a href="http://www.blog.pythonlibrary.org/2014/01/27/python-201-an-intro-to-generators/">Python 201: An Intro to Generators</a>
is another short but informative read with example generators code.</p>
</li>
<li>
<p><a href="http://anandology.com/python-practice-book/iterators.html">Iterators & Generators</a>
provides code examples for these two constructs and some simple explanations
for each..</p>
</li>
<li>
<p>The question to <a href="http://stackoverflow.com/questions/1756096/understanding-generators-in-python">Understanding Generators in Python?</a>
on Stack Overflow has an impressive answer that clearly lays out the
code and concepts involved with Python generators.</p>
</li>
<li>
<p><a href="http://www.dabeaz.com/generators/">Generator Tricks for Systems Programmers</a>
provides code examples for using generators. The material was originally
presented in a PyCon workshop for systems programmers but is relevant to
all Python developers working to understand appropriate ways to use
generators.</p>
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