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Because generators compute their yielded values only on demand, they are useful for representing [[Stream (computing)|streams]], such as sequences that would be expensive or impossible to compute at once. These include e.g. infinite sequences and live data streams.
In the presence of generators, loop constructs of a language – such as for and while – can be reduced into a single loop ... end loop construct; all the usual loop constructs can then be comfortably simulated by using suitable generators in the right way. For example, a ranged loop like <code>for x = 1 to 10</code> can be implemented as iteration through a generator, as in Python's <code>for x in range(10, 1)</code>. Further, <code>break</code> can be implemented as sending ''finish'' to the generator and then using <code>continue</code> in the loop.
== Timeline ==
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