Generator Expressions
Explore how to use generator expressions to create memory-efficient iterators in Python. Understand their advantages over list comprehensions, including reduced memory usage and the ability to chain filters for more readable code. This lesson teaches how to apply generators effectively while avoiding common pitfalls like exhausting the iterator.
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Before going into the details and nuances of generators, let's take a quick look at how generators relate to a concept that we have already seen: comprehensions. A generator in the form of a comprehension is called a generator expression.
How generator expressions work
Generators save a lot of memory, and since they are iterators, they are a convenient alternative to other iterables or containers that require more space in memory such as lists, tuples, or sets.
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