Generators and Generator Expressions
Explore how Python generators use the yield statement to create efficient iterators that resume state between calls. Understand when to use generators versus creating full lists, and discover how generator expressions offer compact, memory-efficient alternatives to list comprehensions. This lesson helps you apply these concepts to handle large data sets effectively.
We'll cover the following...
We'll cover the following...
Generators
Generators are very efficient functions that create iterators. They use the yield statement instead of return whenever they return data from the function.
The specialty of a generator is that it remembers the state of the function and the last statement it executes when yield is executed.
So each time next() is called, it resumes from where it left offthe last ...