Python Tutorial: Generators
Return sends a specified value back to its caller. The return statement returns a value and terminates the whole function and
only one return statement can be used in the function.
Master Python Functions with Return and Yield Statements
This video dives deep into understanding return and yield statements in Python functions. Learn the difference between these statements and when to use each one to optimize your code. Explore generators and how they leverage yield to produce sequences of values, making them memory efficient for iterating through large datasets.
Yield can produce a sequence of values. The yield statement pauses the function execution by retaining its states and sends a value back to the caller. When the function resumes, it continues execution
immediately after the last yield run.
A generator function is defined just like a regular function,
but whenever it needs to generate a value,
it does so with the yield keyword rather than return.
If the body of a def contains yield, the function automatically
becomes a generator function.
generator function returns a generator object that is iterable,
i.e., can be used as an Iterator.
We should use yield when we want to iterate over a sequence,
but don’t want to store the entire sequence in memory.
Yield is used in Python generators.
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