Return vs yield in python advanced python
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in python, `return` and `yield` are both used to send back values from a function, but they serve different purposes and behave differently. understanding the distinctions between them is crucial for mastering advanced python concepts, especially when dealing with generators and memory efficiency.
1. the `return` statement
the `return` statement is used to terminate the execution of a function and send a value back to the caller. when a function executes a `return` statement, it exits immediately, and no further code in that function is executed.
#### characteristics of `return`:
when a function returns a value using `return`, it returns a single value and exits the function.
once a function with a `return` statement is called, the function runs to completion until it hits a `return` statement or reaches the end of the function.
the returned value can be of any data type, including numbers, strings, lists, dictionaries, etc.
#### example of `return`:
2. the `yield` statement
the `yield` statement is used in a function to make it a generator. a generator is a special kind of iterator that allows you to iterate over a sequence of values lazily, meaning it generates values on-the-fly and does not store them in memory.
#### characteristics of `yield`:
when a function contains `yield`, it becomes a generator function. instead of returning a single value and exiting, it can yield multiple values, one at a time, each time the generator is called.
when a generator function is called, it does not run the code inside it immediately. instead, it returns a generator object.
each time you iterate over the generator (using a loop or calling `next()` on it), it resumes execution from where it left off after the last `yield`.
generators are memory efficient because they yield items one at a time, which is especially useful for large datasets or streams of data.
#### example of `yield`:
3. key differences between `return` and `yield`
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