Difference Between Iterator And Generator In Python
distinguishing iterator from generator in python
Difference Between Iterator And Generator In Python
In Python, an iterator is an object that represents a stream of data and allows iteration over that data. It maintains the state of the iteration and retrieves the next value when requested. On the other hand, a generator is a special type of iterator defined using a function with a yield statement. Generators automatically retain the state of the function and resume execution where it left off when the next value is requested, making them more flexible and memory efficient than traditional iterators.
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1 - An iterator in Python is a built in object that represents a stream of data and allows iteration over a sequence of elements, such as a list or tuple. It is used to loop through elements one by one, enabling efficient memory utilization.
2) On the other hand, a generator is a function that returns an iterator object by using the yield keyword instead of return. Generators in Python are used to create iterators in a simple and elegant way, allowing for the generation of a sequence of values one at a time.
3) Iterators are used to traverse through collections like lists, tuples, or dictionaries, while generators are useful for creating custom iterators by defining a specific sequence generation logic.
4) Iterators are called explicitly using the iter() function and advanced using the next() function, whereas generators are more implicit in their usage, as they are functions that can be iterated over using a for loop.
5) Iterators can be exhausted, meaning they can be used only once to iterate through a collection, while generators can be re used multiple times to generate a sequence of values on demand.
6) Working with iterators involves implementing the iter() and next() methods in a custom class, while generators simplify the process by automatically handling the state of iteration.
7) While iterators are more low level constructs that require manual management of iteration state, generators offer a higher level, more concise approach to creating iterators in Python.
8) Both iterators and generators are crucial concepts in Python for efficient handling of large data sets or stream processing scenarios, and understanding the difference between the two is essential for writing efficient and readable code.
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