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itertools is a module in Python that provides a set of fast, memory-efficient tools for working with iterators. Iterators are objects that represent a stream of data, and itertools provides functions to operate on these iterators efficiently.
Let's explore some of the key functions provided by the itertools module with hands on example:
1. itertools.count(start=0, step=1) function
The count function returns an iterator that produces consecutive integers, starting from the specified start value, with increments of step.
2. itertools.cycle(iterable) function
The cycle function returns an iterator that repeats the elements from the specified iterable indefinitely.
3. itertools.repeat() function
The repeat function returns an iterator that produces the specified element indefinitely or up to the specified number of times.
4. itertools.chain() function
The chain function takes multiple iterables as arguments and returns an iterator that produces items from the first iterable until it is exhausted, then it continues to the next iterable, and so on.
5. itertools.islice() function
The islice function returns an iterator that produces selected elements from the input iterable, similar to the slicing of a list.
6. itertools.compress() function
The compress function returns an iterator that filters elements from the input data based on the corresponding elements in selectors.
7. itertools.groupby() function
The groupby function is used to group consecutive elements of an iterable by a key function.
8. itertools.permutations() function
The permutations function returns all possible r-length tuples of elements from the iterable.
9. itertools.combinations() function
The combinations function returns all possible r-length combinations of elements from the iterable.
10. itertools.product() function
The product function returns the Cartesian product of input iterables.
These functions cover a wide range of use cases, from simple iteration and repetition to more advanced operations like grouping, permutations, combinations, and Cartesian products. Incorporating these itertools functions into your Python code can lead to more concise, readable, and efficient code, especially when dealing with iterators and iterable data structures.
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