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Given two lists, a common task is to iterate through them in pairs. While iterating over indices is a feasible approach, it may not be the most Pythonic solution.
In Python 3, the zip() function returns an iterator of tuples, making it an efficient and concise way to iterate through multiple iterables in parallel. The syntax is:
for element_1, element_2 in zip(iterable_1, iterable_2): ...
for f, b in zip(foo, bar): print(f, b)
In Python 2, zip() returns a list of tuples, which can be inefficient for large datasets. To avoid creating unnecessary temporary variables, consider using itertools.izip() for an iterator instead:
import itertools for f, b in itertools.izip(foo, bar): print(f, b)
If desired, itertools.izip_longest() can be used to iterate until both iterables are exhausted, filling in missing values with the specified fill value (or None by default).
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