In Python, data structures like lists, dictionaries, and sets are used to store and manipulate data, but iterating over these can be resource-intensive if not done correctly.

Index, don’t iterate, through NumPy arrays. Python users know by now the preferred metaphor for stepping through the elements of an object is for item in object:.

Arrays support the iterator protocol and can be iterated over like Python lists. See the :ref:`quickstart.indexing-slicing-and-iterating` section in the Quickstart guide for basic usage and examples.

Data Scientist with Python. Contribute to RILUCK/DataCamp development by creating an account on GitHub. ... Iterating over iterables (1) 100xp. Great, you're familiar with what iterables and iterators ...