Explore the differences between Python dictionaries and sets in this guide tailored for data scientists. Learn key features and use cases.

A Python set lets you create collections of objects where each object is unique to the collection, and it works with the speed and efficiency of Python’s dictionaries.

You can only access data in a set by printing the set, or by using a loop. (we will discuss loops in later posts) The keyword “in” is used to check the presence of an element in a set. ** Sets are ...

# The tool .difference() returns a set with all the elements from the set that are not in an iterable. # Sometimes the - operator is used in place of the .difference() tool, but it only operates on ...

# The .symmetric_difference() operator returns a set with all the elements that are in the set and the iterable but not both. # Sometimes, a ^ operator is used in place of the .symmetric_difference() ...

Python dictionaries store unique key-value pairs, ideal for quick data lookup. Sets contain unique elements, perfect for eliminating duplicates.