Lecture Note
University
University of California San DiegoCourse
DSC 10 | Principles of Data SciencePages
2
Academic year
2023
anon
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19
The Power of Python Sets: Unlocking Set Operations' Full Potential A variety of tools and data structures are available in the robust programming language Python foreffective and efficient data processing. The set is among these data structures that is both the mostflexible and useful. In this post, we'll delve deep into Python sets and examine all the advantages theyhave to offer. This article will teach you all you need to know, whether you're a new or seasonedprogrammer, to take full advantage of Python sets. Understanding Python Sets In Python, a set is an unordered grouping of distinct items. It is similar to a dictionary in that it is notindexed, making it impossible to retrieve entries based on where they are in the set. Sets' ability toperform specific operations, such union and intersection, very quickly is a result of their unorderednature. The fact that sets in Python may only contain distinct elements is one of their main advantages. Thisimplies that adding an element to a set that already contains that element will not cause the set tochange. This characteristic of sets makes them perfect for locating common members between twosets as well as for deleting duplicates from lists and other data structures. Python Set creation Python makes it easy and simple to create a set. Simply place the items you wish to include in the setafter the keyword "set" to construct a set. For instance, the code below generates a collection ofpreferred colors: colors = set(["red", "green", "blue"]) It should be noted that the items of the set are not necessarily added to the set in the same sequence.This is so that items may be added to or removed from sets without changing the order of the othercomponents. Sets are unordered. Setting Up and Deleting Elements The add function in Python is used to add elements to a set. Simply use the add function on the set andsupply the desired element to be added to the set. For instance: colors.add("yellow") The set will remain unchanged if you attempt to add an element that is already there. This is sobecause sets can only include components that are unique. In Python, the remove method or the discard method can be used to delete entries from a set. Theremove method raises an error if the element is not present in the set but removes the supplied elementfrom the set. In contrast, if the provided element is not existing in the set, the discard method simplyremoves it from the set without causing an error. For instance, the following code eliminates the color "yellow" from the collection of colors: colors.discard("yellow")
Python Set Operations The support for set operations that sets in Python provide is one of their most valuable aspects. Setoperations are actions that may be taken to change the contents of sets. The most used set operationsin Python are difference, intersection, and union. Union The union procedure merges two sets into a single set with all of its distinctive components. Theunion operation in Python may be carried out using either the union method or the | operator. Forinstance, if you have the two sets A and B, you may use the formula below to determine their union: A = {"red", "blue", "green"} B = {"blue", "yellow", "orange"} C = A.union(B) Intersection The intersection operation identifies the items that are shared by two sets. The intersection operationin Python may be carried out using either the intersection method or the & operator. For instance, ifyou have two sets A and B, you may use the following formula to determine where A and B intersect: A = {"red", "blue", "green"} B = {"blue", "yellow", "orange"} C = A.intersection(B) Difference The items that are exclusive to one set and not in the other are discovered by the difference operation.The difference operation may be carried out in Python using either the difference method or the -operator. The difference between two sets A and B, for instance, can be calculated as follows: A = {"red", "blue", "green"} B = {"blue", "yellow", "orange"} C = A.difference(B)
DSC10: Exploring Python Sets: A Deep Dive into Set Operations
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