Basics
Python Sets
Python Sets for Unique Elements
Python sets store unique elements, with union and intersection operations.
Introduction to Python Sets
Python sets are a collection type that is unordered, mutable, and does not allow duplicate elements. Sets are useful when you want to store unique items, and they provide operations like union, intersection, difference, and symmetric difference.
Creating a Set
You can create a set by placing all the items (elements) inside curly braces {}, separated by commas, or by using the built-in set() function.
Accessing Set Elements
Sets do not support indexing, so you cannot access elements by index like lists or tuples. However, you can loop through the set using a for loop.
Adding and Removing Elements
To add an element to a set, use the add() method. To remove an element, you can use the remove() or discard() method. Note that using remove() on a non-existent item will raise a KeyError, while discard() will do nothing.
Set Operations
Sets support several mathematical operations, such as union, intersection, difference, and symmetric difference. These operations can be performed using methods or operators.
Conclusion
Python sets are a powerful tool for storing unique elements and performing efficient mathematical operations. Their ability to handle duplicates automatically and perform set operations makes them a valuable data structure in many programming scenarios.
Basics
- Introduction
- Installation
- Running Code
- Syntax
- Variables
- Data Types
- Numbers
- Strings
- Booleans
- Type Conversion
- Operators
- Ternary Operator
- If Else
- Match Case
- While Loops
- For Loops
- Lists
- Tuples
- Dictionaries
- Sets
- Comprehensions
- Functions
- Arguments
- Scope
- Errors
- Debugging
- String Formatting
- Security Basics
- Best Practices
- User Input
- Built-in Functions
- Keywords
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- Comprehensions
