Functions and Modules: Building Blocks of Python What is a Function? A function is a reusable block of code that performs a specific task. It takes input, processes it, and returns an output. Functions help in organizing code, making it more readable, and promoting code reusability. Syntax: Python Example: Python Key Points: Modules What … Read more
Understanding Sets A set in Python is an unordered collection of unique elements. It’s defined by curly braces {} and elements are separated by commas. Sets are mutable, meaning you can add or remove elements after creation. Example: Python Set Methods Python provides several methods to manipulate sets: Adding and Removing Elements Example: Python Set … Read more
Creating Sets A Python set is created by placing a comma-separated collection of elements within curly braces {}. Python Note: While curly braces are also used for dictionaries, a key difference is the absence of colons (:) for sets. Accessing Set Elements Unlike lists and tuples, sets are unordered collections, meaning you cannot access elements … Read more
Sets in Python Sets are unordered collections of unique elements. They are mutable and do not allow duplicates. Creating Sets Python Accessing Set Elements Unlike lists and tuples, sets do not support indexing. You cannot access elements by their position. However, you can check if an element is present in a set using the in … Read more
Dictionary comprehensions offer a concise way to create dictionaries in Python. They provide a similar syntax to list comprehensions but with key-value pairs. Syntax: Python Example: Python Key Points Read More..
Python provides several built-in methods to manipulate dictionaries: Common Dictionary Methods Example Python Read More..
Creating Dictionaries A Python dictionary is created by enclosing a comma-separated list of key-value pairs within curly braces {}. Each key-value pair is separated by a colon :. Python Accessing Dictionary Elements Python Python Important points: Read More..
Dictionaries are unordered collections of key-value pairs. They are used to store data in an associative manner. Creating Dictionaries Python Accessing Dictionary Elements You can access values in a dictionary using their corresponding keys. Python Adding and Modifying Elements Dictionaries are mutable, allowing you to add or modify key-value pairs. Python Key Points Read More..
While tuples are immutable, they support several operations: Concatenation Tuples can be concatenated using the + operator to create a new tuple. Python Slicing Tuples support slicing, similar to lists, to extract a portion of the tuple. Python Repetition Tuples can be repeated using the * operator. Python Other Operations Python Note: While tuples are … Read more
Creating Tuples Tuples are created by enclosing a comma-separated sequence of values within parentheses (). Python Note: While parentheses are often used, they are optional in some cases. Python interprets a comma-separated sequence as a tuple even without parentheses. However, it’s generally recommended to use parentheses for clarity. Accessing Tuple Elements You can access individual … Read more