Skip to main content

Introduction to Lists in Python

Learning Sections     show


Introduction to Lists in Python

Lists are one of the most versatile and commonly used data structures in Python. They are used to store collections of items, which can be of different types, and are mutable, meaning their elements can be changed after they are created.

Lists are created by placing comma-separated values inside square brackets []. Here's the syntax:

# Creating a list
my_list = [1, 'apple', 3.14, 'python']

You can access elements of a list using indexing. Python uses zero-based indexing, meaning the first element has an index of 0, the second element has an index of 1, and so on. Negative indexing can also be used to access elements from the end of the list.

# Accessing elements of a list
print(my_list[0])  # Output: 1
print(my_list[1])  # Output: 'apple'
print(my_list[-1]) # Output: 'python'

Lists in Python support various operations such as concatenation, repetition, slicing, and more.

Here's a quick summary of some common list operations:

  • Concatenation: Combining two or more lists using the + operator.
  • Repetition: Replicating a list using the * operator.
  • Slicing: Extracting a portion of a list using the slicing notation [start:end:step].
  • Appending: Adding an item to the end of a list using the append() method.
  • Inserting: Inserting an item at a specified position using the insert() method.
  • Removing: Removing the first occurrence of an item using the remove() method.
  • Pop: Removing and returning an item from a specified position using the pop() method.
  • Length: Getting the number of items in a list using the len() function.

Lists are versatile and can be used in various programming scenarios, making them an essential part of Python programming.

Popular posts from this blog

Introduction to OOPs in Python

  Learning Sections          show Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than actions and data rather than logic. It revolves around the concept of "objects", which are instances of classes. These objects encapsulate data, in the form of attributes or properties, and behaviors, in the form of methods or functions. OOP promotes modularity, reusability, and extensibility in software development. Key Concepts of OOP: Class: A class is a blueprint or template for creating objects. It defines the attributes (data) and methods (functions) that will characterize any object instantiated from that class. Object: An object is an instance of a class. It is a concrete realization of the class blueprint, containing actual values instead of placeholders for attributes. Encapsulation: Encapsulation is ...

Inheritance in Python

  Learning Sections          show Inheritance in Python Inheritance is a fundamental concept in object-oriented programming (OOP) that allows a class to inherit attributes and methods from another class. The class that inherits is called the child class or subclass, and the class being inherited from is called the parent class or superclass. Basic Inheritance In Python, a child class inherits from a parent class by specifying the parent class in parentheses after the child class name. Example: class Animal : def __init__ ( self , name ): self . name = name def speak ( self ): raise NotImplementedError ( "Subclass must implement this method" ) class Dog ( Animal ): def speak ( self ): return "Woof!" class Cat ( Animal ): def speak ( self ): return "Meow!" # Create instances of Dog and Cat dog = Dog ( "Buddy" ) cat = Cat ( "Whiskers" ...

read(), readlines() and other methods in Python

Learning Sections          show read(), readlines() and Other Methods in Python Python provides several methods to read from and manipulate files. Here are some common methods: 1. read() The read() method reads the entire content of a file and returns it as a string. # Open the file in read mode with open ( 'example.txt' , 'r' ) as file : # Read the entire content of the file content = file . read () print ( content ) 2. readlines() The readlines() method reads all the lines of a file and returns a list where each element is a line in the file. # Open the file in read mode with open ( 'example.txt' , 'r' ) as file : # Read all lines of the file lines = file . readlines () for line in lines : print ( line . strip ()) # strip() removes the newline character 3. readline() The readline() method reads one line from the file and returns it as a...