Python From Beginner to Advanced

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Python - Basics of Lists

A list in Python is a dynamic and ordered collection of elements that can store multiple values in a single variable. Unlike traditional arrays in other programming languages, Python lists can hold elements of different data types within the same list.

Lists are mutable, meaning their contents can be changed after creation by adding, removing, or modifying elements. They also provide a variety of built-in methods, making them one of the most flexible and widely used data structures in Python.

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Creating a List

A list in Python is defined by enclosing elements within square brackets [] and separating them with commas. Lists can store integers, floats, strings, booleans, and even other lists or objects.

Example 1: Creating a Simple List

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Explanation

  1. The list my_list contains four elements of different types:
    • 1 (integer)
    • "Hello" (string)
    • 3.14 (float)
    • True (boolean)
  2. Lists can store multiple data types in a single collection.

Creating an Empty List

An empty list can be created using empty square brackets [] or the list() constructor.

Example 2: Creating an Empty List

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  • Both methods create an empty list that can be filled with values later.

Creating a List from a String

Python allows creating lists from iterable objects, such as strings. The list() function can be used to break a string into individual characters.

Example 3: Converting a String to a List

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  • Each character in the string "Python" becomes an individual element in the list.

Lists in Python are versatile, ordered, and mutable collections that can store different types of data. They can be created using square brackets [] or the list() constructor. Lists are fundamental in Python programming due to their flexibility, ease of use, and powerful built-in methods.

Understanding how to create lists is the first step toward mastering Python data structures, which play a crucial role in data processing, storage, and manipulation.

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