Arrays, Lists, Maps, and Loops
Learn the distinction between Python’s mutable lists and JavaScript's arrays, highlighting their flexibility and constraints.
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Arrays
An array is a type of data structure that holds a number of elements of the same type sequentially in adjacent memory addresses. It provides a convenient way to access and manipulate multiple values of the same type as a single entity.
In Python, arrays are implemented using lists, which are powerful objects overflowing with useful properties. Lists in Python are regarded as mutable arrays that can grow or shrink in real time when new elements are added or removed.
# Creating an array (list) in Pythonmy_list = [1, 2, 3, 4, 5]# Accessing elements of the arrayprint("First element:", my_list[0])# Modifying elements of the arraymy_list[0] = 10print("Modified array:", my_list)
In JavaScript, arrays are also flexible data structures that can dynamically grow or shrink as elements are added or removed. Unlike traditional arrays in some other languages, JavaScript arrays can hold elements of different types, although they are typically used to store elements of the same type for consistency.
//Creating an array in JavaScriptlet myArray =[1,2,3,4,5];//Accessing elements of the arrayconsole.log("First element:",myArray[0]);//Modifying elements of the arraymyArray[0] = 10;console.log("Modified array:", myArray);
Arrays in Python and JavaScript are designed to store and perform operations on a set of objects effectively and efficiently. However, there are differences in their implementation and usage. Python lists offer greater flexibility with dynamic resizing features, while JavaScript arrays, although also dynamic, are typically used with elements of the same type for clarity and consistency in code.
Heterogeneous data
In Python, lists (which are analogous to arrays) can contain elements of different data types. This means that Python lists can be heterogeneous, allowing us to store integers, floats, strings, and other ...