Python Array vs. List
Python array and lists are the important data structure of Python. Both list and array and list are used to store the data in Python. These data structures allow us to indexing, slicing, and iterating. But they have little dissimilarity with each other. In this tutorial, we will learn the essential difference between the Python list and array.
As we know that, Python has extensive data structures such as lists, tuples, sets, and dictionaries that provide many features and functions. The lists are the most effective and easy-to-use data structure in Python.
On the other hand, Python doesn't provide built-in support to the array. We need to import the array module to use the array module or from the NumPy package in the Python program. And that's a primary difference between the array and list. Before diving deep into this topic, let's have a brief introduction to both data structures.
A list is a built-in, linear data structure of Python. It is used to store the data in a sequence manner. We can perform several operations to list, such as indexing, iterating, and slicing. The list comes with the following features.
Below is an example of a list.
[31, 60, 19, 12] <class 'list'>
Example - 2
[1, 'Yash', ['a', 'e']]
In the above list, the first element is an integer; the second is a string and third is a list of characters.
Array in Python
An array is also a linear data structure that stores the data. It is also ordered, mutable, and enclosed in square brackets. It can store the non-unique items. But there are restrictions to store the different data type values.
To work with the Array in Python, we need to import either an array module or a Numpy.
Elements are allocated in contiguous memory location that allows us to easy modification, addition, deletion, accessing of element. Moreover, we need to specify the data type. Let's understand the following example.
array('i', [31, 60, 19, 12]) <class 'array.array'>
Example - 2: Using Numpy array
['numbers' 'sunil' 'sachin' 'megha' 'deepti'] <class 'numpy.ndarray'>
We have specified the string type and stored the string value.
Difference between Array and List
Now, we have a brief introduction and features. Here, we will discuss the differences between the Array and List.
We have discussed the differences between array and list. Both data types are essential in Python and both have some limitations. Python lists are easy to use in python where arrays are typically used for data analysis.
JavaTpoint offers too many high quality services. Mail us on [email protected], to get more information about given services.
JavaTpoint offers college campus training on Core Java, Advance Java, .Net, Android, Hadoop, PHP, Web Technology and Python. Please mail your requirement at [email protected]
Duration: 1 week to 2 week