What is array in Python?

An arrays, on the other hand, stores single data type values. Therefore, you can have an array of integers, an array of strings, etc. Python also provide Numpy Arrays which are a grid of values used in Data Science. You can look into Numpy Arrays vs Lists to know more. Arrays in Python can be created after importing the array module as follows –

Can an array store different data types in Python?

But when it comes to the array's ability to store different data types, the answer is not as straightforward. It depends on the kind of array used. To use arrays in Python, you need to import either an array module or a NumPy package. The Python array module requires all array elements to be of the same type.

What is the difference between an array and a list in Python?

In python, this is the main difference between arrays and lists. All values in an array must be of the same type, but they can be different types in a list. For example, you could have an array that contains only integers or one that contains only strings, but you could not have an array that contains both integers and strings.

How do you identify items in an array in Python?

First, items in an array can be consistently identified by their index, or location, within the array. Second, items in an array are assured to be of the same type. When creating an array in Python, you must indicate the type of data to be stored. The available types are indicated using codes, which consist of the following: