Creating a Array Array in Python can be created by importing array module. array(data_type, value_list) is used to create an array with data type and value list specified in its arguments.

Python arrays are a data structure like lists. They contain a number of objects that can be of different data types. For example, if you have a list of student names that you want to store, you may want to store them in an array. Arrays are useful if you want to work with many values of the same Python data type.

array — Efficient arrays of numeric values

List: A list in Python is a collection of items which can contain elements of multiple data types, which may be either numeric, character logical values, etc. Array: An array is a vector containing homogeneous elements i.e. belonging to the same data type.

1. Using numpy.array()

1. import numpy as np.
2. my_list = [2,4,6,8,10]
3. my_array = np. array(my_list)
4. # printing my_array.
5. print my_array.
6. # printing the type of my_array.
7. print type(my_array)

Lists are another data structure, similar to NumPy arrays, but unlike NumPy arrays, lists are a part of core Python. Lists have a variety of uses. They are useful, for example, in various bookkeeping tasks that arise in computer programming.

The main difference between these two data types is the operation you can perform on them. Also lists are containers for elements having differing data types but arrays are used as containers for elements of the same data type.

An array is a group (or collection) of same data types. For example an int array holds the elements of int types while a float array holds the elements of float types.

Identifier: specify a name like usually,you do for variables

Arrays and lists are both used in Python to store data, but they don’t serve exactly the same purposes. They both can be used to store any data type (real numbers, strings, etc), and they both can be indexed and iterated through, but the similarities between the two don’t go much further.

Python List vs Array – 4 Differences to know! How Lists and Arrays Store Data As we all know, Data structures are used to store the data effectively. Declaration of Array vs. List Python has got “List” as a built-in data structure. Superior Mathematical Operations with Arrays Arrays provide an upper hand when it comes to performing Mathematical operations. Resizing the data structure

A simple way to create an array from data or simple Python data structures like a list is to use the array() function. The example below creates a Python list of 3 floating point values, then creates an ndarray from the list and access the arrays’ shape and data type.