In Python, you can allocate memory for an array using various built-in modules such as array, numpy or using simple list comprehension.
Here are some examples:
Using the array module:
import array# Allocate an array of 10 integersmy_array = array.array('i', [0] * 10) |
In the above example, we create an array of 10 integers using the array module. The first argument to the array function specifies the type of the array elements, and the second argument is an iterable that initializes the array with zeros.
Using the numpy module:
import numpy as np# Allocate a numpy array of 10 integersmy_array = np.zeros(10, dtype=int) |
In the above example, we create a numpy array of 10 integers using the numpy.zeros function. The first argument to this function specifies the shape of the array, and the second argument specifies the data type of the array elements.
Using list comprehension:
# Allocate a list of 10 integersmy_list = [0 for i in range(10)] |
In the above example, we create a list of 10 integers using list comprehension. The list comprehension iterates 10 times and initializes each element to 0.
Note that in Python, you don't need to allocate memory for arrays explicitly, as the language automatically manages memory allocation and deallocation.