Python Codes
Basic NumPy for beginners:
Creating a NumPy array: To create a NumPy array from a list or tuple, you can use the np.array() function. For example, the following code creates a NumPy array from a list of numbers:
import numpy as np
# Create a NumPy array from a list of numbers
numbers = [1, 2, 3, 4, 5]
numbers_array = np.array(numbers)
# Print the array
print(numbers_array)
output:
[1 2 3 4 5]
Basic mathematical operations: NumPy provides functions for performing mathematical operations on arrays, such as addition, subtraction, multiplication, and division. These operations can be performed element-wise, allowing for efficient computation on large datasets. For example, the following code adds two NumPy arrays element-wise:
import numpy as np
# Create two NumPy arrays
x = np.array([1, 2, 3, 4, 5])
y = np.array([6, 7, 8, 9, 10])
# Add the arrays element-wise
z = x + y
# Print the result
print(z)
output:
[ 7 9 11 13 15]
Indexing and slicing: NumPy arrays can be indexed and sliced just like lists. This allows you to access and manipulate specific elements or subarrays within an array. For example, the following code slices a NumPy array to extract the second and third elements:
import numpy as np
# Create a NumPy array
numbers = np.array([1, 2, 3, 4, 5])
# Slice the array to extract the second and third elements
subarray = numbers[1:3]
# Print the result
print(subarray)
output:
[2 3]
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