It’s basically a library that allows us to work with arrays in Python, which is super helpful for all sorts of mathy stuff like calculus or linear algebra.
Here’s an example: say you have some data stored as a list of numbers (like [1, 2, 3, 4]) and you want to do some calculations on it. With NumPy, you can turn that list into an array using the `np.array()` function like this:
# Importing the NumPy library
import numpy as np
# Creating a list of numbers
my_list = [1, 2, 3, 4]
# Converting the list into an array using NumPy's `np.array()` function
my_array = np.array(my_list)
Now you can do all sorts of cool stuff with your new array! For example:
– You can add two arrays together like this:
# Creating two arrays using NumPy's `np.array()` function
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
# Adding the two arrays together using Python's built-in addition operator (`+`) and assigning the result to a new variable called `result`
result = arr1 + arr2
# Printing out the resulting array
print(result)
This would output:
# This is a list of numbers
numbers = [5, 7, 9] # Use commas to separate elements in a list
# This is a print statement that outputs the list
print(numbers) # Use parentheses to call the print function and pass in the list as an argument
Output:
[5, 7, 9]
Explanation:
The script creates a list of numbers and then prints the list. The corrections made include adding commas between the numbers in the list and using parentheses to call the print function and pass in the list as an argument.
– You can also multiply two arrays together like this:
# Creating two arrays using NumPy's `np.array()` function
arr1 = np.array([1, 2, 3]) # creating an array called `arr1` and assigning it a value
arr2 = np.array([4, 5, 6]) # creating another array called `arr2` and assigning it a value
# Multiplying the two arrays together using Python's built-in multiplication operator (`*`)
result = arr1 * arr2 # assigning the result to a new variable called `result`
# Printing out the resulting array
print(result) # printing the value of `result` to the console
This would output:
Here is the corrected script with annotations:
# This is a list containing three integers
numbers = [4, 20, 18]
# This is a print statement that outputs the list
print(numbers)
# Output: [4, 20, 18]
So basically, NumPy lets us do all sorts of cool math stuff with arrays in Python.