Course Content

NumPy in a Nutshell

1. Getting Started with NumPy

What is NumPy?Function array()Basic Array Creation Quiz

2. Dimensions in Arrays

1-D Arrays Mathematical Operations with 1-D Arrays 2-D Arrays 3-D Arrays Multidimensional Arrays Quiz

3. Indexing and Slicing

Access Array Elements Match Math Operations Access 2-D and 3-D Arrays Match the Slicing Negative Indexing Match the Indices Get One Dimensional Array Using Slice and Only Positive Indexes Get One Dimensional Array Using Only Negative Indexes

4. Important Functions

Reshaping Flattening Joining Sorting Arrays Copying Arrays

Mathematical Operations with 1-D Arrays

With 1-dimensional arrays, you can also perform various mathematical operations. You can subtract, add, multiply, and divide one-dimensional arrays. However, to do this, your arrays must have the same number of elements.

Let's see how we can add two 1-dimensional arrays:


              123456789
            
import numpy as np

# Creating array
arr1 = np.array([5, 7, 3, 1])
arr2= np.array([4, 1, 0, 6])
result_arr = arr1 + arr2

# Displaying array
print(result_arr)

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Following this example, it's evident that if the number of elements in the first array does not match the number of elements in the second array, it will be impossible to perform addition, subtraction, division, or multiplication between them.

Task

Create two 1-D arrays:
- the first one should contain the following values: 10, 15, 20, 30;
- the second one should contain these values: 7, 3, 1, 9.
Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 2

Mathematical Operations with 1-D Arrays

Let's see how we can add two 1-dimensional arrays:


              123456789
            
import numpy as np

# Creating array
arr1 = np.array([5, 7, 3, 1])
arr2= np.array([4, 1, 0, 6])
result_arr = arr1 + arr2

# Displaying array
print(result_arr)

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Task

Create two 1-D arrays:
- the first one should contain the following values: 10, 15, 20, 30;
- the second one should contain these values: 7, 3, 1, 9.
Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 2. Chapter 2

Mathematical Operations with 1-D Arrays

Let's see how we can add two 1-dimensional arrays:


              123456789
            
import numpy as np

# Creating array
arr1 = np.array([5, 7, 3, 1])
arr2= np.array([4, 1, 0, 6])
result_arr = arr1 + arr2

# Displaying array
print(result_arr)

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Task

Create two 1-D arrays:
- the first one should contain the following values: 10, 15, 20, 30;
- the second one should contain these values: 7, 3, 1, 9.
Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Let's see how we can add two 1-dimensional arrays:


              123456789
            
import numpy as np

# Creating array
arr1 = np.array([5, 7, 3, 1])
arr2= np.array([4, 1, 0, 6])
result_arr = arr1 + arr2

# Displaying array
print(result_arr)

If you run the code above, you will obtain the following array: [9, 8, 3, 7]. How was it created? Through the following operations: 5+4=9, 7+1=8, 3+0=3, 1+6=7.

Task

Create two 1-D arrays:
- the first one should contain the following values: 10, 15, 20, 30;
- the second one should contain these values: 7, 3, 1, 9.
Based on the arrays you've created, you should obtain the third array, which should contain the following values: -3, -12, -19, -21.

If you're uncertain about how to obtain the third array, please refer to the hint.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Section 2. Chapter 2

Switch to desktop for real-world practiceContinue from where you are using one of the options below