# NumPy Performance Optimization Exercises with Solutions

## NumPy Performance Optimization Exercises [ 20 exercises with solution]

[An editor is available at the bottom of the page to write and execute the scripts. Go to the editor]

1. Write a NumPy program that creates a large 1D array and write a function to calculate the sum of its elements using a for loop. Then, optimize it using NumPy's built-in functions.
Click me to see the sample solution

2. Write a NumPy program that generate two large NumPy arrays and write a function to perform element-wise addition using a for loop. Optimize it with vectorized operations.
Click me to see the sample solution

3. Write a function to compute the dot product of two large NumPy arrays using a nested for loop. Then, optimize it using NumPy's dot() function.
Click me to see the sample solution

4. Write a NumPy program to create a large 2D NumPy array and write a function to calculate the row-wise mean using a for loop. Optimize it using vectorized operations.
Click me to see the sample solution

5. Write a NumPy program to create a large NumPy array and write a function to calculate the standard deviation of its elements using a for loop. Optimize it using NumPy's built-in functions.
Click me to see the sample solution

6. Write a NumPy program that creates a function to transpose a large 2D NumPy array using nested for loops. Optimize it using NumPy's transpose() function.
Click me to see the sample solution

7. Write a NumPy program that creates a function to compute the element-wise multiplication of two large 2D arrays using nested for loops. Optimize it using NumPy's vectorized operations.
Click me to see the sample solution

8. Write a NumPy program to generate a large 3D NumPy array and write a function to compute the sum of all elements using nested for loops. Optimize it using NumPy's built-in functions.
Click me to see the sample solution

9. Write a NumPy program to generate a large NumPy array and write a function to find the maximum element using a for loop. Optimize it using NumPy's built-in functions.
Click me to see the sample solution

10. Write a NumPy program that creates two large 1D NumPy arrays and write a function to compute their element-wise division using a for loop. Optimize it with vectorized operations.
Click me to see the sample solution

11. Write a NumPy program that creates a function to calculate the cumulative sum of a large NumPy array using a for loop. Optimize it using NumPy's cumsum() function.
Click me to see the sample solution

12. Write a NumPy program that creates a large NumPy array and write a function to find the indices of the maximum element using a for loop. Optimize it using NumPy's argmax() function.
Click me to see the sample solution

13. Write a function to normalize a large NumPy array by subtracting the mean and dividing by the standard deviation using a for loop. Optimize it using vectorized operations.
Click me to see the sample solution

14. Write a NumPy program that generates a large 2D NumPy array and write a function to compute the column-wise mean using a for loop. Optimize it using NumPy's built-in functions.
Click me to see the sample solution

15. Write a NumPy program that creates a large NumPy array and write a function to sort its elements using a for loop. Optimize it using NumPy's sort() function.
Click me to see the sample solution

16. Write a function to calculate the outer product of two large 1D NumPy arrays using nested for loops. Optimize it using NumPy's outer() function.
Click me to see the sample solution

17. Write a NumPy program that creates a large 2D NumPy array and write a function to count the number of non-zero elements using a for loop. Optimize it using NumPy's count_nonzero() function.
Click me to see the sample solution

18. Write a NumPy program that generates a large NumPy array and write a function to compute the variance of its elements using a for loop. Optimize it using NumPy's built-in functions.
Click me to see the sample solution

19. Write a function to calculate the matrix product of two large 2D NumPy arrays using nested for loops. Optimize it using NumPy's matmul() function.
Click me to see the sample solution

20. Write a NumPy program that creates a large NumPy array and write a function to reverse its elements using a for loop. Optimize it using NumPy's slicing operations.
Click me to see the sample solution

Python-Numpy Code Editor:

More to Come !

Do not submit any solution of the above exercises at here, if you want to contribute go to the appropriate exercise page.

Test your Python skills with w3resource's quiz

﻿