NumPy Integration with SciPy: Exercises, Practice and Solutions

NumPy Integration with SciPy [ 19 exercises with solution]

The following exercises will help you learn NumPy integration with SciPy. These exercises include statistical analysis, Fourier transforms, linear algebra, interpolation, signal processing, and more.

[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 NumPy array of random numbers and uses SciPy to compute the statistical properties (mean, median, variance) of the array.
Click me to see the sample solution

2. Write a NumPy program to generate a 2D array and performs a discrete Fourier transform using SciPy's fftpack module.
Click me to see the sample solution

3. Write a NumPy program that creates a NumPy array and uses SciPy to solve a linear algebra problem. For example, finding the determinant, inverse, and eigenvalues of a matrix.
Click me to see the sample solution

4. Write a NumPy program to generate a set of data points using NumPy and perform interpolation using SciPy's interpolate module.
Click me to see the sample solution

5. Write a NumPy program to create a time series dataset and apply SciPy's signal processing functions to filter the data.
Click me to see the sample solution

6. Write a NumPy program to create a set of sample data and fit a curve using SciPy's curve_fit function.
Click me to see the sample solution

7. Write a NumPy program to generate random samples and perform a hypothesis test using SciPy's stats module.
Click me to see the sample solution

8. Write a Numpy program to create a NumPy array and use SciPy to solve a system of ordinary differential equations (ODEs).
Click me to see the sample solution

9. Write a Numpy program to generate a 3D dataset and perform multidimensional scaling (MDS) using SciPy.
Click me to see the sample solution

10. Write a NumPy program to create a large sparse matrix and perform sparse matrix operations using SciPy's sparse module.
Click me to see the sample solution

11. Write a NumPy program to generate random data and perform clustering using SciPy's hierarchical clustering methods.
Click me to see the sample solution

12. Write a NumPy program to create a dataset and compute various distance metrics (Euclidean, Manhattan, etc.) using SciPy.
Click me to see the sample solution

13. Write a NumPy program to rename the 'height' field to 'stature' in the structured array with fields for 'name' (string), 'age' (integer), and 'height' (float).
Click me to see the sample solution

14. Write a NumPy program to generate a set of points and perform optimization using SciPy's optimize module to find the minimum of a function..
Click me to see the sample solution

15. Write a NumPy program to create a NumPy array and use SciPy's ndimage module to perform image processing tasks, such as filtering and edge detection.
Click me to see the sample solution

16. Write a NumPy program to generate synthetic data using NumPy and apply SciPy's stats module to perform various statistical tests (t-test, chi-square test).
Click me to see the sample solution

17. Write a NumPy program to create a 2D grid of data points and solve a partial differential equation (PDE) using SciPy's integrated module.
Click me to see the sample solution

18. Write a Numpy program to generate a dataset and perform SciPy's ndimage geometric transformations (rotation, shift, zoom).
Click me to see the sample solution

19. Write a NumPy program to generate a set of data and fit a statistical model using SciPy's optimize module for maximum likelihood estimation (MLE).
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