# 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

**Weekly Trends and Language Statistics**- Weekly Trends and Language Statistics