This Python script calculates the kurtosis of generated probability density functions (PDFs) for uniform and Gaussian distributions. It compares the results obtained using a custom kurtosis function with those from Python's pre-made library function.

The script performs the following steps:

1. Generate PDFs:

   • Generates a uniform distribution and a Gaussian (normal) distribution.

2. Calculate Kurtosis:

   • Uses a custom kur function to calculate the kurtosis of the distributions.
   • Calculates the kurtosis using Python's built-in kurtosis function.

3. Compare Results:

   • Compares the kurtosis values obtained from the custom function and the pre-made library function.

4. Analyzing Differences:

   • Calculates the absolute difference between the kurtosis values obtained from the custom and library functions.
   • Determines if the kurtosis values are consistent and identical across both methods.

1. Run the Script:

   • Execute the script in a jupyter environment.

2. Review Results:

   • Examine the kurtosis values printed to the console.
   • Assess whether the custom function and the pre-made library function yield identical results.

This project is licensed under the MIT License.