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Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Fundamentals of Data Analysis (COMP08050)

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Higher Diploma in Science in Computing (Data Analytics)

Programme Module: Programming for Data Analysis (COMP08050)

Assignment 2020 – NumPy.Random

Problem Statement

The following assignment concerns the numpy.random package in Python. You are required to create a Jupyter notebook explaining the use of the package, including detailed explanations of at least five of the distributions provided for in the package.

There are four distinct tasks to be carried out in your Jupyter notebook.

  1. Explain the overall purpose of the package.
  2. Explain the use of the “Simple random data” and “Permutations” functions.
  3. Explain the use and purpose of at least five “Distributions” functions.
  4. Explain the use of seeds in generating pseudorandom numbers.

Solution

  1. Jupyter Notebook: assignment2020.ipynb

  2. PDF version of Jupyter Notebook: assignment2020.pdf

If you have any issues viewing assignment2020.ipynb in github you can use Jupyter NBViewer which is a web application behind The Jupyter Notebook Viewer at https://nbviewer.jupyter.org/


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