So I'm doing a coding test! The test has four parts:
- Analysis
- Functions
- Object-oriented programming
- Package building
This repo contains my solutions to these challenges.
The challenge
Read in the csv containing NBA free throws. Visualise some aspect of the data you find interesting, e.g., the average number of free throws per period for the regular season and the playoffs.
The challenge
Write a function that will draw random numbers from a given distribution. The function should take one argument for the number of samples and a second argument which specifies the distribution (Normal, Poisson or Binomial). The function should be able to handle additional parameters depending on the distribution chosen, e.g., mean and sd for Normal samples.
The challenge
Construct an alternative to the above solution by using one or more classes instead of a single function. Instances of this distribution class should store the distribution parameters as attributes, and also contain a draw method, which draws a fresh set of random numbers according to the distributions parameters, and a summarise method, which prints the min, max, mean, and standard deviation of the newly drawn sample.
The challenge
Build a package containing the functions and classes above. Use any tools as necessary. Include instructions on how the package can be installed.
My Solution (Repo)
My Solution (PyPI)
Note that the initial development of this package was done in this repo in the toms_dist_sampler folder. It was moved to the repo linked above in order to upload to PyPI.