mango-coding-test-pl-sept20 2.0.0

Solutions to Mango's Python Coding Test

# mango_test

Package containing Peter Ling’s solutions to the Mango Python coding test, September 2020.

## Installation

The package can be installed from PyPI via the command line by typing pip install mango_coding_test_pl_sept20.

## Usage

The solutions can then be used in a Python 3 environment after using the import statement from mango_test import mango_test as mt

#### Functions The ‘Functions’ part of the exercise is called with the random_draw(nsamples, dist, **params) function, where params relate to the given distribution.

##### Examples To return a 10 random samples (as a numpy array) from a Normal distribution with mean 100 and standard deviation 10:

mt.random_draw(10, ‘normal’, mean=100, sd=10)

To return a 20 random samples from a Binomial distribution with _n_=100, _p_=0.5:

mt.random_draw(20, ‘binomial’, n=100, p=0.5)

To return a 100 random samples from a Poisson distribution with $lambda$=100:

mt.random_draw(100, ‘poisson’, lam=100)

#### Object-oriented Programming The ‘Object-oriented Programming’ part of the exercise is called with the Sample class.

##### Example To create an instance of the Sample class, using the Normal distribution:

s = mt.Sample(‘normal’)

To set the parameters of s (mean and standard deviation):

s.mean = 100 s.sd = 100

To draw a 1000 samples from s, then summarise:

s.draw(1000) s.summarise()