via_assignment's Introduction

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This package contains the AI software developer assignment.

content:

environment.yml defines the conda environment
data/data.csv contains randomly generated data about the heights and ages of individuals.
src/main.py contains code that reads the data and generates simple histogram plots
src/utils.py contains a function called in src/main.py.

The quality of the code is purposefully very poor.

Your task is to refactor the code to improve its overall quality and to write unit tests using the pytest framework.

To do so:

use whatever python module you choose
feel free to use a linter / pep8
create whatever file/function/folder/class you see fit
improve the quality of the plots in which ever way you see fit, while keeping the original intent of the plots
commit your work regularly in git with meaningful commit messages.

Spend no more than 2 hours on this assignment. To keep the scope small, here is what we do not expect:

do not create new analyses, extra plots or a machine learning model: the data is random and trivial
do not create a browser app or html report or anything like that
do not put the data in a database, do continuous integration or do anything on the cloud

The goal of this assignment is to show how you think about code. Please submit your work as a tar ball of your updated git repo along with a brief document describing your thoughts on what was wrong with the initial code, what you did to make it better, etc.

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