cheapest-phone-call

Small challenge to find the best phone operator to use based on call price

We'll be using Python as programing language as it is pretty straightforward to build a fast prototype of the solution, and also as it offers many libraries aimed at making large datasets manipulation easier (pandas, numpy, ...)
We'll be using a Jupyter notebook in order to have a maximum of ergonomy and a beautiful visual presentation. Also, there will be no need to download or re-run the code as the results is already displayed in the notebook.
Unit Testing will be done within the same notebook, in separated cells to show directly that everything runs as expected.
In case we want to have a production-ready prototype that deals with larger datasets, one of the best choices I propose is to use Apache Spark with the Scala API, as it is especially aimed for Big Data, and because it runs on the JVM.

$ git clone https://github.com/redouane-dev/cheapest-phone-call.git
$ cd cheapest-phone-call
Create a virtual environment to avoid dealing with dependency issues and conflicts : $ virtualenv -p python3 venv
$ source ./venv/bin/activate. You'll start seeing a (venv) before the shell prompt.
(venv) $ pip install -r requirements.txt in order to install all the requirements.

Now you should be all set to run the notebook

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