Generating Data With Jupyter Notebook

Introduction

This post is inspired by a problem I was too busy/lazy to solve when I initially had it, but was also solved by finding an easier solution. Nevertheless, I’ve come back to it because there are times that the available easier solutions won’t go far enough to giving access to the types of data you might want to work with.

So the problem was, I wanted to have access to a store of data to practice working with Jupyter Notebook. At the time I had none to work with so I thought about a way to generate some random(ish) data to work with in order to get my practice in. This solution is kind of meta, I use Jupyter Notebook to generate data, so that I can work on the data in Jupyter Notebook.

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Python Distributions Package, Testing and Github

Introduction

So, I’m starting from the end on this one, I have the work done, but I’m going to document some important elements of how to go about creating a Python package, how to run some tests to ensure that it works and how to store it on Github. First I’m going to start with Github, then I’ll work on some testing and finally we’ll discuss the code.

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