Documentation on DataThrillz

Software Engineering as a Data Scientist

Sat, 20 Feb 2021 17:37:51 +0000

Many of us in Data Science come from math, biology, chemistry or engineering or other non-Computer Science backgrounds, which may mean that we don’t have much experience writing and maintaining large code bases. Recently, I found myself getting frustrated with the structure of some of my code and searching for a better way to structure my code base. Let’s explore some ways that we can improve our Software Engineering skills as Data Scientists!

Creating Projects from Cookiecutter Templates

Mon, 25 Jan 2021 18:09:45 +0000

Ever want to generate a new repo based on a predefined template? Now you can using Cookiecutter! I will show you how to easily spin up a fresh Cookiecutter repo for your latest data science project in Python.

Cookiecutter is an awesome command-line tool and Python package that creates projects (aka populates repo folders) based on cookiecutters (or project templates). What does this mean? Goodbye to manually copying and pasting old project repos. Now, you can automatically clone one of the thousands of cookiecutters or you can create your own.

Writing Awesome READMEs

Wed, 13 Jan 2021 17:08:23 +0000

This article will explore possible items to include your Git repo README file. We will discuss several items that we can include in a README and when to include them.

What is a README?

A README file is a text file that explains a project to new user. It helps users quickly understand where to find information on the project such as brief description of your project, how to install/fork it and/or how to use your code. READMEs live in the top level directory of your repo in GitHub, Bitbucket or GitLab.