As a data scientist you write a lot of code, so to avoid copying and pasting the same code over and over again, we help you create your own package. Even if you only have a package for your own use, the value is evident; clearer and neater code with a single source of truth. This not only helps to make the code easier to maintain, but also to make it easier to share (if you wish). At the end of this workshop you will have built your first own package, learned how to install it using git and pip and you will know what requirements a smartly built package must meet. This means you have your own framework ready to immediately start building your own package.
Learning goals
At the end of the workshop:
- Do you know what a Python package is and why you might want to create one.
- You can create a GIT project and a virtual environment.
- Can you write a well-documented function?
- You can create and share your own Python package.
Target audience
This workshop is intended for data scientists who have worked with GIT and Python before. You do not have to be an expert in either to participate in this training.
