Have you ever thought about building and maintaining an open source project?
In this meetup, hosted in collaboration with Data For Good, Ian Preston will give a presentation about how he built the stats_can library in response to a need he had in his work as an economist.
He started the project without in-depth knowledge of Python packaging or maintaining an open source project, and he will describe how it evolved from its rough beginnings to where it is today. He also shares the development process, including the tools and techniques he used to get there.
After the presentation we will dive into a workshop & demo on how you can get started on using the library as well as challenges you can tackle. (We will provide access to material ahead of the meetup to give attendees a chance to look at the workshop details.)
Below is a link to the repository for the library including links to the documentation, both for the library itself and the Statistics Canada API that it wraps:
https://github.com/ianepreston/stats_can
Speaker Profile:
Ian Preston
I'm a lifelong nerd. One of the first programs I wrote was a dice roller for dungeons and dragons in GW-BASIC (just writing that makes me feel old). After getting a masters in economics from SFU I joined WCB Alberta as an economist. My current role is team lead of financial planning and data science, where I get to combine my interests in data, programming, and economics to help the organization better serve injured workers, employers, and the people of Alberta.
LinkedIn: https://www.linkedin.com/in/ian-preston-ab027470/
Paula Jennings
Paula from the Data for Good team will give a run-down of the workshop challenges.
LinkedIn: https://www.linkedin.com/in/paula-jennings-9b742115/
The meeting link for the meetup will be made available to attendees prior to the meetup.
