This talk centers around an early stage start-up reaching the scale-up phase of growth and having to move from an ad-hoc collection of MATLAB scripts to a functioning Python analysis pipeline. All while transforming a team of mechanical engineers into a functioning software engineering and data-science team.
I will paint a picture of the work we do, and how the product was first created - including the wild selection of technologies, before talking about some of the challenges faced in migrating a large monolithic product to a modular codebase. I’ll discuss some the advantages and pitfalls of using Python, and how we trained non-software engineers to produce quality code.
The talk has something for everyone, whether you’re a tech-lead responsible for training & developing your team, a business leader in a scaling startup, or a junior engineer thinking about how to improve.
Python, PyCon, PyConAU, PyConline
Sat Sep 5 11:00:00 2020 at Obvious