I am an ML Engineer working at ZenML. This blog is a place for me to process and
share what I learn along the way.
Reflections on the third chapter of Patrick Viafore's recent book, 'Robust Python'. We get some quick practical examples of how to use type annotation and how to use tools like `mypy` to analyse how typed values pass through your code.
Jan 3, 2022
A nice little helper from the Python standard library
Jan 1, 2022
Reflections on the second chapter of Patrick Viafore's recent book, 'Robust Python'. We learn about types and how they fit into Python.
Dec 30, 2021
Reflections on the first chapter of Patrick Viafore's recent book, 'Robust Python'.
Dec 29, 2021
What I have learned so far about why the J language exists and what problems it tries to solve.
A brief analysis of some of the types of redactions that are commonly found in FOIA documents. I use these as the dataset used to train an object detection model for redactions.
Dec 15, 2021
Dec 11, 2021
Some basics I learned about the object detection model `vfnet`.
Nov 30, 2021
How I used Prodigy to annotate my data ahead of training an object detection model
Nov 29, 2021
The database is only updated once a month, but it is a useful check nonetheless.
Nov 27, 2021
I will be co-hosting a new podcast about MLOps called Pipeline Conversations.
A short post on setting environment variables using Python.
Nov 26, 2021
entr is a useful tool to rerun things when watched files change. It's especially useful when testing.
Nov 25, 2021
Some reflections on the idea of what it is that we do as software engineers.
Nov 21, 2021
A few lessons I've learned about debugging at work in recent weeks
Oct 25, 2021