Work Notes

This section of the site is for quick notes, usually to quickly capture the details of something I have found useful at work.

The original motivation was to experiment with what the Government Digital Service call Make things Open: it makes things better.

The main benefit to me of splitting this from the main blog area is that it helps kill writer’s block :-)

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Linear Regression basics - course note

A second notebook test with some course notes on Linear Regression

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Sample Jupyter Notebook

This is a test of importing Jupyter notebooks directly as work notes using the Academic CLI print(1+1) 2

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Working with this Hugo site in GitHub Codespaces

Development Containers work well with WSL2 and GitHub Codespaces, found problems from Windows

TIL - Adjusting Json.NET settings in Azure Durable Functions

Passing objects from a third-party library between functions required a deep-dive into the internals.

Exploring Initial Teacher Training data with Datasette

Learning some core features of Datasette, using a small but interesting set of data from the DfE

Code
TIL - using Channels in dotnet

Using System.Threading.Channels to build async console tools.

Applying ChatGPT-like tools across your own data

Summarising some key principles from Mick Vleeshouwer.

Adding label column for optionset in fact table

More nuances in making a useful facts table from Dynamics sales data

Adding columns to parquet-based fact table

Still learning the basics of working with Parquet files and PySpark

Dataverse resilience pause and reflect

A short reflection on the Dataverse resilience tests so far

Project