I've implemented a process for recording the things I learn in the form of questions and answers, using the active recall technique. I document how I use the latex exam class to generate worksheets with and without the answers.
November 26, 2023
Serializing a TensorFlow model to Onnx in order to call it from Scala.
October 15, 2023
Configuring a GitHub Action to deploy updates to my blog.
October 8, 2023
Introduction to metaprogramming, with a specific example using Scala to generate a case class to describe the schema of a dataset.
September 30, 2023
The architecture I use to deploy my personal blog
April 23, 2023
Writing simple tests in Postgres without requiring extra dependencies.
January 15, 2022
Using org mode to generate documentation and infrastructure.
December 29, 2021
Literate programming with org-mode and sql
December 27, 2021
A script for upserting data from Pandas DataFrames into Postgres safely.
August 9, 2021
Using scikit-learn and some Python features to set up a machine learning pipeline to quantify the efficiency of different classifers for classifying the movement of a stock price.
August 3, 2021
I wanted to use lower level linear algebra constructs in Python to calculate a covariance matrix.
July 27, 2021
A script illustrating how the memory usage of a pandas DataFrame can be reduced through altering data types.
July 3, 2021
Some useful Python packages and how they fit into my work.
May 12, 2021
Some notes on useful SQL commands and when they might be useful.
February 26, 2021
A review of different sources on when JSONB is suitable for use.
October 10, 2020
Some of the books I have read which might be useful for Data Science.
June 7, 2020
Recovering point locations from vectors.
May 10, 2020
A review of the MIT 18.065 Spring 2018 opencourseware course, instructed by Gilbert Strang.
May 5, 2020
Some resources that I use to practice for passing coding interviews.
April 24, 2020
A review of numerical linear algebra for machine learning.
April 17, 2020
A review of mathematical concepts helpful for data science.
April 10, 2020
A review of the literature on uncertainty and sensitivity analysis when applied to optimisation models.
February 26, 2020