Why statistical thinking is fundamentally about embracing uncertainty, not eliminating it.
TODO
Write better Python functions with better parameters, generic functions and function overloads.
Thirteen data science tools setting the standard in 2025.
Twelve Python tools setting the standard in 2025.
Five patterns to guide your Git workflows.
Attention and Multi-Head Attention in NumPy.
And never back again.
Why this new feature is a game changer for developers.
Seventeen terminal, shell and command-line tools setting the standard in 2023.
Ten Python tools setting the standard in 2023.
Improve your energy project modelling with this simple & flexible forecasting technique.
Make your data science workflows better with this classic UNIX tool.
How to setup custom keyboard shortcuts for Jupyter Lab.
Explaining the fully connected, convolution, LSTM and attention deep learning layer architectures.
A guide to the next generation of notebook tooling.
Make your data science projects presentable, reproducible, accessible and extensible.
Ha & Schmidhuber's World Models reimplemented in Tensorflow 2.0.
Getting control using a stateful and stateless LSTM.
Using optimization of a battery to measure forecast accuracy.
A Python library for optimizing batteries, EVs, CHP and renewable generators using mixed-integer linear programming.
Finally - stable learning.
Using the defaultdict store results from temporal simulations in Python.
A simple guide to data provided by AEMO for the Australia's National Electricity Market (NEM).
Tuning hyperparameters of the new energy-py DDQN reinforcement learning agent.
Debugging the new energy-py DQN reinforcement learning agent.
Energy efficiency is not so simple.
I've been learning Python for around eleven months - it's been a wonderful journey!
Concise practical details about the two most common forms of gas based combined heat and power systems.
A Python framework for training reinforcement learning agents on energy systems using Gymnasium and Stable Baselines 3.
Downloading, cleaning & joining UK electricity grid data with pandas, requests and pydantic.
Explaining the relationship between gas turbines and ambient temperature.
An introduction to how the UK recovers electricity grid balancing costs.
The equation I used the most as an energy engineer.
Being careful and consistent when dealing with kilowatts and kilowatt-hours is a basic for all energy professionals.
Explaining the conventions for quantifying the heat of combustion.
