- snippet
Merging dicts with the union operator
Python 3.9 introduced a new operator to streamline unions.
Tutorial Posts
Python, statistics, and machine learning tutorials.
Use the buttons below to filter down.
- snippet
Simple Multiprocessing in Python
Comparing inbuilt solutions to a range of external libraries.
- statistics
Low Poly Art
Low poly art animations using scipy is actually pretty simple
- statistics
Genetic Algorithms 2: Painting Vermeer
A gentle introduction to genetic algorithms by recreating painting classics
- statistics
Genetic Algorithms 1: Starry Night
A gentle introduction to genetic algorithms by recreating painting classics?
- statistics
Linear Regression Regularization Explained
Why do we regularize our linear models? When do we turn this on or off?
- statistics
An Introduction to Gaussian Processes
Welcome to the wonderful world of non-parametric models and kernel functions.
- statistics
Principle Component Analaysis Explained
What is PCA? How does it work? Is the math that bad? How do I use it? All answers lie within!
- statistics
Fuzzy String Matching
Removing the hassle of misspelling from a dataset
- plotting
Visualising Patient Contributions for the CCCC
A visual thank you to our contributing sites
- statistics
Training a Neural Network Embedding Layer with Keras
Using python, Keras and some colours to illustrate encoding as simply as possible
- plotting
Gource - Visualisating Code Contributions
Turn your git log into a fancy video
- statistics
PR vs ROC Curves - Which to Use?
Exploring the difference between the graphs using python.
- statistics
Naive Bayes - Introduction, Assumptions, and Pitfalls
A beginners introduction to Naive Bayes in python.
- statistics
An Introduction to Logistic Regression
A beginners introduction to logistic regression in python.
- plotting
Evolution of US COVID-19 cases
Practise with pandas, python and plotly.
- plotting
Which Big City has the best Weather?
Python Plotting Preferred Weather
- plotting
Plotting US COVID-19 Incidence
A quick redesign of an incidence reporting plot
- environment
Getting started with Boost, Python, and Numpy
After failing to find a tutorial that was actually complete, I decided to make one myself.
- statistics
Monte-Carlo Integration made easy
A practical Python explanation of Monte-Carlo integration
- statistics
A visual tutorial of Inversion Sampling
Efficient inversion sampling explained with Python.
- snippet
One Line Python Singletons
Goodbye boilerplate code, hello an elegant one line solution to get singletons in python
- snippet
Removing Empty Columns
Remove mostly empty columns to clean your data using pandas.
- snippet
Handy Python Decorators
A short example on how to use decorators in your code to provide extra functionality
- snippet
Trivial One Hot Encoding in Python
The most efficient code snippet to one-hot encode columns
- statistics
A visual tutorial of Rejection Sampling
Von Neumann rejection sampling explained with Python and animations.
- statistics
Forward Modelling for Supernova Cosmology
A toy model implementation
- statistics
A/B Test Significance in Python
Using Python to determine just how confident we are in our A/B test results
- plotting
Visualising with Basemap
Plotting DES institutions in a beautiful way
- bayesian
Propagating (non-gaussian) uncertainty
From samples back to model confidence regions
- bayesian
Bayesian Sample Selection Effects
Sample bias and selection effects are the worst. Here's one solution.
- bayesian
Bayesian Linear Regression in Python
A tutorial from creating data to plotting confidence intervals.
- environment
Setting up a scientific python environment
A super short guide to quickly setting up a viable python environment.
- plotting
Additive Blending in Matplotlib
A short tutorial on additive blending using matplotlib and numpy.