Tag: python
〈31 May 2022〉
- SLURM notes
I've been treating the HMS cluster like my local machine. Nope.
〈09 Oct 2021〉
- Perspective test
Underestimated the number of carbdoard boxes I recycle everyday at work
〈10 May 2021〉
- Writing a slackbot for org-capture
Or how I learned to appreciate ngrok and my raspberry pi
〈18 Jul 2020〉
- Parsing webpages to build a collection of Qawwali performances
Attempting to parse webpages
〈17 Apr 2020〉
- A Boolean expression to polynomial generator
Useful for bulk converting Boolean rules
〈02 Dec 2019〉
- Multithreading in Python is a pain
Or how I learned about the GIL
〈19 Nov 2019〉
- Testing SWIG: Using C modules in python
faster functions in C, maybe.
〈06 Oct 2019〉
- Diced Circles
Badly drawn pie charts
〈04 Oct 2019〉
- Traffic
Early morning traffic on Mount Road
〈03 Oct 2019〉
- Bubbles
Coffee stains turned to bubbles?
〈02 Oct 2019〉
- Tiling - 1
Euler Map to create tilings
〈01 Oct 2019〉
- Contaminated plates
Procedurally generated hexagons
〈18 Jul 2019〉
- Procedural art: Clouds
Using matplotlib to procedurally generate pink sunsets!
〈02 Mar 2019〉
- Procedural art: Rangolis
Generating rangolli patterns with a minimal set of rules
〈21 Apr 2018〉
- a YASnippet Template for an org-mode notebook
A yasnippet to define a template for a generic computational analysis "experiment"
〈04 Mar 2018〉
- Fun with Mandelbrot sets
Visualizing the Mandelbrot set using matplotib
〈16 Nov 2017〉
- Scripts to generate graphic summaries of weekly org-reports
An alternative to toggl for pretty summaries of org-clock info
〈27 Apr 2017〉
- Compartmental model of cytoskeletal polarization during chemotaxis
Some interesting results from our model of cytoskeletal polarization using Watts-Strogatz randomization to mimic disruption of the cytoskeleton
〈04 Mar 2017〉
- What is the relationship between model size and number of parameters?
〈01 Dec 2016〉
- A script to study Kuramoto Oscillators
Animating a coupled oscillator system using matplotlib
〈30 Nov 2016〉
- Agent Based Simulation of a chronic Influenza infection
An animation from our Mod and Sim class showing the spread of infection using an agent-based model