leebardon
Combining numerical, statistical and agent-based models to explore complex systems.
PhD student at USCLos Angeles, California
Pinned Repositories
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
a-react-app-example-online-web-sp-000
cartopy
Cartopy - a cartographic python library with matplotlib support
Collab-2-Panopto
A production-ready 'Edtech' application for downloading recordings from Blackboard Collaborate, and uploading them to Panopto.
convert_combine
This program extracts N-monthly oceanic data from MITgcm binary output files at Z=0 (surface), and returns an array of shape (144, 90, N).
cookiecutter-for-scientists
Project templates in Python and Julia to help scientists streamline their computational workflow.
easy_slurm
Instantly generate Slurm scripts with the correct module and package dependancies.
lotka_volterra_competition
Short exploration of the Lotka-Volterra model of competition between two species.
paper_manager_app
A web app to help students and researchers organise their academic reading list and keep track of research ideas. Built with Django and React.
stats-biogeo-2021
Extracting and processing data from MIT's Darwin model, and applying statistical learning methods. In support of submitted manuscript.
leebardon's Repositories
leebardon/cookiecutter-for-scientists
Project templates in Python and Julia to help scientists streamline their computational workflow.
leebardon/Collab-2-Panopto
A production-ready 'Edtech' application for downloading recordings from Blackboard Collaborate, and uploading them to Panopto.
leebardon/easy_slurm
Instantly generate Slurm scripts with the correct module and package dependancies.
leebardon/lotka_volterra_competition
Short exploration of the Lotka-Volterra model of competition between two species.
leebardon/cartopy
Cartopy - a cartographic python library with matplotlib support
leebardon/convert_combine
This program extracts N-monthly oceanic data from MITgcm binary output files at Z=0 (surface), and returns an array of shape (144, 90, N).
leebardon/paper_manager_app
A web app to help students and researchers organise their academic reading list and keep track of research ideas. Built with Django and React.
leebardon/18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
leebardon/stats-biogeo-2021
Extracting and processing data from MIT's Darwin model, and applying statistical learning methods. In support of submitted manuscript.
leebardon/BISC588
leebardon/gk_booking
A web app (built in Ruby-on-Rails) designed to manage event bookings, with a customer-facing frontend, and separate admin-only functionality.
leebardon/GMM_example
Demo: how to apply Gaussian mixture modelling to Argo float data
leebardon/gui_app_template
A relatively modern-looking, responsive python gui template, built with PyQt5
leebardon/JuliaTutorials
Learn Julia via interactive tutorials!
leebardon/laser_whale_backend
leebardon/leebardon.github.io
leebardon/MarineEcosystemsJuliaCon2021.jl
leebardon/NPZBD_1D.jl
leebardon/NPZBDV_0D
leebardon/NPZBDV_1D
leebardon/pest-control
Personal project to properly learn unit and integration testing. Using Pytest and Django.
leebardon/pickle-viewer
leebardon/resources
PyMC3 educational resources
leebardon/roadmap
Pangeo Forge public roadmap
leebardon/Sampling-Matrix
A binary matrix for sampling ocean measurement and GCM data.
leebardon/scipy
Scipy library main repository
leebardon/ss23-git
Repository for the GitHub talk in ICCS Summer School '23.
leebardon/stat_rethinking_2020
Statistical Rethinking Course Winter 2020/2021
leebardon/statsmodels
Statsmodels: statistical modeling and econometrics in Python
leebardon/TRACE
TRAit Correlation Evolution Framework