mroman42 / mikrokosmos

An educational untyped and simply typed lambda-calculus interpreter that integrates with Jupyter Notebooks and online learning resources.

DOI pending

caporaso-lab / An-Introduction-To-Applied-Bioinformatics

An Introduction to Applied Bioinformatics (or IAB) is a free, open source interactive text that introduces readers to core concepts of bioinformatics in the context of their...

DOI pending

joonro / Org-Coursepack

The Org-Coursepack provides a template for developing and managing teaching materials using Org mode, a major mode in GNU Emacs.

DOI pending

kmader / Quantitative-Big-Imaging-2018

The module focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science...

DOI pending

barbagroup / CFDPython

CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential...

DOI pending

drvinceknight / Nashpy

Nashpy is a python library for the computation of Nash equilibria. The main statement of need is portability as it only requires the standard python scientific stats as dependencies. I previously...

DOI pending

arm61 / pylj

pylj is a Python package designed for use within the Jupyter notebooks framework to allow for the easy visualisation of a 2-dimensional, classical simulation. This software is designed to allow...

gboeing / pynamical

Pynamical is an educational Python package for introducing the modeling, simulation, and visualization of discrete nonlinear dynamical systems and chaos.

riffomonas / reproducible_research

The Riffomonas Reproducible Research tutorial series is a collection of tutorials that focuses on the improvement of reproducible data analysis for those doing microbial ecology research.

DOI pending

arokem / scipy-optimize

Materials for a short (approximately 3-hour) course teaching participants with basic programming experience to use the Scipy library's optimize module to fit models to data.