G. D. McBain's repositories

DySys

dynamical systems in SciPy

scikit-fem

Simple finite element assemblers

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agda-stdlib

The Agda standard library

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circuit-graphs

solving circuits with flow graphs

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DataFrames

Welcome to DataFrames.jl with Bogumił Kamiński

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diamol

Code samples for the book "Learn Docker in a Month of Lunches"

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Fiabilipy

Python 3 port of fiabilipy

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G_Seis

Simple GUI application aimed at surface-consistent seismic static and amplitude correction. Interactive velocity model builder

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gdmcbain.github.io

Welcome to the home page of Geordie McBain

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Gridap.jl

Grid-based approximation of partial differential equations in Julia

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HaskellR

The full power of R in Haskell.

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HypothesisTests.jl

Hypothesis tests for Julia

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julia-devcontainer

Julia dev container definition for VS Code Remote Development / Codespaces Container

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julia-vscode-docs

Documentation for the julia VS Code extension

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linkextractor

A Docker tutorial using a link extraction application example

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ModelingToolkitStandardLibrary.jl

A standard library of components to model the world and beyond

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openai-quickstart-node

Node.js example app from the OpenAI API quickstart tutorial

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orthogram

Draw block diagrams.

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PyFunctional

Python library for creating data pipelines with chain functional programming

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pymoca

A Modelica to computer algebra system (CAS) compiler written in python.

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python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

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pythonfrp

an attempt to bring reactive programming into python.

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raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, validation and uncertainty quantification, parameter optimization, model reduction and data knowledge-discovering framework.

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ReactivePanda

https://web.archive.org/web/20170725062950/http://wiki.western.edu/mcis/index.php?title=Reactive_Panda_Web_Site

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reliability

Reliability engineering toolkit for Python - https://reliability.readthedocs.io/en/latest/

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SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

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streamz

Real-time stream processing for python

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Yampa

Functional Reactive Programming domain-specific language for efficient hybrid systems

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