lyashevska

modular-code-dev

mmt-springboot

Manuscript Management tool with Spring

mypapers

netcdf-isotherms

Create isotherms for 163 years of sea surface temperature

smart-environment-mqtt

AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

blood-clot-paper

Class imbalance in gradient boosting classification algorithms

containers

deep-learning-intro

Learn Deep Learning with Python

dev-env-docker

ds-cr-slides

Slides for digital skills good practices in research software development

EDA_datapreparation

Exploratory data analysis and preparation of data for ML model

EDA_datapreparation-1

Exploratory data analysis and preparation of data for ML model

flounder

Statistical analysis of the effect of environmental variables on abundance of flounder

full-cycle-collaborative-workflow

git-collab-demo

Grid-Spacing-Paper

Data and R-code associated with Lyashevska, Brus, and van der Meer Spatial Statistics paper: Grid-spacing and the quality of abundance maps for species that show spatial autocorrelation and zero-inflation

Linux-Shell-Scripting-A-Project-Based-Approach-to-Learning

Linux Shell Scripting: A Project-Based Approach to Learning, published by Packt

lyashevska

Mapping-Zero-Inflated-Data

Data and R-code associated with Lyashevska, Brus, and van der Meer Ecology and Evolution paper: Mapping species abundance by a spatial zero-inflated Poisson model. A case study in the Wadden Sea, The Netherlands

modular-code-dev-slides

Slides for the CodeRefinery workshop "Good Practices in Research Software Development"

MyCopierTemplate.jl

Testing CopierTemplate.jl

playground-git

playground-github-actions

ProbabilityThing.jl

research-cloud-playground

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

Sealice_Project

test-readthedocs

tiny_python

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.