Showing 30 materials out of 95
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Alan Turing Institute - Research Software Engineering with Python
research software engineering, programming language, python, collaborative environment
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“Good Enough Practices in Scientific Computing” course
readable code, data analysis, computing, research, data management, collaboration, project organization, manuscripts
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A self-assessment checklist for FAIR research software
fair, self-assessment, checklist, research software
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CodeRefinery: Reproducible research - preparing code to be usable by you and others in the future
readable code, organise software project, reproducible environment
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Top 10 FAIR Data & Software Things
fair, data, research software engineers
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The FAIR Cookbook, online recipes for life scientists that help make and keep data FAIR
fair, life sciences, infrastructure, assessment
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Five recommendations for FAIR software, by the Netherlands eScience Center and DANS
fair, version control, license, registry, repository, citation, checklist
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Open source definition, by the Open Source Initiative
open source, code, license, software
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10 easy things to make your research software FAIR
fair, software
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Automation and Make
makefile, shell, compile
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Course: ResOps - Cloud-native Tools and Technology for Researchers
reproducible environments, cloud, docker, kubernetes, version control, gitlab
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"Ten Reproducible Research Things" Tutorial
version control, documentation, data quality, backup, security, documentation, conventions, structure, automation, version control, persistent identifiers
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The Turing Way: A handbook for reproducible, ethical and collaborative research
version control, git, licensing, reproducible environments, documentation, quality, testing, continuous integration, static code analysis
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Introduction to R
programming language, R, metagenomics
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“How Git Works” course on Pluralsight
version, control, git, github
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Tutorial: Workflows - Combining Tools for Data Analysis
computational workflows, data analysis
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GPU Programming
gpu programming, gpu, cpu, cupy, python, numba, memory
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Programming with Julia
programming language, julia, packaging, module
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Parallel Programming in Python
parallel programming, python, serial, dependency diagram
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GPU Programming: When, Why and How?
gpu programming, gpu, hpc
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CUDA training
gpu programming, gpu, cuda, c, c++, vectors
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OpenACC training
gpu programming, gpu, open acc, c, c++, fortran, supercomputers, bash, makefile
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Introduction to Julia
programming language, julia, computing, hpc
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Julia for high-performance scientific computing
programming language, julia, hpc, gpu computing
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Julia for high-performance data analytics
programming language, julia, hpc, gpu
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Continuous Integration / Continuous Development (CI/CD)
gitlab, collaboration, workflow, reproducibility, CI/CD
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Python Testing and Continuous Integration
python, pytest, testing, automation, continuous integration, CI/CD
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Level Up your Python
programming language, python
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CodeRefinery: Collaborative distributed version control
version, control, git, github
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Workflows with Python and Git
programming language, python, version control