List of registrations in EVERSE Training
Added a total of 103 training resources in EVERSE Training.
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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Five recommendations for FAIR software, by the Netherlands eScience Center and DANS
fair version control license registry repository citation checklist
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A self-assessment checklist for FAIR research software
fair self-assessment checklist research software
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Open source definition, by the Open Source Initiative
open source code license 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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10 easy things to make your research software FAIR
fair software
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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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Introduction to R
programming language R metagenomics
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Tutorial: Workflows - Combining Tools for Data Analysis
computational workflows data analysis
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"Ten Reproducible Research Things" Tutorial
version control documentation data quality backup security conventions structure automation 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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“How Git Works” course on Pluralsight
version control git github
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Automation and Make
makefile shell compile
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GPU Programming
gpu programming gpu cpu cupy python numba memory
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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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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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Programming with Julia
programming language julia packaging module
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Software Carpentry: Git Novice lesson
version control git github licensing
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CodeRefinery: Collaborative distributed version control
version control git github
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CodeRefinery: Introduction to version control
version control git github
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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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Workflows with Python and Git
programming language python version control