Lorena A. Barba group


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How repro-packs can save your future-self

The story of a bug-fix after the research paper was published. Back in December 2019 we published a paper along with its reproducibility packages. These repro-packs, as we call them, consist of all the files necessary to reproduce the results in our paper (data and plots) and we deposit them in Zenodo and Figshare archives... Continue »

Reproducible workflow on a public cloud for computational fluid dynamics

Submitted: April 18, 2019. Preprint: arXiv 1904.07981 Revised: Aug. 22. Accepted: Sep. 4. Published: Sep. 17, 2019 DOI 10.1109/MCSE.2019.2941702 Abstract In a new effort to make our research transparent and reproducible by others, we developed a workflow to run and share computational studies on the public cloud Microsoft Azure. It uses Docker containers to create an... Continue »

Lorena Barba interviewed at O'Reilly JupyterCon 2017

Highlights How I got started using Jupyter for teaching: I met Fernando Perez at a workshop, where he gave a talk about IPython notebooks, and immediately I knew I wanted to use this in my classes. I have used them in my classes ever since. First, in my Computational Fluid Dynamics (CFD Python) at Boston... Continue »