Anthony Scopatz, Assistant Professor at the University of South Carolina, HDF guest blogger “Python is great and its ecosystem for scientific computing is world class. HDF5 is amazing and is rightly the gold standard for persistence for scientific data. Many people use HDF5 from Python, and this number is only growing due to pandas’ HDFStore. […]
David Dotson, doctoral student, Center for Biological Physics, Arizona State University; HDF Guest Blogger Recently I had the pleasure of meeting Anthony Scopatz for the first time at SciPy 2015, and we talked shop. I was interested in his opinions on MDSynthesis, a Python package our lab has designed to help manage the complexity of raw and derived
John Readey, The HDF Group Editor’s Note: Since this post was written in 2015, The HDF Group has developed HDF Cloud, a new product that addresses the challenges of adapting large scale array-based computing to the cloud and object storage while intelligently handling the full data management life cycle. If this is something that interests
Andrew Collette, Research Scientist with IMPACT, HDF Guest Blogger “…HDF5 is that rare product which excels in two fields: archiving and sharing data according to strict standardized conventions, and also ad-hoc, highly flexible and iterative use for local data analysis. For more information on using Python together with HDF5…” An enormous amount of effort has
