Josh Moore
Josh is a research software engineer focusing on the standardization and storage of bioimaging data. Typically, that means finding ways of storing large binary with well-defined metadata in order to make them shareable. To that end, he is a maintainer of the Open Microscopy Environment (OME) as well as Zarr projects.
You can find out more under https://joshmoore.github.io
Sessions
A key feature of the Python data ecosystem is the reliance on simple but efficient primitives that follow well-defined interfaces to make tools work seamlessly together (Cf. http://data-apis.org/). NumPy provides an in-memory representation for tensors. Dask provides parallelisation of tensor access. Xarray provides metadata linking tensor dimensions. Zarr provides a missing feature, namely the scalable, persistent storage for annotated hierarchies of tensors. Defined through a community process, the Zarr specification enables the storage of large out-of-memory datasets locally and in the cloud. Implementations exist in C++, C, Java, Javascript, Julia, and Python, enabling.