Python in Science Conferences

Water column sonar data collected by echosounders are essential for fisheries and marine ecosystem research, enabling the detection, classification, and quantification of fish and zooplankton from many different ocean observing platforms. We introduce Echostack, a suite of open-source Python software packages that leverage existing distributed computing and cloud-interfacing libraries to support intuitive and scalable data access, processing, and interpretation.

While Python excels at prototyping and iterating quickly, it’s not always performant enough for whole-genome scale data processing. Flyte, an open-source Python-based workflow orchestrator, presents an excellent way to tie together the myriad tools required to run bioinformatics workflows.

Interactive visualizations are invaluable tools for building intuition and supporting rapid exploration of datasets and models. This paper explains the benefits of IPyVuetify with the ability to arbitrarily overlay widgets and plots on top of others to support more flexible details-on-demand techniques.

The ATLAS experiment at CERN explores vast amounts of physics data to answer the most fundamental questions of the Universe. This paper will describe to a broad audience how a large scientific collaboration leverages the power of the Scientific Python ecosystem to tackle domain-specific challenges and advance our understanding of the Cosmos.