Ruben Arts

Until very recently, producing and using reproducible scientific software environments required advanced knowledge and a strict adherence to best practices (e.g. DOI: 10.25080/majora-212e5952-028).

Scientific researchers need reproducible software environments for complex applications that can run across heterogeneous computing platforms. Modern open source tools, like Pixi, provide automatic reproducibility solutions for all dependencies while providing a high level interface well suited for researchers.

Hi Developer, are you dealing or even struggling with: - pip not being enough to set up your project's environment - testing your CI workflow locally - managing complex environments This talk is for you!

Scientific researchers need reproducible software environments for complex applications that can run across heterogeneous computing platforms. Modern open source tools, like `pixi`, provide automatic reproducibility solutions for all dependencies while providing a high level interface well suited for researchers.

We all love Python - but we especially love it for its unique ability as a glue language. In this talk we will show a number of ways of extending Python: using Rust, C and Cython, C++, CUDA and Mojo!

Pixi is a modern package manager that bridges the worlds of conda and pip package management. A from-scratch implementation of a SAT solver that works for both pip and conda, native lockfiles and a cross-platform task system are compelling features of this new package manager.

pixi is changing the field for software environment management. pixi bridges the gap between conda and pip with a single binary tool that automatically generates lock-files and can be configured with a single configuration file.