The list of proposed PyHEP.dev mini-sessions

* RooFit and AD in Combine - [ part of GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/5) - scheduled xx:00 next to the coffee table (just an example) * Fitting tools and amplitude analysis / PWA - [ part ofGH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/5) * Automatic Interoperability Between C++ and Python - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/22) * Shared histogram filling with dask-histogram - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/17) * Using custom schedulers with dask - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/23) * Using dask to hide serviceX (or other things) behind dask-awkward - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/14) * Analysis organizational principles in practice: dask / luigi and the line in the sand between the two - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/18) * Doing open source - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/6) * Best practices for collaborative ML R & D: How to structure frameworks and collaboration - [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/26) * Managing user expectations for completion in constrained resource environments (feedback systems!) [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/25) * data lifecycles in modern analysis and efficient tiered caching policies [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/20) * complete ML workflows in analysis: facilities capabilities and user interface [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/19) * Full automatic differentiation applications and gradient sharing [GH issue](https://github.com/HSF/PyHEP.dev-workshops/issues/27) * ... ## 25th July, Tuesday ### Discussion Session 1: 11:30 → 12:30 - **Axes** - front of the blackboard in coffee area - example of a bit of physics logic with awkward that uses axes and could be cleaned up: https://gist.github.com/alexander-held/a9ff4928fe33e8e0c09dd27fbdfd24d9 - **ML** - behind blackboard in coffee area - **Vertical Scaling** - Main auditorium ### Discussion Session 2: 13:30 → 15:00 - **Horizontal scaling** - Main auditorium - **Training** - behind blackboard in coffee area ### Discussion Session 3: 15:30 → 17:15 - **Harmonizing UX and performance** - Main auditorium - **what?** - where?