Hacky Hours

The Working Group on Information and the young DPG invite you to their new format “Hacky Hour”. Participants of the DPG spring conferences can submit their own contributions on practical tools for daily scientific work and discuss them with others.

Good tools and programs can greatly support and simplify daily scientific work. But who can know all of them? And who can tell you whether a particular tool or package is really suitable for the intended use and where there are possible pitfalls?

These questions will be addressed in the “Hacky Hours” at the DPG spring conferences.

Do you know an extremely helpful tool or program? Then present it briefly at the next spring meeting and discuss it with others. Please submit your contribution to the conference system under the “Hacky Hour” section of the Working Group On Information or to the Young DPG Working Group.

The next conference with a “Hacky Hour” is the 87th DPG-Jahrestagung 2024 in Berlin..Submission of contributions for the “Hacky Hour” runs until January 12, 2024, regardless of the regular deadline..

Additional documents for the tools presented at the 87th DPG Conference:

AGI 3.1 (6): Get the most out of your data: Interactive Visualisation with Python and Plotly — Christian Faber

Additional information for the Hands On Part can be found at:
https://gitlab.jsc.fz-juelich.de/faber1/talk-data-visualisation-with-plotly

AGI 3.2 (9): Blender for scientific figures and animations — Timo Doerries

Download Blender at https://www.blender.org/ .
Please note that Blender is best used with a mouse and it is not recommended to use a touchpad.

AGI 3.3 (7): MicMag2, an atomistic and micromagnetic simulator python package — Thomas Brian Winkler, Kai Litzius, Hans Fangohr, and Mathias Kläui

You may try to install micmag2 prior to the session and run the script. Installation instruction can be found in the repo at https://github.com/micmag2 .
The jupyter script will be made available there in time.

AGI 3.4 (12): Quantum Many Body Simulations with TeNPy — Johannes Hauschild

Your laptop should have a python environment where you can run jupyter notebooks and have numpy and scipy installed. Furthermore you may install tenpy already..

AGI 3.5 (8): FAILS (Fancy automated internet lecture system) — Marten Richter

A Moodle course on TU Berlin's ISIS platform is available at
https://isis.tu-berlin.de/course/view.php?id=36993 .
If you are from TU Berlin, you can log into the course directly.
 Members of other universities from the Berlin-Brandenburg areas can log into the course via the "Login für andere Hochschulen" button.
Others can join the course as guests with the guest key 'HackYHour2024FAILS'.
You can follow the presentation from the students' perspective in this Moodle course.

AGI 3.6 (13): Hacky teaching — Yoav G. Pollack, Anas Hussin, Jaskaran Singh, and Komal Bhattacharyya

AGI 4.1 (15): Controlling experiments and recording FAIR data with NOMAD CAMELS — Alexander D. Fuchs, Johannes A. F. Lehmeyer, Heiko B. Weber, and Michael Krieger

Please bring your laptop with you. All materials for the hands-on experiments with NOMAD CAMELS are available at https://www.lap.physik.nat.fau.eu/hackyhour/.
To save time, we recommend installing NOMAD CAMELS beforehand (but this is not mandatory).

AGI 4.2 (11): Streamlining Data Management in Laser Plasma Experiments with Python-Flask WebApps — Kristin Tippey, Hans-Peter Schlenvoigt, and Thomas Kluge

AGI 4.3 (10): elabFTW as one building block of our FAIR data exchange — Sebastian T. Weber, Eva Walther, Martin Aeschlimann, Bärbel Rethfeld, and Georg von Freymann

AGI 4.4 (5): Computational Notebook as a Modern Multitool for Scientists — Kirill Vasin

Instructions on installation  (Wolframscipt required, free license available)

AGI 4.5 (3): snip: user-centered lab book — Markus Osterhoff, Sebastian Mohr, and Sarah Köster