Topics

Here, we can keep track of the topics. Put possible future topics in the Suggested Topics table. Topics for which we have a speaker lined up go into Scheduled Topics.

Please don't delete topics that have already been talked about, but instead put them in Previous Topics. This is useful to look up who might be an expert at the USM in some particular topic, or it might help up see what we haven't talked about in a while - perhaps it's worth to revisit that topic!

Scheduled Topics

Date	Topic	Description	Speaker
April 10, 2018	Best Practices in Software Development and Design	Most people working in Astronomy spend a considerable amount of their time developing software. I would like to present my personal view of best tips, tools and best practices to achieve better results from the software developing process. This talk is targeted for everyone who is spending lots of time developing code without having much formal training for doing this.	Martin
April 24, 2018	Python extending and embedding	Speeding up your Python code with C extensions	Michael W.

Suggested Topics

Topic	Description	Speaker
numba	How to speed up slow python code easily with numba. How to make sth. numba-compatible?	Sebastian
The atom editor	General introduction to atom, a modern editor for all needs. Also: presenting my favorite packages.	Til
ipyparallel		Til?
Python tidbits	loading functions from a function name, recarrays, modern string formatting, zip, dictionaries, generators, Python3	Kerstin+?
version control with git	how to use the version control software git	David
LRZ cloud computing	How to create your own virtual machine in the LRZ cloud (and make it host jupyter notebooks)	Til
unit testing	Test-driven development and unit-testing (e.g. unittest in python, googletest in C++)	David
openMP		David
OpenACC		David
Online Vizualization		Someone from magneticum.org?
Locally available services	owncloud, gitlab, github-educational account, adobe connect	Kerstin/Til?
jupyterhub	Setting up jupyterhub: going through the quickstart guide	Til
python & Lectures	How to use python or notebooks in your lectures or for exercises, or exams.
Interactive visualization	d3, glue or related packages
ipython widgets
computing resources	(queuing systems, LRZ, nice, nohup, ...)
reproducible science	refactoring, and best practices
Packaging in python
MPI
Makefiles
Input and configuration files
LaTeX related things	whatever people find useful. Examples: exam package
Slack & Flock*

Previous Topics

Date	Topic	Description	Speaker	Material
March 13, 2018	git	Learn how to use git and github to organize your project	David	https://github.com/birnstiel/code-coffee/blob/master/presentations/GitTutorial.pdf
February 27, 2018	ctypes & cython	How to speed up your python code	Steffen	code
January 30, 2018	pandas	introduction to the pandas package	Kerstin	notebook
December 12, 2017	ipython notebooks	ipython notebooks: why and how to use them.	Til	notebook