Malvika Sharan (HD-HuB), Konrad Förstner
IMIB, GSLS University of Würzburg
Josef-Schneider-Str. 2, Haus D15, Room D15.00.048, 97080 Würzburg
The aim of Software Carpentry is to enable researchers to be more productive while
producing work of higher quality. This 2-day workshop will teach the key skills
required to practice robust computational science effectively and efficiently, and
provide an overview of some of the tools and resources available for modern
Topics covered include:
- An introduction to scripting in Python, and using the language for scientific applications and biological data handling
- Effective use of the Unix command line
- Version control with git and GitHub
This course aims to teach software writing skills and best practices to researchers in
biology who wish to analyze data, and to introduce a toolset that can help them in
their work. The goal is to enable them to be more productive and to make their
science better and more reproducible.
This is a course for Graduate students of the University of Würzburg who are using computers for their
analyses, even if not full time. The target student will know a little bit of command
line/programmatic computer usage, but not consider themselves an expert. A target
student will have written a for loop in some language before, but will not know what
git is (or at least not be very comfortable with advanced git usage).
This course is open for the Graduate students of the University of Würzburg for free.
Programming; Bioinformatics; Data Analysis; Python; Unix; Git; GitHub;
Python; Unix; Git; GitHub; SnakeMake; Jupyter notebook;