This is the course material for the Software Carpentry workshop taking place in Würzburg November 8th, 2017. The course is an introduction for novices to the Unix Shell and Python.
- Introduction of the instructors and helpers
- Name tags
- Sticky notes
- Introduction of the participants
- Ice breaker - Sort people by the following values:
- Sort by time time in research
- Group by research field
- Considering the course topic - how strong do you feel about knowing this already?
- Code of Conduct https://software-carpentry.org/conduct/ => Be excellent to each other!
- Breaks
- Coffee/Tea
- Bathroom
- Wifi
- Material of the course
- The etherpad
- http://pad.software-carpentry.org/p/2017-10-23-Wuerzburg.
- Short URL: http://bit.ly/2vzEnex
- Exercise - add your name to the list of participants
- Motivation
- Automation
- Reproducibility / Transparency
- Who has still issues with installation?
- Files, folders, locations
- Manipulating files and folders
- Connecting tools with pipes
for
loops- Shell scripting
- Print, literal constants
- Variables
- Data structures: str, int, float, list, dict
- String format operators
for
loop- Conditionals
if
else
startement - File handling
- Function definition
- Writing Python scripts
- The Softare Carpentry Git lesson
- Setup
- Creating a Repository
- Tracking Changes
- Exploring History
- Ignoring things
- Remote repositories
- GitHub
-
Text Editors / IDEs (integrated development environment)
-
Main ways to work with Python
- Script
- interactive after calling "python" or "ipython" (REPL)
- Jupyter notebook
-
Markdown - A markup language
-
Python 2.7 (legacy!) vs Python 3 (currently 3.6)
-
Comparison of R to Python
-
Useful Python libraries
- pandas
- numpy
- scipy
- Biopython
- scikit-learn - Machine learning
- scikit-image - Image analysis
- matplotlib - 2D plotting library
- seaborn - statistical data visualization
- bokeh
- statsmodel
This work by Markus Ankenbrand and Konrad Förstner is licensed under a Creative Commons Attribution 4.0 International License.