Workshop: "Intro to Scientific Programming in Python"

To Run the Exercises Online:

Course Overview

Day 0

Together, we identified many things we wanted to come away with in the course:

ipywidgets https://ipywidgets.readthedocs.io/en/stable/

Additional Learning Resources

• Data Science Handbook (Jupyter Notebooks): https://github.com/jakevdp/PythonDataScienceHandbook
• Python News Subreddit: https://www.reddit.com/r/python
• Python Learning subreddit (good for asking hard-to-google questions when starting out): https://www.reddit.com/r/learnpython
• Meetup (for open interest groups in copenhagen and abroad): www.meetup.com
• PyData (for conferences and workshops for further learning): www.pydata.com
• EuroScipy (scientific conference for python-using scientists): https://www.euroscipy.org/
• Datacamp: https://www.datacamp.com/

The Terminal

Bash Cheat Sheet: https://learntocodewith.me/command-line/unix-command-cheat-sheet/

Dos Cheat Sheet: https://access.redhat.com/documentation/en-US/Red_Hat_Enterprise_Linux/4/html/Step_by_Step_Guide/ap-doslinux.html

Intro to Python

Mini Intro to Python Online Resources: https://pythonfordatascience.org/

Notebooks from VanderPlas' "Python Data Science Handbook": https://github.com/jakevdp/PythonDataScienceHandbook