Instructor: Brett Morris
Thursday, October 10, 2019
Harrison 170
University of Exeter
| Lesson | Time |
|---|---|
| Intro to HDF5 | 9:30-10:00 |
| Packaging tutorial | 10:00-12:30 |
If you're a conda user, simply type:
conda install numpy scipy astropy matplotlib h5py
conda install -c conda-forge jupyterlab
If you prefer pip, type:
pip install numpy scipy astropy matplotlib h5py jupyterlab
For additional resources on getting up to speed in Python, I highly recommend Jake Van der Plas' book A Whirlwind Tour of Python, which is currently available for free. If you're ready to go deeper, there are many freely available books on Python to try.
Example repo: leonard
- astropy package-template tutorial
- Simplified project structure reference
- Python 3 official packaging reference
- reStructuredText cheat sheet for Sphinx documentation
- Reference on 2->3 compatibility
- What's an astropy-affiliated package?
- How can I make my code style look more legit? See: astropy's Coding Guidelines
- How does the testing machinery work? See: astropy's Testing Guidelines
- How do I make the best use of git for my project? See: astropy's Workflow for Maintainers
- How do I make the most of my documentation? See: astropy's Writing Documentation
- Make your code citable by minting a Zenodo DOI for your GitHub repository
- Consider submitting your software to the Journal of Open Source Software (example 1, example 2)
- Make your code conda-installable with a few relatively simple steps with conda-forge