slcpd is an auto-generated jupyter datascience notebook.

Set Up Environment

Install anaconda3 then,

conda env create -f ./environment.yml
source activate slcpd

Load datasets

python src/load_crime_data.py load_crime_data

If you add new packages to the environment, save them with:

conda env export -n coursera > environment.yml

develop # (Lab-notebook style)
- [ISO 8601 date]-[DS-initials]-[2-4 word description].ipynb
- 2017-06-28-fc-initial-data-clean.html
- 2017-06-28-fc-initial-data-clean.ipynb
- 2017-06-28-fc-initial-data-clean.py
- 2017-07-02-dg-star-spectroscopy.html
- 2017-07-02-dg-star-spectroscopy.pynb
- 2017-07-02-dg-star-spectroscopy.py
deliver # (final analysis, code, presentations, etc)
- Star-Spectroscopy-Doppler-Shift.ipynb
- Star-Spectroscopy-Doppler-Shift.html
- Star-Spectroscopy-Doppler-Shift.py
figures
- 2017-07-16-dg-spectroscopy-human-spectrum.png
src # (modules and scripts)
- init.py
- load_star_data.py
data (backup-separate from version control)
- spectroscopy-results.csv