hzhz2020/tufts_ml_website

Source code for the Tufts ML website

Tufts ML Research Group Website

Source code for the Tufts ML research group website from 2018-present.

Serving the groups of Prof. Bert Huang, Prof. Liping Liu and Prof. Mike Hughes.

Quick links

How to:

• Add an event to the events page
• Add a person to the people page
• Add a course to the courses page
• Build website from source
• Install dependencies

Add events

1. Add a row to the appropriate CSV file

2. Then do make html to rebuild from source.

Event files:

• events_2018_fall.csv

Add people

1. Edit by hand the file: people.md

2. The do make html to rebuild from source

Add course

0. New semester? Add a new CSV file and update the list at the top of make_page__courses.py

1. Add a row to the appropriate CSV file

2. Then do make html to rebuild from source.

Course files:

• courses_2018_fall.csv
• courses_2018_spring.csv

How to build website from source

$ make html         # Build static site on local machine, in output/ folder
$ make serve        # Serve website locally (runs in background). To view, point your favorite browser to: localhost:8000

To push any local changes to the real site, just do:

$ SSH_USER=____ SSH_HOST=____ SSH_TARGET_DIR=____  make rsync_upload 

This will upload the files to SSH_USER@SSH_HOST:SSH_TARGET_DIR via rsync.

Install Dependencies

• Pelican: http://blog.getpelican.com/
• Markdown
• Pandas (for reading/writing csv files)

Installing dependencies with conda (recommended)

$ conda install -c conda-forge pelican
$ conda install markdown
$ conda install pandas