https://github.com/tim-hub/tvnz-hackathon
TVNZ TV On Demand Solution for Robert Walters 2018 Hackathon
https://github.com/tim-hub/tvnz-hackathon
graduate hackathon ipython kiwi newzealand
Last synced: about 1 month ago
JSON representation
TVNZ TV On Demand Solution for Robert Walters 2018 Hackathon
- Host: GitHub
- URL: https://github.com/tim-hub/tvnz-hackathon
- Owner: tim-hub
- License: apache-2.0
- Created: 2018-09-05T23:42:13.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-09-11T22:40:47.000Z (over 6 years ago)
- Last Synced: 2025-01-23T18:50:32.484Z (3 months ago)
- Topics: graduate, hackathon, ipython, kiwi, newzealand
- Language: Jupyter Notebook
- Homepage: https://www.robertwalters.co.nz/robert-walters-hackathon.html
- Size: 66.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# TVNZ Hackathon
This is a project for the Robert Walter 2018 Hackathon. **The TVNZ contents of TV On Demand problem.**
This hackathon is a NZ's locol hackathons for graduates and students. This is coding part of our solution for the problem.
## Basic Structure
All core codes are in the ipython notebook. This is also a flask web application.
The data in data set is from TVNZ website, there are also fake data in it.
For a data science or a developer, the ipython notebook is enough to understand the processing. For who does not good at programming, the flask web application might be better. In my opinion, ipython notebook is more straight-forward.
## referneces
- [2018 hackathon](https://www.robertwalters.co.nz/robert-walters-hackathon.html)