https://github.com/antoinewg/immo
House pricing evolution tracking πand recommendation π―
https://github.com/antoinewg/immo
Last synced: 6 months ago
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House pricing evolution tracking πand recommendation π―
- Host: GitHub
- URL: https://github.com/antoinewg/immo
- Owner: antoinewg
- License: mit
- Created: 2020-03-14T12:07:19.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-29T18:26:53.000Z (about 1 year ago)
- Last Synced: 2025-02-14T23:49:32.239Z (8 months ago)
- Language: Python
- Homepage:
- Size: 105 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# immo π
[](https://travis-ci.com/antoinewg/immo)
[](https://codecov.io/gh/antoinewg/immo)## Installation
**Steps**:
- Create virtual environment: `python3 -m venv venv`
- Activate it: `source ./venv/bin/activate`
- Install dependencies: `make install`
- Launch `python manage.py genfixtures` to generate data.You're ready to go π!
Run `make serve` and visit [localhost](http://127.0.0.1:8001) to start.
## Development
#### Dependencies
To update dependencies:
- Install dependency: `pip install `
- Freeze requirements: `make freeze`
- Commit "requirements.txt"#### Tests
Launch the test using: `python -m pytest`
_Options_:
- `::`: only run a specific test,
- `s`: debugger enabled: you can use `ipdb` π.## Next steps
- [ ] Setup Django and postgresql
- [ ] Configure a cron to refresh data every hour `0 * * * *`
- [ ] Frontend to visualize data
- [ ] Monitoring of cron + alert if nice appart available
- [ ] Deploy back & front
- [ ] Recommendation system using Bayesian optimisation.