https://github.com/codecentric/from-jupyter-to-production-workshop
Workshop for production-ready data science projects.
https://github.com/codecentric/from-jupyter-to-production-workshop
Last synced: about 1 year ago
JSON representation
Workshop for production-ready data science projects.
- Host: GitHub
- URL: https://github.com/codecentric/from-jupyter-to-production-workshop
- Owner: codecentric
- Created: 2020-10-01T11:50:16.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-10-24T14:17:35.000Z (over 1 year ago)
- Last Synced: 2024-10-25T11:23:46.754Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 5.33 MB
- Stars: 6
- Watchers: 4
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# From Jupyter to Production
## Production-ready Data Science Projects
This repository contains material for the workshop "From Jupyter to Production".
The goal of the workshop is to get a glimpse of production-readiness for data science and machine learning projects.
With the introductory Jupyter notebooks and the exercises found in the [notebooks](https://github.com/codecentric/from-jupyter-to-production-workshop/tree/master/notebooks)
directory, you will learn how to
- Versioning your data and models with DVC
- Build pipelines with Dagster
- Track experiments with MLflow
- Deploy your model with FastAPI
Having installed docker, you can use JupyterLab for the exercises.
## Start JupyterLab
First clone the repository
```bash
git clone https://github.com/codecentric/from-jupyter-to-production-workshop
cd from-jupyter-to-production-workshop
```
and then execute the command
```bash
docker compose up -d
```
You can now use JupyterLab in your browser: [http://localhost:8888](http://localhost:8888)
### Docker Images
If you want to pull the docker images separately
```bash
docker pull codecentric/from-jupyter-to-production-baseimage
```
You will find the source for the docker images here:
[http://github.com/codecentric/from-jupyter-to-production-baseimage](http://github.com/codecentric/from-jupyter-to-production-baseimage)
## Extra Repositories
We provide additional repositories for showcases that do not fit into the JupyterLab setup:
- [Monitoring Showcase (FastAPI + Evidently + Streamlit)](http://github.com/codecentric/from-jupyter-to-production-monitoring)