https://github.com/sim51/docker-data-science-training
https://github.com/sim51/docker-data-science-training
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/sim51/docker-data-science-training
- Owner: sim51
- Created: 2019-02-26T17:47:35.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-16T09:58:15.000Z (about 6 years ago)
- Last Synced: 2025-04-10T23:03:47.856Z (about 2 months ago)
- Language: Shell
- Size: 3.91 KB
- Stars: 2
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.adoc
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README
= Docker environment for the data science training
== Launch the environment
=== On all environment
==== Step 1 : Download neo4j plugins
First you need to download the latest version of those plugins, and put them inside the `plugins` directory :
* APOC : https://github.com/neo4j-contrib/neo4j-apoc-procedures/releases/
* Graph Algos : https://github.com/neo4j-contrib/neo4j-graph-algorithms/releases/
For example, the current when I write this file are :
* https://github.com/neo4j-contrib/neo4j-graph-algorithms/releases/download/3.5.3.1/graph-algorithms-algo-3.5.3.1.jar
* https://github.com/neo4j-contrib/neo4j-apoc-procedures/releases/download/3.5.0.2/apoc-3.5.0.2-all.jar
==== Step 2 : Clone the training repository
In this directory, just clone the training repository : `git clone https://github.com/mneedham/data-science-training`
==== Step 3 : Launch docker
You just have to run `docker-compose up`
=== On linux
On linux you can directly run the script `run.sh`, it will download everything you need and also run the `docker-compose up` command for you.
== Use the environment
Your Neo4j database is available on your laptop at this url http://localhost:7474/browser with the following login/password -> neo4j / admin
But inside other container (like the jupyter one) your should use `bolt://data-science-training-neo4j`.
Jupyter is available at the following url http://localhost:8888/
To login, you will need to search the token in the docker logs something. You should see something similar to that : `[I 17:39:57.299 NotebookApp] http://(9d6f11a3c1a1 or 127.0.0.1):8888/?token=04833158d59cd1ac094602f9b097822a904fa285607e1c59`