https://github.com/unit8co/u8timeseries-viscon
Unit8 timeseries library and VIScon workshop material
https://github.com/unit8co/u8timeseries-viscon
Last synced: about 1 year ago
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Unit8 timeseries library and VIScon workshop material
- Host: GitHub
- URL: https://github.com/unit8co/u8timeseries-viscon
- Owner: unit8co
- License: apache-2.0
- Created: 2019-10-11T09:29:14.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-10-12T10:28:44.000Z (over 6 years ago)
- Last Synced: 2025-04-09T07:32:23.571Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage: https://unit8.co
- Size: 1.48 MB
- Stars: 2
- Watchers: 8
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Preparing for workshop
Find below a few steps you can go through before the workshop begins
## Step 1
Clone this repository
## Step 2
Install Docker Community Edition (CE)
* [Ubuntu](https://docs.docker.com/v17.09/engine/installation/linux/docker-ce/ubuntu/)
* [Windows](https://docs.docker.com/v17.09/docker-for-windows/install/)
* [Mac](https://docs.docker.com/v17.09/docker-for-mac/install/)
## Step 3
Pull the workshop Docker image from the hub (it can take several minutes):
`docker pull kstyrc/timeseries-viscon:0.1`
_Note: The Dockerfile is provided in this repository so you can build/edit it by your own._
## Step 4
- Open a terminal and navigate to the repository cloned in step 1.
- Try to run the Docker image
`docker run -p 8888:8888 -v "$PWD":/home/jovyan/work kstyrc/timeseries-viscon:0.1`
And access the Jupyter web server with your browser (the link is printed in your terminal)
If you can access Jupyter from your browser you're all good for our workshop !
_Note: for Windows users replace `"$PWD"` with `"%cd%"`_
# Contacts
#### Speakers
* Kilian Brandt: kilian(at)unit8.co
* Krzysztof Styrc: kstyrc(at)unit8.co
#### Unit8
* Website: https://unit8.co/
* LinkedIn: https://www.linkedin.com/company/unit8.co/
* Twitter: https://twitter.com/unit8co