https://github.com/agahkarakuzu/datavis_edu
Presented in BrainHack School 2019-2020, QBIN SciComm 2021
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (13.8%) to scientific vocabulary
Keywords
Repository
Presented in BrainHack School 2019-2020, QBIN SciComm 2021
Basic Info
- Host: GitHub
- Owner: agahkarakuzu
- License: mit
- Language: HTML
- Default Branch: master
- Homepage: https://school.brainhackmtl.org/
- Size: 13.9 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 6
- Open Issues: 0
- Releases: 0
Topics
Metadata Files
README.md
Presentation
Getting started
To work with the notebooks in this repository, you have 3 options.
1- Just one click
All you need is a web browser. Cllick the Binder badge below and start working with the notebooks.
Note that changes you made to the notebooks won't be kept! Don't forget to download notebooks you modified before ending Binder session.
Bonus
2- Repo2Docker
If you still would like to work in a container, but also to run it on your local machine instead of Binder's cloud resources, repo2docker is the easiest solution for you! Make sure that you have Docker installed and running. Not fully supported for Windows users tho :/.
First, simply install repo2docker form pyPI:
pip install jupyter-repo2docker
Then run the following command in your terminal:
jupyter-repo2docker https://github.com/agahkarakuzu/datavis_edu.git
After building (it might take a while!), it should output in your terminal something like:
Copy/paste this URL into your browser when you connect for the first time,
to login with a token:
http://0.0.0.0:36511/?token=f94f8fabb92e22f5bfab116c382b4707fc2cade56ad1ace0
3- Create a new conda environment
Create a new Python 3.6 env:
conda create -n datvis36 python=3.6 anaconda
Activate it:
source activate datvis36
Clone this repository and navigate into it:
git clone https://github.com/agahkarakuzu/datavis_edu.git
cd datavis_edu
Install requirements.txt:
pip install -r requirements.txt
Install postBuild:
cat postBuild | while read in; do eval "$in"; done
This should work fine on OSX or Ubuntu, not sure about Windows. Worst case, you can just copy paste the whole content to your terminal :)
You are ready to go! Start your favorite Jupyter interface (ensure that you are in repo directory):
jupyter notebook
OR
jupyter lab
Owner
- Name: Agah
- Login: agahkarakuzu
- Kind: user
- Location: Montreal
- Company: @neuropoly @qMRLab @neurolibre
- Website: https://agahkarakuzu.github.io
- Twitter: agahkarakuzu
- Repositories: 114
- Profile: https://github.com/agahkarakuzu
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0