agahkarakuzu / datavis_edu

Presented in BrainHack School 2019-2020, QBIN SciComm 2021

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