Setup

Running the notebooks locally

To run the notebooks locally, we recommend the following procedure:

• First clone the GitHub repository containing the notebooks. The following command will create a directory notebooks with all the files from the repository inside:

$ git clone https://github.com/dataflowr/notebooks.git

• Then, create a virtual environment: the following command will create a directory dldiy and also create directories inside it (so you might want to create this directory inside /notebooks)

$ python3 -m venv dldiy

• Activate the virtual environment:

$ source dldiy/bin/activate

• In order to be able to use this virtual environment with your jupyter notebook, you need to add a kernel. Inside your environment, install first ipykernel

(dldiy)$ pip install ipykernel
(dldiy)$ ipython kernel install --user --name=dldiy

• Now, you need all the relevant packages in your virtual environment.

(dldiy)$ cd notebooks
(dldiy)/notebooks$ pip install -r requirements.txt

• You ae all set! If you launch jupyter notebook, you should be able to change the kernel to dldiy.

tl;dr

$ git clone https://github.com/dataflowr/notebooks.git
$ python3 -m venv dldiy
$ source dldiy/bin/activate
(dldiy)$ pip install ipykernel
(dldiy)$ ipython kernel install --user --name=dldiy
(dldiy)$ cd notebooks
(dldiy)/notebooks$ pip install -r requirements.txt
(dldiy)/notebooks$ jupyter notebook

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