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Ploomber: Developing Maintainable and Reproducible Data Pipelines Interactively From Jupyter, VSCode, and PyCharm

Facilitators: Eduardo Blancas and Ido Michael

Please follow the setup instructions before the workshop. If you have any issues, send us a message on Slack

Setup instructions

Ensure you have a GitHub account
Fork this repository (click on fork in the upper right button)

Option 1. Local environment setup

Clone your fork:

# clone the repo (change for your username)
git clone https://github.com/{your-username}/scipy-2022
cd scipy-2022

If using conda:

# create virtual env
conda create --name ploomber-workshop python=3.9 --yes

# activate env
conda activate ploomber-workshop

# install packages
pip install -r requirements.txt

If using pip:

# create virtual env
python -m venv ploomber-workshop

# activate it (if using windows, see note below)
source ploomber-workshop/bin/activate

# install packages
pip install -r requirements.txt

Note: If using Windows, the command to activate the environment is different, click here and scroll down, you'll find a table with the command to run depending on your system.

Option 2. Hosted JupyterLab

To simplify setup, we're offering a hosted JupyterLab.

Once JupyterLab starts, clone your forked repository:

# clone the repo (change for your username)
git clone https://github.com/{your-username}/scipy-2022
cd scipy-2022

Testing setup

To check your setup, run (it may take a few seconds):

python check.py

If everything is good, you'll see the following message:

Everything is working correctly!

If you have any issues setting up, send us a message on our community's #ask-anything channel.

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