Prior exposure to ipywidgets and/or familiarity with object-oriented programming is recommended. We review the basics of ipywidgets within the first hour and quickly move on to more advanced design principles.
There are two ways to access this tutorial. We recommend installing the environment locally with Anaconda or Miniconda, but if you experience trouble and need a quick backup, feel free to launch this tutorial with Binder.
If you would like to run this tutorial locally on your own computer, please follow these instructions:
- Clone this repository with
git clone https://github.com/Jupyter4Science/scipy2024-jupyter-widgets-tutorial - If you don’t have it already, you will need to download and install Miniconda
- Run
conda env create -f environment.ymlto create a conda environment calledcomplexapps-2024 - Run
conda activate complexapps-2024to activate the conda environment - Change directory into the tutorial materials and run
jupyter labto launch JupyterLab
We will follow the notebooks in the tutorial sequentially, starting with
00_welcome.ipynb.
Put a post-it on your computer when you have this notebook open.
You can launch these notebooks in a Binder environment by clicking the badge below. This requires no extra installation of software on your part. Just click the link and follow along.
Binder will automatically shut down user sessions that have more than 10 minutes of inactivity (if you leave a jupyterlab window open in the foreground, this will generally be counted as “activity”). Binder tries to guarantee that active sessions will last up to 6 hours.
We will start from a fresh checkpoint after every break, so if your Binder session ends, you can just restart a new session and the beginning of the next section.