Start with Jupyter Notebook

A Jupyter Notebook is an interactive file where you can find both markdown text and executable code with its outputs displayed.

The main tutorials are in this format.

Locally, you can manipulate a Jupyter Notebook file in various ways: in your web browser using the basic ‘Jupyter Notebook’ or the modern ‘JupyterLab’, or in an IDE such as Spyder, VSCode or PyCharm. We recommend using JupyterLab to get started.

Installation of JupyterLab

  1. Activate your conda environment (named by default “my_env”):

conda activate my_env

Note

Replace my_env by your environment name if you called it something else.

  1. Install a tool to manage jupyter notebook like JupyterLab: 

conda install jupyterlab

  1. Create a specific kernel to ensure that the correct environment is used during code execution:

python -m ipykernel install --user --name my-kernel

Note

Replace my-kernel by a distinctive name.

Open tutorial with JupyterLab

  1. Find the path to your tutorial file, it’s ending with .ipynb extension.

  2. Open a terminal inside your tutorial folder and activate your conda environment:

conda activate my_env

  1. Open your tutorial with JupiterLab:

jupyter-lab my_tutorial.ipynb

  1. Once you spin up a jupyter lab, select the my-kernel (the kernel that you defined at step 3.) by clicking on panel “Kernel > Change Kernel…” to be able to run your specific functions.

  2. Now you can follow the tutorial by running each cell with the run icon (or Shift+Enter on keyboard).