With A Jupyter Notebook¶
A Jupyter Notebook is provided to help you get started with the LC gradient optimization. The notebook is available on GitHub and can be run locally.
If you want to learn more about how to use Jupyter Notebook, check out Jupyter Notebook..
Set up Jupyter Notebook¶
See also
If you already set up Jupyter Notebook, you can skip to the next section.
Download and install Python 3.8 or later from python.org.
pip
should be included with Python 3.8 or later. Make sure that the pip
command is
available from the command line by running:
$ pip --version
If you have an older version of Python, you can install pip
by following the instructions at pip installation.
For users new to Python, we recommend using Visual Studio Code to run the notebook. Download and install Visual Studio Code from code.visualstudio.com.
In Visual Studio Code, open the Command Palette (Ctrl+Shift+P) and type “Python: Select Interpreter”. Select the Python 3.8 or later interpreter that you installed in the previous step.
Install Jupyter extensions for Visual Studio Code from the Visual Studio Code Marketplace.
Quick start¶
Install the bago
package from command line:
$ pip install bago
Download the Jupyter Notebook from GitHub.
Follow the instructions in the notebook to get started.
External resources¶
Here are some external resources to help you learn more about Jupyter Notebook: