Tutorials

Jupyter notebook python tutorials

Chemistry, quantum computing and software development is tough stuff. We believe that tutorials in the form of jupyter notebooks are a great tool to both disseminate knowledge, but also to showcase all the cool stuff the community has done with Tangelo. Working on notebooks is a great way to contribute to this project, and to show everyone something neat you’ve worked on: perhaps something that led to a hardware experiment, or implemented an interesting approach.

If you are new to Jupyter notebooks, check out this page. You will learn how to deploy a Jupyter server in your environment and use notebooks.

Quickly deploy a notebook in the cloud

Google Colab

If you have a Google account (gmail etc) just click the badge on the landing page of our tutorial repository, or inside any notebook you come across. Notebooks will be launched through your web browser and run on a machine in the cloud.

Click here for more information about Google Colab.

It is possible to install python packages with pip from within an active notebook, by using a ! to signify a bash command, such as below. Sometimes, you may have to restart the notebook kernel for this change to be taken into account.

!pip install git+https://github.com/goodchemistryco/Tangelo.git@develop --quiet