spacy-course | 👩‍🏫 Advanced NLP with spaCy : A free online course

The requirements.txt in the repository defines the packages that are installed when building it with Binder. For this course, I'm using the source repo as the Binder repo, as it allows to keep everything in one place. It also lets the exercises reference and load other files (e.g. JSON), which will be copied over into the Python environment. I build the binder from a branch binder, though, which I only update if Binder-relevant files change. Otherwise, every update to master would trigger an image rebuild. You can specify the binder settings like repo, branch and kernel type in the "juniper" section of the meta.json. I'd recommend running the very first build via the interface on the Binder website, as this gives you a detailed build log and feedback on whether everything worked as expected. Enter your repository URL, click "launch" and wait for it to install the dependencies and build the image.