An introduction to Jupyter notebooks and the Noteable service

Editor's Notes

• #3 So firstly, I want to go over Noteable, what is Noteable. Well here is our service definition and as you can see the service provides access to Jupyter notebooks. So here is where talking about Noteable can sometimes be difficult, because to talk about Noteable we need to talk about Jupyter notebooks first.
• #4 The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Originally started out life as the IPython project but quickly took on new life as Jupyter. These notebooks allow you to explore and interact with code in a variety of languages, originally this contained Julia Python and R hence the name but this has now expanded to enable you to work in the Jupyter environment in over a 100 different languages. This is all open source so you can access all of the materials, join the community and contribute to the project. If youd like to know more or want to start getting involved you can head to jupyter.org to find out more.
• #5 So as you can see the benefits from this are the ability to provide context alongside your code that students or colleagues interact with that helps you to build computational narratives. These can become incredibly rich documents as you can also create and interact with data tables and create visualisations of your findings. From students we've also found that this is a lot less intimidating of an environment, many students are put off by the terminal or a traditional IDE and there is a fear of coding that people believe they won't be able to interact or understand. Being able to lower the barrier and make the experience less daunting mean that this is a great platform for introducing concepts quickly and allowing students to start coding.
• #6 Local install – great for exploring concepts on your own but need to manage your libraries and language kernel. Good for exploration but cumbersome for classes. Jupyterhub – cloud service that provides access to notebooks, this service bsed infrastructure means that you can access notebooks without anyneed for installation and also you can pre-configure these environments to contain certain packages. Important as no need to install jupyter but also no need to install any required packages, all students and instructors work in a copy of the same evironment, which means as an instructor if it works for you it will work for your students. Distance learning, creating OERs, dealing with large classes or one of workshops where you don't have time to help everybody get setup and want to maximise the time spent learning.
• #7 Lorena Barba – OER example Data8 Course, huge class size with many people being able to interact with material from wherever they are on whatever setup.
• #8 Hand over to Núria
• #9 Central service, means schools do no have to support individual environments, reducing workload if many schools are individually support infrastructure. Also means that we are able to put more time into development work to add new features, one of these is learn integration we integrate with learn via LTI which means that information about the student is passed across to noteable so we know what courses that student is enrolled on and also means they don't have to login seperately. This gets important later when we start dealing with assessments and grades. Also means schools without the ability or resources to set this up are not left behind.
• #10 Central service, means schools do no have to support individual environments, reducing workload if many schools are individually support infrastructure. Also means that we are able to put more time into development work to add new features, one of these is learn integration we integrate with learn via LTI which means that information about the student is passed across to noteable so we know what courses that student is enrolled on and also means they don't have to login seperately. This gets important later when we start dealing with assessments and grades. Also means schools without the ability or resources to set this up are not left behind.
• #11 Informatics, mathematics, sps, ppls, biological sciences and ECA. Support case for central service supporting many schools Also used as part of digi skills programme Is this the best service for us, what could be better.
• #12 We wanted to give you more of an overview of how our users are making use of noteable, what their use cases and circumstances are and why they have decided to move to Jupyter and Noteable
• #17 Front-loaded programming teaching, still high numbers Less daunting than IDE Essential to smooth running of the course
• #19 100,000 students with data skills so there is a real emphasis on supporting these kind of platform both within the University