[Jupyter] Notebook and Labs in Codio
Blend flexibility, modern tooling, and pedagogy to provide interactive learning experiences across languages and disciplines with JupyterLab and Notebooks.
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Interactive Coding for Comprehensive Learning
By blending executable code, data, and narrative text, JupyterLab Notebooks create a dynamic learning platform that enriches the educational experience, making complex concepts more accessible and engaging for users.
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Tailored Learning and Enhanced Understanding
JupyterLab is particularly beneficial for beginners, offering a user-friendly interface that allows for creating and sharing notebooks, learning keyboard shortcuts, and exploration of markdown and code cells.
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Seamless Integration
With officially supported stacks for Jupyter, instructors can easily set up the required software, and students can start their Jupyter server and access notebooks with a simple double-click.
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Interactive Learning, Assessment, and Visualization
By providing tools for interactive coding, auto-graded assessments, and code visualization, this integration facilitates a deeper understanding of concepts and provides access to leaners' though processes for instructors.
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Just some of the [benefits]
Beginner-Friendly
JupyterLab is particularly beneficial for beginners, offering a user-friendly interface.
Scalable Solutions
Easily manage resources and scale Jupyter labs to accommodate class sizes and project demands.
Enhanced Engagement
Interactive, hands-on labs increase student interest and participation in various subjects.


Click on a student's project, and five seconds later, I can compile, run, and debug without having to unzip or copy and paste it into my own environment.
Dr. Gordon Fraser
Senior Lecturer, Sheffield University
Senior Lecturer, Sheffield University

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FAQs
Help Center
What are Jupyter Notebooks?
Jupyter Notebooks are revolutionary interactive coding environments that work with many popular programming languages like Python and LaTeX. These coding notebooks blend executable code with data and narrative text, providing context and new ways of interacting with and understanding code.
Why are Jupyter Notebooks good for beginners?
Many instructors find that Jupyter Notebooks are good for beginners because they allow users to create and share notebooks, learn keyboard shortcuts, and experience a development environment conducive to deep learning. Beginners can work with various cell types, including markdown cells and code cells, in the Jupyter Notebook interface.
What are the benefits of Jupyter Notebooks being open-source?
Project Jupyter is open-source, meaning the web application is free to use. This fosters innovation and collaboration, making these powerful tools accessible to a wide audience.
How do Jupyter Notebooks help with teaching?
Instructors can offer inline explanations for the code presented to students. These explanations are in close proximity to the code, avoiding large blocks of text. This makes the content less imposing and allows students to be evaluated not just on their code but also on their thought processes behind the code they submit.
Why are Jupyter Notebooks growing in popularity?
Jupyter Notebooks move beyond a traditional IDE and are growing in popularity for modeling, simulations, machine learning, computer science education, and many other domains.
How does Codio integrate with Jupyter?
Codio provides officially supported stacks for Jupyter courses. These templating systems install the required software for Jupyter Notebooks. The Jupyter server automatically starts when the project is opened, rendering the notebook file as expected with a simple double-click.
What is nbgrader and how does it work with Codio?
Nbgrader is a tool that allows instructors to implement auto-graded assessments in their notebooks. Codio handles the distribution of Jupyter Notebooks online automatically, eliminating the need to email students or use Jupyter Hub. Codio keeps track of student work and passes the results to the LMS.
What makes Jupyter Notebooks unique in Codio?
Interactive coding, auto-graded assessments, and code visualization are all at an instructor’s fingertips. The inclusion of code, data, and text provides a narrative that augments the output of the code, offering a unique approach to programming education.
Where can I find more information on using Jupyter Notebooks in Codio?
For more information on using Jupyter Notebooks in Codio, see the Hello Codio in Jupyter Notebooks starter packs (you must have an active Codio account).
Why is nbgrader included?
Including nbgrader further enhances the learning experience by enabling auto-graded assessments without the hassle of distribution.
{Transform} your learners' experience with Codio