Jupyter Notebooks Cocalc Manual Documentation

As the official page of the Jupyter project states: A notebook is a shareable document that combines computer code, plain language descriptions, data, rich visualizations like 3D models, charts, graphs and figures, and interactive controls. A notebook, along with an editor (like JupyterLab), provides a fast interactive environment for prototyping and explaining code, exploring and visualizing data, and sharing ideas with others. Nowadays a Jupyter Notebook is a de facto standard document format, typically stored in .ipynb files, which records interactive sessions with a kernel. It is made up of cells, which can either store one or more lines of code or formatted text. When you run a code cell, the active kernel session evaluates the piece of code in it and the resulting output is shown below.

The combination of communicating back and forth with a kernel and adding descriptive text makes this form of document very attractive. CoCalc has its own implementation of the user interface to work with Jupyter Notebooks, which supports our unique features such as real-time collaboration, AI Assistant, and TimeTravel. However, the underlying format of .ipynb files is exactly the same. You can bring your existing notebooks to CoCalc and resume working, or you can download your work from CoCalc to a local computer or another cloud platform, there is no vendor-lock-in! Most of the time you don’t have to think much about the Jupyter kernel which you are using, because your notebook already has the right kernel selected or your default kernel is picked automatically... But when you want or need to, you can choose the programming language and environment by selecting a kernel explicitly.

See Jupyter Kernel Selection CoCalc allows you to easily use basic and advanced GPUs, as well as machines with a lot of CPU cores and RAM! See Compute Servers for details. Jupyter Widgets are Python objects that let you build interactive GUIs for your Jupyter notebooks. A good way to get started using Jupyter widgets is to go through the Widget List. In CoCalc widgets are fully collaborative, meaning that you and your collaborators share and see exactly the same state of them.

This is different from most other platforms, where changes to controls made by one user are not visible to another. CoCalc Jupyter notebook with Jupyter Widgets For more information on the implementation watch 📺 Jupyter Widgets in CoCalc. You can protect cells from being modified or deleted using Edit > Protect menu. Note that this only prevents accidental edit and delete operations via regular interface. It is easy to bypass this protection using other means or turn it off via Edit > Remove Protection.

Hello, and welcome to CoCalc, an online platform for learning, teaching, writing, research, development - anything where you need to calculate or collaborate! CoCalc’s goal is to provide the best real-time collaborative environment for Jupyter Notebooks, LaTeX documents, and SageMath, scalable from individual use to large groups and classes. We empower you to focus on the task at hand rather than technical details. Work in CoCalc is organized in Projects where you and your collaborators can code in Jupyter Notebooks as well as in R, C, Julia, and other languages; edit LaTeX, Markdown, and many other documents;

© Copyright 2025, Sagemath, Inc., CC BY-4.0 licensed. Please contact us for Questions and Feedback, Documentation Repository, Privacy Policy and ToS. Start CoCalc – start free, upgrade later! Besides CoCalc’s own implementation of the Jupyter Notebook, there is also the possibility of running the JupyterLab server inside your project. To enable an extension for your project you have to Install the extension library for Python 3 (using pip3)

The documentation of the extension you want to install might explain this in more detail. In essence, you have to replace switches like --system (which are for global installations) with --user (which are for installing in your user account, which is equivalent to a project). Jupyter notebooks support more than a single programming language. The element which instantiates a session and runs the code of a cell is called the kernel. The currently active kernel’s display name is visible at the top right of the working area. In most cases it also shows a logo, which helps identify it.

When you start a new notebook, the default kernel will generally be whatever kernel you last explicitly selected. You can override this by creating your own default notebook template. Kernels of existing notebooks are only identified by their name. The actual meaning of it can change between environments, because kernels with the same name could be configured differently. There is no common scheme. Therefore, after uploading any of your notebooks to CoCalc, you have to double-check which kernel it uses.

CoCalc: Collaborative Calculations and Data Science Collaborative Calculation and Data Science Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, and more, all in one place. GAP 4.8.9 installation with standard packages -- copy to your CoCalc project to get it

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