Crandi

Cocalc Github Sagemathinc

Leo Migdal
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cocalc github sagemathinc

CoCalc is web-based software that enables collaboration in research, teaching, and scientific publishing. It includes Jupyter Notebooks, Sage Worksheets, a LaTeX Editor and a Linux Terminal to help people work together in real time from different locations. It also has a Computational Whiteboard for expressing and sharing ideas and running code. It is available for free and can be upgraded for internet access, better hosting quality, and other features. It can also be used for teaching courses with flexible course license options. It is also possible to run CoCalc on your own infrastructure.

CoCalc supports sophisticated calculations that arise in teaching, research, and authoring documents. This includes working with the full data science and scientific Python stack, SageMath, Julia, R Statistics, Octave, and much more. It also offers capabilities to author documents in LaTeX, R/knitr and Markdown, storing and organizing files, a web-based Linux Terminal, an X11 graphical desktop, and communication tools like a chatrooms, course management and more. It is the best choice for teaching remote scientific courses. You can obtain a packaged version of CoCalc for your own on-premises infrastructure: CoCalc Cloud. It runs on Kubernetes and inherits the security and scalability of the SaaS platform.

CoCalc Cloud runs on Kubernetes and inherits the security and scalability of the SaaS platform. To get started: For more detailed information on self-hosting options, please contact help@sagemath.com. We've verified that the organization sagemathinc controls the domains: CoCalc: Collaborative Calculation in the Cloud collection of example documents for use within cocalc's library

Collection of examples to get started with CoCalc CI related: a collection of logo variants, images, posters and flyers for cocalc URL: https://github.com/sagemathinc/cocalc-compute-docker There will be sections below with step-by-step instructions about how to update, build and test the compute server Docker images and npm pacckages we manage. For things that aren't documented yet, you have to just read the source code, Makefiles and Dockerfiles. The Makefile is useful as a makefile, but it's not at all a traditional "bullet proof" makefile that ensure any relevant dependency is automatically built.

It's a useful way to run scripts, as documented here, and that is all. Sometimes you'll just have to read the makefile to figure out how to build dependencies of a target. IMPORTANT: For Docker containers we always explicitly use version numbers, and NEVER rely on latest anywhere here or in CoCalc. This is important to understand. The version to use is explicitly listed in images.json, and in the admin panel of cocalc, you specify to use a particular version of images.json (which could be in a fork of this repo!). For the cocalc npm package we do use the latest and test tags.

I've taken great pains to ensure we fully support both architectures. This adds complexity and extra work at every step, but is the right thing to do at this point. In particular, often the pattern is something like (1) running make x && make push-x on x86_64, then run the same on arm64, then on exactly one of the two platforms run make assemble-x. In particular, you must setup separate x86_64 and arm64 build hosts -- there is no way around it. We do not try to use the internal qemu based emulation, since many of our images (e.g., building sage) are just way too complicated for that to work. CoCalc is web-based software that enables collaboration in research, teaching, and scientific publishing.

It includes Jupyter Notebooks, Sage Worksheets, a LaTeX Editor and a Linux Terminal to help people work together in real time from different locations. It also has a Computational Whiteboard for expressing and sharing ideas and running code. It is available for free and can be upgraded for internet access, better hosting quality, and other features. It can also be used for teaching courses with flexible course license options. It is also possible to run CoCalc on your own infrastructure. CoCalc supports sophisticated calculations that arise in teaching, research, and authoring documents.

This includes working with the full data science and scientific Python stack, SageMath, Julia, R Statistics, Octave, and much more. It also offers capabilities to author documents in LaTeX, R/knitr and Markdown, storing and organizing files, a web-based Linux Terminal, an X11 graphical desktop, and communication tools like a chatrooms, course management and more. It is the best choice for teaching remote scientific courses. Choose a computational environment (e.g., Jupyter Notebook, Sage Worksheet, LaTeX Editor) Start collaborating with others in real-time Jupyter Notebooks: Interactive Python, R, and Julia environments

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Please reload this page. There was an error while loading. Please reload this page. Collaborative Calculation and Data Science Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, and more, all in one place. CoCalc is web-based software that enables collaboration in research, teaching, and scientific publishing.

It includes Jupyter Notebooks, Sage Worksheets, a LaTeX Editor and a Linux Terminal to help people work together in real time from different locations. It also has a Computational Whiteboard for expressing and sharing ideas and running code. It is available for free and can be upgraded for internet access, better hosting quality, and other features. It can also be used for teaching courses with flexible course license options. It is also possible to run CoCalc on your own infrastructure. CoCalc supports sophisticated calculations that arise in teaching, research, and authoring documents.

This includes working with the full data science and scientific Python stack, SageMath, Julia, R Statistics, Octave, and much more. It also offers capabilities to author documents in LaTeX, R/knitr and Markdown, storing and organizing files, a web-based Linux Terminal, an X11 graphical desktop, and communication tools like a chatrooms, course management and more. It is the best choice for teaching remote scientific courses. You can obtain a packaged version of CoCalc for your own on-premises infrastructure: CoCalc Cloud. It runs on Kubernetes and inherits the security and scalability of the SaaS platform. CoCalc Cloud runs on Kubernetes and inherits the security and scalability of the SaaS platform.

To get started: For more detailed information on self-hosting options, please contact help@sagemath.com.

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