CoCalc
노트
- CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.[1]
- A crucial part of this ecosystem is SageMathCloud, a cloud-based platform that extends the notebook idea even further.[2]
- During the kick-off meeting of the OpenDreamKit project, someone introduced SageMathCloud to the group.[3]
- I’m currently working on a tutorial for lecturers and teachers on how to use SageMathCloud to support a course.[3]
- SageMathCloud provides a consistent cloud-based computational environment for your course.[4]
- SageMathCloud is affordable, and saves you from administering your own server.[4]
- Additionally, using SageMathCloud saved me from having to deal with any server administration headaches.[4]
- Jupyter Notebooks are widely used in the classroom, and SageMathCloud includes a variety of features to make them work even better.[4]
- First create an account at SageMathCloud.[5]
- Both SageMathCloud and Wakari let you install your own Python packages.[6]
- SageMathCloud is a web-based cloud computing and course management platform for computational mathematics.[7]
- SageMathCloud offers both free and paid accounts.[7]
- Over 200 courses have used SageMathCloud.[7]
- Mid-term last Spring I switched over to using the new “course” functionality in SageMathCloud (SMC).[8]
- In SageMathCloud you can format your writing nicely.[8]
소스
- ↑ Wikipedia
- ↑ Using Jupyter and SageMathCloud at the university
- ↑ 3.0 3.1 SageMathCloud tutorial for lecturers and teachers
- ↑ 4.0 4.1 4.2 4.3 Why I teach with SageMathCloud · KYLE WALKER DATA
- ↑ Using SageMathCloud — AMath 574, Winter 2017 1.0 documentation
- ↑ How to access Python for doing scientific computing
- ↑ 7.0 7.1 7.2 About: SageMathCloud
- ↑ 8.0 8.1 Grading in SageMathCloud
노트
- CoCalc tackles many of the same problems as JupyterLab and JupyterHub but with very different design constraints, motivations, and results.[1]
- CoCalc has had real-time collaboration support for five years.[1]
- Now you will need to add a terminal to your CoCalc account, click onand select “Terminal.[2]
- In the CoCalc environment, to save a notebook to a file on your computer, select the first Notebook (.ipynb)... option of the Download as...[3]
- I am trying to use the gap package SimpComp on CoCalc in Sage.[4]
- I had two contenders to consider: CoCalc and Colab.[5]
- The same training run took more than three times longer in CoCalc.[5]
- There is also a large text version of CoCalc, called CoCalc2.[6]
- We welcome back William Stein to give us an update on his journey from professor to entrepreneur building CoCalc along the way.[7]
- None of the frontend or server dependencies of CoCalc are themselves GPL licensed; they all have non-viral liberal licenses.[8]
- CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.[9]
- CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function.[9]
- This talk includes a demonstration of using CoCalc to provide xandboxes for Ximera.[10]
- Although the interface is a bit cluttered, existing Jupyter users would have a relatively easy time transitioning to CoCalc.[11]
- CoCalc and Datalore provide the best interfaces for version control.[11]
- CoCalc offers 3 GB of disk space per project, and any dataset you upload can be accessed by any notebook in your project.[11]
- Updated 5/17/2019: CoCalc now supports interactive widgets.[11]
소스
- ↑ 1.0 1.1 Real-time collaboration with Jupyter notebooks using CoCalc: Jupyter Notebook conference & training: JupyterCon
- ↑ CoCalc
- ↑ Lecture 2: the notebook – structuring and documenting work flow — Introduction to Symbolic Computation 1.0.0 documentation
- ↑ How to upload and import gap packages on CoCalc
- ↑ 5.0 5.1 CoCalc vs. Colab — Which Is Better for a Hands-On Workshop?
- ↑ CoCalc RPN Scientific Calculator
- ↑ CoCalc: A fully colloborative notebook development environment
- ↑ Cocalc
- ↑ 9.0 9.1 Wikipedia
- ↑ CoCalc and SageMath in service of Ximera
- ↑ 11.0 11.1 11.2 11.3 Six easy ways to run your Jupyter Notebook in the cloud