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* Mid-term last Spring I switched over to using the new “course” functionality in SageMathCloud (SMC).<ref name="ref_f0f5">[http://www.beezers.org/blog/bb/2015/09/grading-in-sagemathcloud/ Grading in SageMathCloud]</ref>
 
* Mid-term last Spring I switched over to using the new “course” functionality in SageMathCloud (SMC).<ref name="ref_f0f5">[http://www.beezers.org/blog/bb/2015/09/grading-in-sagemathcloud/ Grading in SageMathCloud]</ref>
 
* In SageMathCloud you can format your writing nicely.<ref name="ref_f0f5" />
 
* In SageMathCloud you can format your writing nicely.<ref name="ref_f0f5" />
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===소스===
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<references />
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== 노트 ==
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# CoCalc tackles many of the same problems as JupyterLab and JupyterHub but with very different design constraints, motivations, and results.<ref name="ref_1e26">[https://conferences.oreilly.com/jupyter/jup-ny/public/schedule/detail/68375.html Real-time collaboration with Jupyter notebooks using CoCalc: Jupyter Notebook conference & training: JupyterCon]</ref>
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# CoCalc has had real-time collaboration support for five years.<ref name="ref_1e26" />
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# Now you will need to add a terminal to your CoCalc account, click onand select “Terminal.<ref name="ref_39e8">[https://ximera.osu.edu/intro/gettingStarted/cocalc/cocalc CoCalc]</ref>
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# In the CoCalc environment, to save a notebook to a file on your computer, select the first Notebook (.ipynb)... option of the Download as...<ref name="ref_6cc8">[http://homepages.math.uic.edu/~jan/mcs320/mcs320notes/lec02.html Lecture 2: the notebook – structuring and documenting work flow — Introduction to Symbolic Computation 1.0.0 documentation]</ref>
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# I am trying to use the gap package SimpComp on CoCalc in Sage.<ref name="ref_181f">[https://stackoverflow.com/questions/57221351/how-to-upload-and-import-gap-packages-on-cocalc How to upload and import gap packages on CoCalc]</ref>
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# I had two contenders to consider: CoCalc and Colab.<ref name="ref_08f2">[https://towardsdatascience.com/cocalc-vs-colab-which-is-better-for-a-hands-on-workshop-bb6261e2498 CoCalc vs. Colab — Which Is Better for a Hands-On Workshop?]</ref>
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# The same training run took more than three times longer in CoCalc.<ref name="ref_08f2" />
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# There is also a large text version of CoCalc, called CoCalc2.<ref name="ref_ccbe">[http://www.cohort.com/CoCalc.html CoCalc RPN Scientific Calculator]</ref>
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# We welcome back William Stein to give us an update on his journey from professor to entrepreneur building CoCalc along the way.<ref name="ref_e9ff">[https://talkpython.fm/episodes/show/273/cocalc-a-fully-colloborative-notebook-development-environment CoCalc: A fully colloborative notebook development environment]</ref>
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# None of the frontend or server dependencies of CoCalc are themselves GPL licensed; they all have non-viral liberal licenses.<ref name="ref_8914">[https://awesomeopensource.com/project/sagemathinc/cocalc Cocalc]</ref>
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# CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.<ref name="ref_d995">[https://en.wikipedia.org/wiki/CoCalc Wikipedia]</ref>
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# CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function.<ref name="ref_d995" />
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# This talk includes a demonstration of using CoCalc to provide xandboxes for Ximera.<ref name="ref_38dd">[https://www.ima.umn.edu/2017-2018.2/W8.21-25.17/26332 CoCalc and SageMath in service of Ximera]</ref>
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# Although the interface is a bit cluttered, existing Jupyter users would have a relatively easy time transitioning to CoCalc.<ref name="ref_b915">[https://www.dataschool.io/cloud-services-for-jupyter-notebook/ Six easy ways to run your Jupyter Notebook in the cloud]</ref>
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# CoCalc and Datalore provide the best interfaces for version control.<ref name="ref_b915" />
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# CoCalc offers 3 GB of disk space per project, and any dataset you upload can be accessed by any notebook in your project.<ref name="ref_b915" />
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# Updated 5/17/2019: CoCalc now supports interactive widgets.<ref name="ref_b915" />
 
===소스===
 
===소스===
 
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2020년 12월 19일 (토) 06:02 판

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

  1. ↑ Wikipedia
  2. ↑ Using Jupyter and SageMathCloud at the university
  3. ↑ 3.0 3.1 SageMathCloud tutorial for lecturers and teachers
  4. ↑ 4.0 4.1 4.2 4.3 Why I teach with SageMathCloud · KYLE WALKER DATA
  5. ↑ Using SageMathCloud — AMath 574, Winter 2017 1.0 documentation
  6. ↑ How to access Python for doing scientific computing
  7. ↑ 7.0 7.1 7.2 About: SageMathCloud
  8. ↑ 8.0 8.1 Grading in SageMathCloud

노트

  1. CoCalc tackles many of the same problems as JupyterLab and JupyterHub but with very different design constraints, motivations, and results.[1]
  2. CoCalc has had real-time collaboration support for five years.[1]
  3. Now you will need to add a terminal to your CoCalc account, click onand select “Terminal.[2]
  4. 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]
  5. I am trying to use the gap package SimpComp on CoCalc in Sage.[4]
  6. I had two contenders to consider: CoCalc and Colab.[5]
  7. The same training run took more than three times longer in CoCalc.[5]
  8. There is also a large text version of CoCalc, called CoCalc2.[6]
  9. We welcome back William Stein to give us an update on his journey from professor to entrepreneur building CoCalc along the way.[7]
  10. None of the frontend or server dependencies of CoCalc are themselves GPL licensed; they all have non-viral liberal licenses.[8]
  11. CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.[9]
  12. CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function.[9]
  13. This talk includes a demonstration of using CoCalc to provide xandboxes for Ximera.[10]
  14. Although the interface is a bit cluttered, existing Jupyter users would have a relatively easy time transitioning to CoCalc.[11]
  15. CoCalc and Datalore provide the best interfaces for version control.[11]
  16. CoCalc offers 3 GB of disk space per project, and any dataset you upload can be accessed by any notebook in your project.[11]
  17. Updated 5/17/2019: CoCalc now supports interactive widgets.[11]

소스

  1. ↑ 1.0 1.1 Real-time collaboration with Jupyter notebooks using CoCalc: Jupyter Notebook conference & training: JupyterCon
  2. ↑ CoCalc
  3. ↑ Lecture 2: the notebook – structuring and documenting work flow — Introduction to Symbolic Computation 1.0.0 documentation
  4. ↑ How to upload and import gap packages on CoCalc
  5. ↑ 5.0 5.1 CoCalc vs. Colab — Which Is Better for a Hands-On Workshop?
  6. ↑ CoCalc RPN Scientific Calculator
  7. ↑ CoCalc: A fully colloborative notebook development environment
  8. ↑ Cocalc
  9. ↑ 9.0 9.1 Wikipedia
  10. ↑ CoCalc and SageMath in service of Ximera
  11. ↑ 11.0 11.1 11.2 11.3 Six easy ways to run your Jupyter Notebook in the cloud
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