"CoCalc"의 두 판 사이의 차이

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== 노트 ==
 
== 노트 ==
  
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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 (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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* A crucial part of this ecosystem is SageMathCloud, a cloud-based platform that extends the notebook idea even further.<ref name="ref_96bc">[https://opensource.com/education/16/9/jupyter-and-sagemathcloud-university-sheffield Using Jupyter and SageMathCloud at the university]</ref>
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# A crucial part of this ecosystem is SageMathCloud, a cloud-based platform that extends the notebook idea even further.<ref name="ref_96bc">[https://opensource.com/education/16/9/jupyter-and-sagemathcloud-university-sheffield Using Jupyter and SageMathCloud at the university]</ref>
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* During the kick-off meeting of the OpenDreamKit project, someone introduced SageMathCloud to the group.<ref name="ref_ff7e">[https://walkingrandomly.com/?p=6140 SageMathCloud tutorial for lecturers and teachers]</ref>
+
# During the kick-off meeting of the OpenDreamKit project, someone introduced SageMathCloud to the group.<ref name="ref_ff7e">[https://walkingrandomly.com/?p=6140 SageMathCloud tutorial for lecturers and teachers]</ref>
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* I’m currently working on a tutorial for lecturers and teachers on how to use SageMathCloud to support a course.<ref name="ref_ff7e" />
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# I’m currently working on a tutorial for lecturers and teachers on how to use SageMathCloud to support a course.<ref name="ref_ff7e" />
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* SageMathCloud provides a consistent cloud-based computational environment for your course.<ref name="ref_d43a">[https://walker-data.com/2017/02/sage-math-cloud/ Why I teach with SageMathCloud · KYLE WALKER DATA]</ref>
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# SageMathCloud provides a consistent cloud-based computational environment for your course.<ref name="ref_d43a">[https://walker-data.com/2017/02/sage-math-cloud/ Why I teach with SageMathCloud · KYLE WALKER DATA]</ref>
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* SageMathCloud is affordable, and saves you from administering your own server.<ref name="ref_d43a" />
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# SageMathCloud is affordable, and saves you from administering your own server.<ref name="ref_d43a" />
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* Additionally, using SageMathCloud saved me from having to deal with any server administration headaches.<ref name="ref_d43a" />
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# Additionally, using SageMathCloud saved me from having to deal with any server administration headaches.<ref name="ref_d43a" />
−
* Jupyter Notebooks are widely used in the classroom, and SageMathCloud includes a variety of features to make them work even better.<ref name="ref_d43a" />
+
# Jupyter Notebooks are widely used in the classroom, and SageMathCloud includes a variety of features to make them work even better.<ref name="ref_d43a" />
−
* First create an account at SageMathCloud.<ref name="ref_149f">[https://faculty.washington.edu/rjl/classes/am574w2017/smc.html Using SageMathCloud — AMath 574, Winter 2017 1.0 documentation]</ref>
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# First create an account at SageMathCloud.<ref name="ref_149f">[https://faculty.washington.edu/rjl/classes/am574w2017/smc.html Using SageMathCloud — AMath 574, Winter 2017 1.0 documentation]</ref>
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* Both SageMathCloud and Wakari let you install your own Python packages.<ref name="ref_0538">[http://hplgit.github.io/primer.html/doc/pub/accesspy/._accesspy-bootstrap008.html How to access Python for doing scientific computing]</ref>
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# Both SageMathCloud and Wakari let you install your own Python packages.<ref name="ref_0538">[http://hplgit.github.io/primer.html/doc/pub/accesspy/._accesspy-bootstrap008.html How to access Python for doing scientific computing]</ref>
−
* SageMathCloud is a web-based cloud computing and course management platform for computational mathematics.<ref name="ref_d352">[http://dbpedia.org/page/SageMathCloud About: SageMathCloud]</ref>
+
# SageMathCloud is a web-based cloud computing and course management platform for computational mathematics.<ref name="ref_d352">[http://dbpedia.org/page/SageMathCloud About: SageMathCloud]</ref>
−
* SageMathCloud offers both free and paid accounts.<ref name="ref_d352" />
+
# SageMathCloud offers both free and paid accounts.<ref name="ref_d352" />
−
* Over 200 courses have used SageMathCloud.<ref name="ref_d352" />
+
# Over 200 courses have used SageMathCloud.<ref name="ref_d352" />
−
* 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>
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* In SageMathCloud you can format your writing nicely.<ref name="ref_f0f5" />
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# 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>
 
# 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>
 
# CoCalc has had real-time collaboration support for five years.<ref name="ref_1e26" />
 
# CoCalc has had real-time collaboration support for five years.<ref name="ref_1e26" />
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===소스===
 
===소스===
 
  <references />
 
  <references />
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q17079032 Q17079032]
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===Spacy 패턴 목록===
 +
* [{'LEMMA': 'cocalc'}]
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* [{'LEMMA': 'SageMathCloud'}]

2021년 2월 17일 (수) 01:39 기준 최신판

노트

  1. CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.[1]
  2. A crucial part of this ecosystem is SageMathCloud, a cloud-based platform that extends the notebook idea even further.[2]
  3. During the kick-off meeting of the OpenDreamKit project, someone introduced SageMathCloud to the group.[3]
  4. I’m currently working on a tutorial for lecturers and teachers on how to use SageMathCloud to support a course.[3]
  5. SageMathCloud provides a consistent cloud-based computational environment for your course.[4]
  6. SageMathCloud is affordable, and saves you from administering your own server.[4]
  7. Additionally, using SageMathCloud saved me from having to deal with any server administration headaches.[4]
  8. Jupyter Notebooks are widely used in the classroom, and SageMathCloud includes a variety of features to make them work even better.[4]
  9. First create an account at SageMathCloud.[5]
  10. Both SageMathCloud and Wakari let you install your own Python packages.[6]
  11. SageMathCloud is a web-based cloud computing and course management platform for computational mathematics.[7]
  12. SageMathCloud offers both free and paid accounts.[7]
  13. Over 200 courses have used SageMathCloud.[7]
  14. Mid-term last Spring I switched over to using the new “course” functionality in SageMathCloud (SMC).[8]
  15. In SageMathCloud you can format your writing nicely.[8]
  16. CoCalc tackles many of the same problems as JupyterLab and JupyterHub but with very different design constraints, motivations, and results.[9]
  17. CoCalc has had real-time collaboration support for five years.[9]
  18. Now you will need to add a terminal to your CoCalc account, click onand select “Terminal.[10]
  19. In the CoCalc environment, to save a notebook to a file on your computer, select the first Notebook (.ipynb)... option of the Download as...[11]
  20. I am trying to use the gap package SimpComp on CoCalc in Sage.[12]
  21. I had two contenders to consider: CoCalc and Colab.[13]
  22. The same training run took more than three times longer in CoCalc.[13]
  23. There is also a large text version of CoCalc, called CoCalc2.[14]
  24. We welcome back William Stein to give us an update on his journey from professor to entrepreneur building CoCalc along the way.[15]
  25. None of the frontend or server dependencies of CoCalc are themselves GPL licensed; they all have non-viral liberal licenses.[16]
  26. CoCalc (formerly called SageMathCloud) is a web-based cloud computing (SaaS) and course management platform for computational mathematics.[1]
  27. CoCalc supports Jupyter notebooks, which are enhanced with real-time synchronization for collaboration and a history recording function.[1]
  28. This talk includes a demonstration of using CoCalc to provide xandboxes for Ximera.[17]
  29. Although the interface is a bit cluttered, existing Jupyter users would have a relatively easy time transitioning to CoCalc.[18]
  30. CoCalc and Datalore provide the best interfaces for version control.[18]
  31. CoCalc offers 3 GB of disk space per project, and any dataset you upload can be accessed by any notebook in your project.[18]
  32. Updated 5/17/2019: CoCalc now supports interactive widgets.[18]

소스

  1. ↑ 1.0 1.1 1.2 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
  9. ↑ 9.0 9.1 Real-time collaboration with Jupyter notebooks using CoCalc: Jupyter Notebook conference & training: JupyterCon
  10. ↑ CoCalc
  11. ↑ Lecture 2: the notebook – structuring and documenting work flow — Introduction to Symbolic Computation 1.0.0 documentation
  12. ↑ How to upload and import gap packages on CoCalc
  13. ↑ 13.0 13.1 CoCalc vs. Colab — Which Is Better for a Hands-On Workshop?
  14. ↑ CoCalc RPN Scientific Calculator
  15. ↑ CoCalc: A fully colloborative notebook development environment
  16. ↑ Cocalc
  17. ↑ CoCalc and SageMath in service of Ximera
  18. ↑ 18.0 18.1 18.2 18.3 Six easy ways to run your Jupyter Notebook in the cloud

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LEMMA': 'cocalc'}]
  • [{'LEMMA': 'SageMathCloud'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=CoCalc&oldid=51477"