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https://github.com/lamastex/jpautogradercomps

This is a repository for various components developed around semi/auto-grading a jupyter .ipynb notebook

https://github.com/lamastex/jpautogradercomps

Science Score: 13.0%

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Last synced: 4 months ago · JSON representation

Repository

This is a repository for various components developed around semi/auto-grading a jupyter .ipynb notebook

Basic Info
  • Host: GitHub
  • Owner: lamastex
  • License: unlicense
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 645 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 7 years ago · Last pushed almost 6 years ago
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Readme License

README.md

jpAutograderComps

looks like most of this is moved to datascience-in github repos. The autgradre parts still need to be absorbed from repos admin/uu/...AppliedStats2019... When that is done delte this repository...

This is a repository for various components developed around semi/auto-grading a jupyter .ipynb notebook

Pure Jupyter .ipynb Notebooks

The following two spteps for SageMath can be followed for a pure Python .ipynb notebook running in a jupyter notebook server.

SageMath .ipynb Jupyter Notebooks

This Dockerised environment for SageMath is part of the auto-grader component for an Applied Statistics Course.

Use the Makefile as follows:

Terminal 1: make build builds a new docker image from sagemath/sagemath.

make run runs the image so one can work with jupyter notebook by mounting the current directory.

Terminal 2: Also you may want to run a plain sageMathbash docker to work in a pure sage bash environment. For this do:

  • make runSageMathBash to get into another docker container
  • python makeAllNotesFromMaster.py # to generate all the student versions of .ipynb and assignment ? notebooks into 2019/jp/ from those in master/jp/*.ipynb as specified in inputMasterNBNos list in makeAllNotesFromMaster.py

Owner

  • Name: Raazesh Sainudiin
  • Login: lamastex
  • Kind: user
  • Location: Uppsala, Sweden
  • Company: lamastex.org

I work at the interface of mathematics, computing and statistics. This inter-disciplinary research aims broadly to use computers to solve real-world problems.

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