Data

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Open Source Science

https://github.com/ccs-zcu/corpus-corporum

https://github.com/ccs-zcu/corpus-corporum

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: CCS-ZCU
  • License: cc-by-sa-4.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 1.07 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed 9 months ago
Metadata Files
Readme License

README.md

Repository title

Authors

  • Vojtěch Kaše

License

CC-BY-SA 4.0, see attached License.md

Getting started

  • download or clone the repository * go to Terminal and move to that directory
  • run the following bash commands (modify the $VENVNAME variable value as you wish): ``` # check which python will be by default used as a source for your virtualenv # (otherwise specify manually when defining the INTERPRETER variable) which python3

 check that your pip is python 3 pip:

pip --version

install virtualenv package

pip install virtualenv

VENVNAME=venv # choose approapriate name for your virtual environment INTERPRETER=which python3 # or any other interpreter, e.g. $HOME/.local/lib/python-3.9.7/bin/python3 virtualenv $VENVNAME --python=$INTERPRETER

install anything in requirements.txt:

$VENVNAME/bin/python -m pip install -r requirements.txt

create jupyter kernel based on the environment:

$VENVNAME/bin/python -m ipykernel install --user --name=$VENVNAME

 create folder for large files:

mkdir data/large_files

check that it is included in your .gitignore file

echo "/$VENVNAME/ /data/large_files/" > .gitignore

```

  • subsequently, in all jupyter notebooks, always check that you are connected to the correct kernel
  • (alternatively, if you do not wish to use virtual environment, make sure that you have installed all required python packages within the requirements.txt file: pip install -r requiremnts.txt)

Scripts

The scripts are in the scripts subfolder and their numbers and titles should be self-explanatory. Usually, they have the form of Jupyter notebooks.

Owner

  • Name: CCS-Lab (Computing Culture & Society)
  • Login: CCS-ZCU
  • Kind: organization
  • Email: kase@kfi.zcu.cz
  • Location: Czech Republic

GitHub Events

Total
  • Push event: 4
Last Year
  • Push event: 4

Dependencies

requirements.txt pypi
  • gensim *
  • ipykernel *
  • jupyter *
  • matplotlib *
  • networkx *
  • nltk *
  • pandas *
  • scikit-learn *
  • sddk *
  • seaborn *
  • virtualenv *