eupac_shared

"Getting started" repo for all EuPaC hackathon participants

https://github.com/ccs-zcu/eupac_shared

Science Score: 44.0%

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

  • CITATION.cff file
    Found 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 (5.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

"Getting started" repo for all EuPaC hackathon participants

Basic Info
  • Host: GitHub
  • Owner: CCS-ZCU
  • License: cc-by-sa-4.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Size: 5.29 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 11 months ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

EuPaC - basic info


Authors

  • EuPaC hackathon organizing team

License

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


Description

This repository serves as a starting point for all participants of the EuPaC Hackathon. It provides basic instructions for accessing and working with the individual datasets offered during the event.

Getting started

1.  Open any of the *_getting-started.ipynb Jupyter notebooks corresponding to a dataset you’re interested in.
2.  Use Google Colaboratory (or another Jupyter-compatible environment) to open and run the notebook directly in your browser.
3.  Begin exploring the data!

If you’re familiar with Git and GitHub, you’re welcome to clone the entire repository and use it as a foundation for your project.

Owner

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

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
references:
  - type: "software"
authors: 
  affiliation: ""
      family-names: ""
      given-names: ""
      orcid: ""-
license: cc-by-nc-4.0
repository-code: ""
title: ""
version:
doi: 
date-released: 2023-04-27
abstract: ""
keywords:
  - ""

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Dependencies

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