hsf-training-pytest-webpage

Learn to test your code with pytest!

https://github.com/hsf-training/hsf-training-pytest-webpage

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 (15.3%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Learn to test your code with pytest!

Basic Info
Statistics
  • Stars: 0
  • Watchers: 7
  • Forks: 1
  • Open Issues: 4
  • Releases: 0
Created almost 3 years ago · Last pushed 6 months ago
Metadata Files
Readme Contributing License Code of conduct Citation Authors

README.md

HSF Training Center Upcoming Events Twitter Follow

pre-commit.ci status pages-build-deployment

Unit testing with pytest

Note Click here for the training website!

Learn to test your code with pytest.

📅 Past events and videos

Emoji key: 🎥 (full video recordings availabile), ⛏️ (hackathon)

🤗 Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

If you make non-trivial changes (i.e., more than fixing a simple typo), you are eligible to be added to the HSF Training Community page, as well as to the list of contributors below.

We'd like to ask you to familiarize yourself with our Contribution Guide and have a look at the more detailed guidelines on proper formatting, ways to render the lesson locally, and even how to write new episodes.

Quick summary of how to get a local preview: Install jekyll and then run

bundle install bundle update bundle exec jekyll serve

Unless we change framework versions, only the last command needs to be typed after the first time.

Before committing anything, we also ask you to install the pre-commit hooks of this repository:

bash pip3 install pre-commit pre-commit install

Please see the current list of issues for ideas for contributing to this repository. For making your contribution, we use the GitHub flow, which is nicely explained in the chapter Contributing to a Project in Pro Git by Scott Chacon. Look for the tag good_first_issue, which marks particularly simple issues to get you started.

💖 Authors

Thanks goes to these wonderful people (emoji key) who contributed to the content of the lesson:

Even more people contributed to the framework, but they are too many to list! Instead, all regular contributors are listed on our HSF Training Community page.

Owner

  • Name: HEP Software Foundation Training Material
  • Login: hsf-training
  • Kind: organization
  • Email: hsf-coordination@googlegroups.com

Training and educational material for the high energy physics community.

Citation (CITATION)

cff-version: 1.2.0
message: "Please cite the following works when using this software."
type: software
title: "Matplotlib for HEP"
abstract: "A training module that introduces Matplotlib and commonly used plots in HEP."
authors:
- family-names: "Oan Evans"
  given-names: "Meirin"
  orcid: "https://orcid.org/0000-0002-4259-018X"
  affiliation: "University of Sussex"
- family-names: "García Hernández"
  given-names: "Marcela"
  orcid: "https://orcid.org/0000-0003-2393-3367"
  affiliation: "Center for Research and Advanced Studies of the National Polytechnic Institute"
- family-names: "Antonio Fidalgo-Rodríguez"
  given-names: "Guillermo"
  orcid: "https://orcid.org/0000-0001-8605-9772"
  affiliation: "University of Puerto Rico, Mayagüez Campus"
- family-names: "Moreno Briceño"
  given-names: "Alexander"
  orcid: "https://orcid.org/0000-0001-8415-2543"
  affiliation: "Universidad Antonio Nariño"
repository-code: "https://github.com/hsf-training/hsf-training-matplotlib"
url: "https://hsf-training.github.io/hsf-training-matplotlib/"
keywords:
  - hep
  - matplotlib
  - python
  - training
license: "CC-BY-4.0"

GitHub Events

Total
  • Push event: 3
  • Pull request event: 1
Last Year
  • Push event: 3
  • Pull request event: 1

Dependencies

.github/workflows/check-links.yaml actions
  • actions/checkout master composite
  • gaurav-nelson/github-action-markdown-link-check v1 composite
.github/workflows/labeler.yml actions
  • actions/checkout v3 composite
  • crazy-max/ghaction-github-labeler v4 composite
Gemfile rubygems
  • github-pages >= 0 development
  • hsf-training-theme >= 0
  • rake >= 0
  • webrick >= 1.6.1