Giter Club home page Giter Club logo

testing-carp-template's Introduction

The test of Carpentries Workbench Template Markdown Lesson

This lesson is a template lesson that uses The Carpentries Workbench.

Note about lesson life cycle stage

Although the config.yaml states the life cycle stage as pre-alpha, the template is stable and ready to use. The life cycle stage is preset to "pre-alpha" as this setting is appropriate for new lessons initialised using the template.

Create a new repository from this template

To use this template to start a new lesson repository, make sure you're logged into Github.
Visit https://github.com/carpentries/workbench-template-md/generate and follow the instructions. Checking the 'Include all branches' option will save some time waiting for the first website build when your new repository is initialised.

If you have any questions, contact @tobyhodges

Configure a new lesson

Follow the steps below to complete the initial configuration of a new lesson repository built from this template:

  1. Make sure GitHub Pages is activated: navigate to Settings, select Pages from the left sidebar, and make sure that gh-pages is selected as the branch to build from. If no gh-pages branch is available, check Actions to see if the first website build workflows are still running. The branch should become available when those have completed.
  2. Adjust the config.yaml file: this file contains global parameters for your lesson site. Individual fields within the file are documented with comments (beginning with #) At minimum, you should adjust all the fields marked 'FIXME':
    • title
    • created
    • keywords
    • life_cycle (the default, pre-alpha, is the appropriate for brand new lessons)
    • contact
  3. Annotate the repository with site URL and topic tags: navigate back to the repository landing page and click on the gear wheel/cog icon (similar to โš™๏ธ) at the top-right of the About box. Check the "Use your GitHub Pages website" option, and add some keywords and other annotations to describe your lesson in the Topics field. At minimum, these should include:
    • lesson
    • the life cycle of the lesson (e.g. pre-alpha)
    • the human language the lesson is written in (e.g. deutsch)
  4. Adjust the CODE_OF_CONDUCT.md, CONTRIBUTING.md, and LICENSE.md files as appropriate for your project.
    • CODE_OF_CONDUCT.md: if you are using this template for a project outside The Carpentries, you should adjust this file to describe who should be contacted with Code of Conduct reports, and how those reports will be handled.
    • CONTRIBUTING.md: depending on the current state and maturity of your project, the contents of the template Contributing Guide may not be appropriate. You should adjust the file to help guide contributors on how best to get involved and make an impact on your lesson.
    • LICENSE.md: in line with the terms of the CC-BY license, you should ensure that the copyright information provided in the license file is accurate for your project.
  5. Update this README with relevant information about your lesson and delete this section.

testing-carp-template's People

Contributors

tzielins avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.