Conda - meta.yaml

1 - About

The file meta.yaml contains all the metadata of the build recipe.

Only the package name and package version sections are required—everything else is optional.

3 - Sample

https://conda.io/docs/_downloads/meta.yaml


package:
  name: rodeo
  version: "0.4.4"

source:
  fn: rodeo-0.4.4.tar.gz
  url: https://pypi.python.org/packages/source/r/rodeo/rodeo-0.4.4.tar.gz
  md5: cbd93b992b508eb6f0915214b3201661
#  patches:
   # List any patch files here
   # - fix.patch

build:
  # noarch_python: True
  # preserve_egg_dir: True
  entry_points:
    # Put any entry points (scripts to be generated automatically) here. The
    # syntax is module:function.  For example
    #
    # - rodeo = rodeo:main
    #
    # Would create an entry point called rodeo that calls rodeo.main()

    - rodeo = rodeo.cli:cmd

  # If this is a new build for the same version, increment the build
  # number. If you do not include this key, it defaults to 0.
  # number: 1

requirements:
  build:
    - python
    - setuptools
    - jupyter
    - flask >=0.10.1
    - docopt
    - pyzmq >=13
    - mistune

  run:
    - python
    - jupyter
    - flask >=0.10.1
    - docopt
    - pyzmq >=13
    - mistune

test:
  # Python imports
  imports:
    - rodeo

  commands:
    # You can put test commands to be run here.  Use this to test that the
    # entry points work.

    - rodeo --help

  # You can also put a file called run_test.py in the recipe that will be run
  # at test time.

  # requires:
    # Put any additional test requirements here.  For example
    # - nose
app:
  entry: rodeo .                              [not osx]
  entry: open ${PREFIX}/bin/rodeo_mac.command [osx]
  icon: logo.png
  summary: Rodeo Data Science IDE
  type: web

about:
  home: http://rodeo.yhat.com/
  license: BSD
  summary: 'A web-based environment for interactive Data Science'
  description: |
    Rodeo is an IDE that was built expressly for doing data science in Python.
    Think of it as a light weight alternative to the IPython Notebook.
  doc_url: http://rodeo.yhat.com/docs/
  dev_url: https://github.com/yhat/rodeo

# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml

4 - Documentation / Reference


Data Science
Data Analysis
Statistics
Data Science
Linear Algebra Mathematics
Trigonometry

Powered by ComboStrap