/ipykernel-feedstock

A conda-smithy repository for ipykernel.

Primary LanguagePythonBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

About ipykernel

Home: http://ipython.org

Package license: BSD 3-clause

Feedstock license: BSD 3-Clause

Summary: IPython Kernel for Jupyter

Installing ipykernel

Installing ipykernel from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, ipykernel can be installed with:

conda install ipykernel

It is possible to list all of the versions of ipykernel available on your platform with:

conda search ipykernel --channel conda-forge

About conda-forge

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by CircleCI, AppVeyor and TravisCI it is possible to build and upload installable packages to the conda-forge Anaconda-Cloud channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to regenerate all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy regenerate.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Current build status

Linux: Circle CI OSX: TravisCI Windows: AppVeyor

Current release info

Version: Anaconda-Server Badge Downloads: Anaconda-Server Badge

Updating ipykernel-feedstock

If you would like to improve the ipykernel recipe, please take the normal route of forking this repository and submitting a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon they will be available for everybody to install and use.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.