We are actively seeking pull requests which update packages already included in the project Dockerfiles. This is a great way for first-time contributors to participate in developing docker-stacks.
We actively seek pull requests which update packages already included in the project Dockerfiles. This is a great way for first-time contributors to participate in developing the Jupyter Docker Stacks.
Please follow the process below to update a package version:
Please follow the process below to update a package version:
1. Locate the Dockerfile containing the library you wish to update (e.g., [base-notebook/Dockerfile](https://github.com/jupyter/docker-stacks/blob/master/base-notebook/Dockerfile), [scipy-notebook/Dockerfile](https://github.com/jupyter/docker-stacks/blob/master/scipy-notebook/Dockerfile))
1. Locate the Dockerfile containing the library you wish to update (e.g., [base-notebook/Dockerfile](https://github.com/jupyter/docker-stacks/blob/master/base-notebook/Dockerfile), [scipy-notebook/Dockerfile](https://github.com/jupyter/docker-stacks/blob/master/scipy-notebook/Dockerfile))
2. Adjust the version number for the package. We prefer to pin the major and minor version number of packages so as to minimize rebuild side-effects when users submit pull requests (PRs). For example, you'll find the Jupyter Notebook package, `notebook`, installed using conda with `notebook=5.4.*`.
2. Adjust the version number for the package. We prefer to pin the major and minor version number of packages so as to minimize rebuild side-effects when users submit pull requests (PRs). For example, you'll find the Jupyter Notebook package, `notebook`, installed using conda with `notebook=5.4.*`.
3. Please build the image locally before submitting a pull request. Building the image locally shortens the debugging cycle by taking some load off [Travis CI](http://travis-ci.org/), which graciously provides free build services for open source projects like this one. If you use `make`, call:
3.Please build the image locally before submitting a pull request. Building the image locally shortens the debugging cycle by taking some load off [Travis CI](http://travis-ci.org/), which graciously provides free build services for open source projects like this one. If you use `make`, call:
