While this is probably beyond the scope of this article, one useful addition for those that need to create packages frequently would be to look into using cookiecutter. It lets you create a "package template". While these templates can be simple, they can also include support for many dev tools such as docker, travis-ci, sphinx, doctests (via pytest/nose/etc), etc.
Once the cookiecutter template is ready, you run a quick wizard and it generates the project directory/files for you. There are also a bunch of templates already available, some of which are specialized for specific tasks (such as data analysis).
Nice article!
While this is probably beyond the scope of this article, one useful addition for those that need to create packages frequently would be to look into using cookiecutter. It lets you create a "package template". While these templates can be simple, they can also include support for many dev tools such as docker, travis-ci, sphinx, doctests (via pytest/nose/etc), etc.
Once the cookiecutter template is ready, you run a quick wizard and it generates the project directory/files for you. There are also a bunch of templates already available, some of which are specialized for specific tasks (such as data analysis).
For more info:
cookiecutter.readthedocs.io/en/lat...
github.com/audreyr/cookiecutter