Conda is a cross platform, package management system widely used in the scientific and data science Python communities. Conda can be used to package and distribute software written in any language but has first class support for Python packages. This talk will briefly cover how to use conda to install and manage data science packages as well as how conda can be used to create isolated computing environments. The main focus of the talk will be an in-depth look at how to easily and reproducibly create conda packages for your own Python software, and options for how to share these packages with others. Finally, combining a collection of conda packages into custom cross-platform installable conda-based Python distributions will be explored.