Getting started

Welcome to Plums ! If you are here, it is probably because you work in the field of machine learning, more specifically on aerial imagery with a strong geo-spatial bias, and you are tired of re-inventing the wheel every time you start a new data science project or you would like for your team to work on a common ground so that sharing code and working with other people is actually an asset and not a hassle. Well in that case, welcome to Plums.

What is Plums ?

Plums stands for the PLayground Unified Microlib Set, and it is a set of geo-spatial oriented data science Python packages originally built around the Intelligence Playground to make the lives of data-scientists easier. But even more so Plums aims to be more of an development and team environment, and is built as a collection of semi-independent packages built on a common data-model.

Installation

Those packages puropose is to set a unique baseline to help make the code base more unified and avoid countless reimplementation of the same tools which in turns make people waste time and make the code base herd to understand, debug and reuse.

Installation is simple with PyPI repository:

pip install plums

What’s next ?

The base library Quickstart offers a quick glance at the Plums data-model and coding philosophy and is a good start for new Plums users.