This talk is about the usage of Python for an industrial software project that aims to perform Image Processing on an automatized cover slip scanner platform in order to diagnose genetic diseases.
This five years experience demonstrates we could build an industrial software around Python and achieve the processing of big data, a digitised cover slip weights 80 GB of raw data, in no more than 10 min and to display such images in quasi real time.
The talk will give an overview and discuss the advantages and the actual shortcomings of Python for such a project:
Moreover the talk will address these topics:
The Python ecosystem used by this project is: