https://medium.com/@ernest.bonat/using-c-to-run-python-scripts-with-machine-learning-models-a82cff74b027

Python Data Ecosystem is the most popular package of libraries and frameworks for Data Science projects using Machine Learning (ML) algorithms today. It includes more than 1000+ developed libraries and frameworks. A huge Python international community from all around the world is constantly maintaining existing and developing new libraries and frameworks in Python programming language.

Being able to apply Machine Learning algorithms to business decisions is very important for companies today. When and how companies should apply Machine Learning algorithms based on their existing software and hardware infrastructure? Suppose you work for a company where the main programming language implementation could be C++, C#, Java or any other compiled language except Python or R. A simple question could be: Can any of these main programming languages solve all their Data Science needs? If not, what do you do in this case when the company wants to keep their main development language? I would like to propose a very simple solution for this very common problem. It is very simple because with a couple lines of C# code, for example, I can run any Python script file with any developed Machine Learning model. It will allow me to input/output any required model parameters in C# too.