Scripting languages, Python & R
People building quantitative models typically find it much faster to build them in Analytica than in scripting and programming languages like Python, R, C++, Julia, and so on. But sometimes they want to use special functions, statistical methods, available in Python or R libraries. Or they may want to link an Analytica model to an existing program.
Here are some examples explaining how you can use special functions available in scripting language libraries or link to an Analytica model from an existing program.
Is Analytica what Microsoft says will be the future of programming?
Norm Judah, Chief Technology Officer of Microsoft Services, recently talked about the future of programming: “When someone thinks of business...
An Analytica advantage over MATLAB
I’m working on a model translation project for the California Energy Commission, going from MATLAB to Analytica. The transportation system model I’m working...
Converting greenhouse gases into fish food
Methanotrophic bacteria may be able to both replace fishmeal and provide incentivize to capture potent greenhouse gases that are directly emitted into the atmosphere.
