C++ vs. R vs. Dart

Core linear algebra and optimization functionality for deep analytics and machine learning

The most latency sensitive parts are written in C++. Due to our interconnected services architecture, we use either Python or C++ for each service, with the performance critical parts being C++14.

Our online judge, 'Evaluator', is written in it.

legacy part

The Game Pencil Engine Editor is coded in C/C++.

Used in backend and clients for performance heavy tasks.

Performance, zero-overhead abstractions and memory safety of the modern C++ language make this the perfect language for the project.

High performance

The main programming language of ApertusVR. C++11 & CMake provides multi-platform targeting. The architecture is modular.

Used to write PHP extensions - AZTEC Decoder - License Driver scan - Axis2/C to PHP wrapper and Job-scheduler - Barbershop

std::cout << "Hello World!" << std::endl;

C++ is used in Shiro (https://github.com/Marc3842h/shiro).

C++ is a high performance, low level programming language. Game servers need to run with fast performance to be able to reliably serve players across the globe.

Offline deep analytics and modeling

Connect to database, data analytics, draw diagram. Machine Learning application, and also used Spark-R for big data processing.

What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.

R is primarily used by SESYNC's researchers

Visualisation of air quality in various rooms by RShiny (hosted free on shinyapps.io)

I will use Dart later to handle the payloads from Roblox and all API requests.