As one pushes further into more unique or more critical programming projects, the wealth of how-to information available online is astounding, but it will soon be realized that the searches evolve from how-to get this done to how-to get around this specific language (MATLAB, LabVIEW, etc.) limitation.
A quick search will quickly reveal that each industry has evolved their software libraries to operate efficiently within some high-level programming environment: Scientific Computing use MATLAB; Bench testing use LabVIEW; GUIs use the latest .NET environment; Web & server use Python, image processing use Halcon or OpenCV… The massive roadblock comes into view as you join a cross functional team and want to link any of these industries into a single project.
This is where the development almost invariably comes back to a low-level language like C++. The challenge is how to avoid dancing into and out of these high-level languages just to accomplish simple tasks. This is where this collection of code comes in, simple task functionality is not only provided but in most cases is much faster within certain contexts. This is achieved because the developer can choose to sacrifice memory efficiency to gain processing efficiency or GUI fluidity.