It is suitable for deep learning on limited computational resource, embedded systems and IoT devices. Check out the documentation for more info. All you need is a C 14 compiler (gcc 4.9, clang 3.6 or VS 2015). Then change to examples directory and run executable files. No pre-installation required, it's automatically downloaded during CMake configuration.

I guess it depends on what kind of project you are doing, but for something like scientific computing the issue is development time, not compile time. Integrating and using code is one of the main bottlenecks. Headers make this really easy. If you do scientific computing and need to use C, then you are probably doing a process or memory demanding task where compile time is non-existent in comparison.