Numba is a "just in time" (jit) compiler for python. It is designed to optimize floating point operations and loops which makes it ideal for scientific code. The simplest way to use it is to decorate you function as shown below, which instructs Numba to compile the function into fast machine code the first time it is called.
from numba import jit
@jit(nopython=True)
def dotproduct(v1, v2):
isum = 0.0
Sometimes you have a project with different services (or microservices) and each one of them has its own repository. At those cases, tests the whole project (and its interactions) can be challenging.
With Docker and Docker Compose you can run easily each service from its repo, but for making them to see each other you (usually) need to manually create a network with Docker, assume so facts (as directories names) or do some crazy network configurations.
You have the final configuration here.