Python combined with the NumPy library provides the user with a tool to write highly complex functions and analysis. As the size and complexity of code grow, the number of inefficiencies in the code base starts to creep in. Once the project is in its completion stages, developers should start focusing on the performance of the code and analyze the bottlenecks. Python provides many tools and libraries to create optimized and faster-performing code.
In this chapter, we will be looking at one such tool called Cython. Cython is a static compiler for Python and the language "Cython," which is particularly popular among developers working on scientific libraries/numerical computing. Many famous analytics libraries written in Python make intensive use of Cython (pandas, SciPy, scikit-learn, and so on).
The Cython programming language is a superset of Python and the user still enjoys all the functionalities and higher level constructs provided by Python the...