Performance Boost in Python: Empowering Your Scripts with Numba’s JIT Compiler

In the dynamic world of Python scripting, efficiency is key. Today, let’s delve into the transformative realm of parallelization using Numba’s JIT (Just-In-Time) compiler. Brace yourselves as we explore how this powerful tool not only compiles your code on the fly but also paves the way for parallel execution. Join us on a journey to harness the full potential of your Python scripts through the magic of Numba’s parallelization capabilities.

Map Coloring Problem

This is a similar post as the one on Graph Coloring. However, this in this post I show an application of the graph coloring problem, allowing us to answer practical questions using graph theory. In this post we’ll first tackle a map coloring problem manually, then we’ll use a MiniZinc constraint programming script to validate the solution found.

Solving a TSP with Linear Programming and Google OR-Tools in Python

In this post I show you how to solve the TSP problem using integer linear programming and Google OR-Tools for mathmatical modelling in Python. If you’re not yet familiar to the TSP and want to dig deeper, find out more here. It is one of the oldest and best explored problems in the field of… Read more Solving a TSP with Linear Programming and Google OR-Tools in Python