Solving Latin Squares as Constraint Satisfaction Problems using Backtracking Search with Heuristics
A Latin square is an n x n grid filled with n different symbols (commonly numbers 1 to n), each appearing exactly once in every row and every column.
Testing
Explicit is Better than Implicit - Part 2: Behaviors
“Explicit is better than implicit” is one of my favorite lines from the Zen of Python. In essence, this guiding principle encourages clarity in code by favor...
Code Coverage: Misusage and Proper Usage
TL;DRs Blindly aiming for high coverage can degrade test quality as developers may prioritize increasing coverage metrics over writing meaningful, effecti...
Preventing Flaky Tests and Brittle Tests
Flaky tests and brittle tests are two common pitfalls that make our tests unreliable and hard to maintain. In this post, I will illustrate these concepts wit...
Provision an Amazon EKS cluster with AWS CDK
Amazon EKS (Elastic Kubernetes Service) is a fully managed Kubernetes service that simplifies building, securing, operating, and maintaining Kubernetes clust...
Memory Profiling CPython Applications with Memray
Memory management in modern programming languages is well-abstracted away from programmers. We do not have direct control over how our programs allocate and ...
Property Based Testing with Hypothesis
What is Property Based Testing? Property based testing, which is known to be originated by QuickCheck, is a testing technique which randomly generates test c...
Consumer-Driven Contract Testing with Pact
Consumer-driven contract testing (or CDC for short) is a testing methodology that ensures that providers are compatible with the expectations that the consum...