Documenting code, one commit at a time.
Our work on the emma008boop/NT_SABADO2_migaja project recently reached an important milestone: the initial MVP. This post reflects on the process and lessons learned when defining and building the absolute core functionality, a 'crumb' of what the full application will become.
When we kicked off the migaja project, the goal was ambitious: deliver a minimum viable product
The Minimum Viable Product (MVP) is a double-edged sword. It champions speed and essential functionality, but often, the rush to deliver can inadvertently bake in technical debt that hinders future growth. For the NT_SABADO2_migaja project, reaching its recent MVP merge presented an opportunity to demonstrate how thoughtful architectural choices from day one can yield a robust, scalable
In any data-driven project, the quality of your input data directly impacts the reliability of your outputs. Recently, as part of a financial data analysis initiative, we tackled a common but critical challenge: cleaning an 'expenses' dataset. This process is fundamental to ensuring accurate reporting and robust analytical insights, laying the groundwork for more informed
In the realm of data-centric applications, the efficient integration of data from various sources is paramount. This post explores a streamlined approach to handling data integration, focusing on leveraging FastAPI for API development.
This feature centers on establishing a robust and flexible data pipeline. The core idea is to create a system that can:
