Turbocharge your functional tests with LocalStack for AWS
A deep dive into functional testing for AWS development Introduction In our exploration of advanced testing techniques for AWS development, we’ve delved into powerful tools like moto for unit testing and pytest.mark.parametrize for enhancing test coverage and efficiency. Building on this foundation, we turn our focus to a pivotal tool that bridges the gap between […]
Advanced Unit Testing in AWS
Leveraging Moto and Pytest Introduction In the world of AWS development, ensuring the reliability, efficiency, and correctness of your cloud-based applications is paramount. As cloud solutions grow increasingly complex, so too does the challenge of effectively testing these systems. Traditional testing methods often fall short in the face of AWS’s vast and intricately interconnected services. […]
Reliability by design: Implementing Test Driven Development Strategies in Python Data Engineering
Introduction In the rapidly evolving field of data engineering, maintaining high-quality, reliable, and efficient data pipelines is crucial for businesses to make informed decisions and stay competitive. One methodology that has been instrumental in achieving these objectives is Test-Driven Development (TDD). At its core, TDD involves a simple, yet powerful cycle: write a failing test […]
Green with Envy: Improving Python Performance with a Sprinkling of Feature Envy
Python Performance: Issue 2 – Feature Envy Previous Issue Recap In the previous issue we discussed the differences between the “Clean Code” version of calculating the cumulative area of a collection of shapes and “the old fashioned way”. Robert Martin, aka “Uncle Bob”, advocates for a “clean” polymorphic approach to the problem, where each shape […]
Clean Code’s Hidden Impact: Unraveling the Python Performance Paradox
Python Performance: Issue 1 – The Polymorphism Rule Welcome to Python Performance Welcome to the Python Performance blog series. In this series, I will be exploring various performance topics in Python, with the aim to create a list of heuristics to help developers write more performant Python code before they ever start thinking about reaching […]
DBT and Databricks Part 1: Setting up DBT profile for connecting to Azure Databricks using…
This series of blog posts will illustrate how to use DBT with Azure Databricks: set up a connection profile, work with python models, and copy noSQL data into Databricks(from MongoDB). In the first part, we will talk about how to set up a profile when using dbt-databricks python package. Install python package dbt-databricks using pip […]