Testing Python applications is critical to ensuring they function as intended in real-world scenarios. Among the numerous testing frameworks available for Python, pytest stands out as a primary choice for many developers. Renowned for its straightforward yet powerful features, pytest makes writing and running tests efficient and effective. In this guide, we’ll explore how to get started with pytest, from installation to writing your first tests.

DevOps engineers play a vital role in modern software organizations, helping to bridge the gap between software development and IT operations. DevOps is a cultural and technical approach that emphasizes collaboration, automation, and continuous integration and delivery (CI/CD). DevOps engineers are responsible for implementing and supporting these practices to improve efficiency, enhance software quality, and accelerate delivery times.

How can your organization leverage continuous integration (CI) to manage your infrastructure at scale in a reliable, secure, and repeatable fashion? If you are maintaining multiple projects, the monorepo strategy can be a useful approach that allows for a unified build and CI process and makes it easier to enforce coding standards and organizational practices. It can also help DevOps and platform teams streamline dependency management to reduce conflicts and compatibility issues.

This article provides a basic overview of the structure, mechanisms, and benefits of Kubernetes for beginners.

In this article, you will learn about the development procedures, processes, structures, and team roles in Scrum, a type of Agile framework for software development.

In this article, you will learn all about middleware and the important role it plays in modern software architecture.

Machine learning operations (MLOps) has become the backbone of efficient artificial intelligence (AI) development. Blending ML with development and operations best practices, MLOps streamlines deploying ML models via continuous testing, updating, and monitoring. But as ML and AI use cases continue to expand, a need arises for specialized tools and best practices to handle the particular conditions of complex AI apps — like those using large language models (LLMs).

An IDE (integrated development environment) is software that combines all the functions needed for development in one place. Without an IDE, developers would need to use both a text editor to enter code and a separate compiler to make the program understandable to the computer. An IDE combines these features into one tool, making development more efficient.