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Basic Knowledge
Master Python testing frameworks with proven strategies used by top development teams. Learn practical approaches to implementing unittest, pytest, and doctest to create more reliable, maintainable code.
Basic Knowledge
Software teams often debate the right mix of testing types for their projects. While the classic testing pyramid suggests focusing heavily on unit tests (70%), moderately on integration tests (20%), and lightly on end-to-end tests (10%), real-world applications demand a more flexible approach. Let's explore how to build
Basic Knowledge
When integrating changes between branches in Git, teams have two main options: merging and rebasing. While both achieve the goal of combining code changes, they work quite differently and shape your project's history in distinct ways. Let's explore how each approach works and when to use
Basic Knowledge
Test-driven development (TDD) represents a powerful shift in software development practices. At its core, TDD follows a simple but effective pattern called "red, green, refactor" that helps developers build reliable code. The process starts by writing a failing test (red) for a specific feature you want to build.
Basic Knowledge
A continuous integration server acts as a watchful guardian of your code. Just like a diligent assistant, it monitors your code repository around the clock, springing into action whenever developers make changes. Each time someone commits new code, the CI server pulls the latest version and runs predefined checks and
Basic Knowledge
Code reviews play a vital role in creating high-quality software and building strong engineering teams. Research shows they can reduce bugs by up to 36% when done well, as demonstrated by studies at companies like Cisco Systems. Beyond just finding issues, good code reviews help teams learn from each other
Technical
Why Traditional Testing Approaches Are Falling Short Software testing has changed dramatically in recent years. While manual testing was once enough to ensure quality, the speed and complexity of modern applications have exposed its limitations. Teams that rely solely on manual testing now struggle to keep pace with faster release