Testing and Performance Optimization in Python focuses on writing reliable, efficient, and maintainable applications. Learners explore unit testing, integration testing, test automation, debugging, code coverage, profiling, and performance
Python full Stack course in Kerala measurement. The topic also covers optimizing algorithms, reducing execution time, improving memory usage, and using Python tools and best practices to identify bottlenecks and enhance application speed, stability, and overall performance.
