Testing and Performance Optimization in Python

test Python applications and improve their performance using effective testing and optimization techniques. This topic covers unit testing, integration testing, debugging, test automation, profiling, memory management, code optimization, and full stack training in calicut performance monitoring. Students gain practical experience identifying bottlenecks, improving execution speed, reducing resource usage, and building reliable, efficient Python applications through structured testing and optimization practices.