Explain the concept of code profiling for CPU usage and its importance in code optimisation.

Code profiling is the process of analyzing and measuring the performance of a program to identify areas that consume excessive CPU resources. It involves collecting data on the execution time and frequency of different parts of the code, allowing developers to identify bottlenecks and areas of inefficiency.

The importance of code profiling in code optimization cannot be overstated. It provides valuable insights into how a program utilizes CPU resources, enabling developers to make informed decisions on where to focus their optimization efforts. By identifying the specific sections of code that consume the most CPU time, developers can prioritize their optimization efforts and allocate resources effectively.

Code profiling helps in identifying performance bottlenecks, which are sections of code that significantly impact the overall performance of the program. By pinpointing these bottlenecks, developers can then apply optimization techniques to improve the efficiency of the code. This may involve rewriting certain sections of code, using more efficient algorithms or data structures, or optimizing resource usage.

Furthermore, code profiling allows developers to measure the impact of their optimization efforts. By comparing the performance metrics before and after optimization, developers can determine the effectiveness of their changes and make further adjustments if necessary. This iterative process of profiling, optimizing, and measuring ensures that the code is continuously improved and optimized for better CPU usage.

In summary, code profiling is crucial for code optimization as it helps identify performance bottlenecks, prioritize optimization efforts, and measure the impact of optimizations. By utilizing code profiling techniques, developers can significantly improve the efficiency and performance of their programs, leading to better CPU usage and overall code optimization.