This chapter will be the Part two of performance improvement. Just like the previous chapter, the performance of the Gold Hunt program will be improved in steps. We will start with a quick introduction to NumPy, just enough to use its functionality for optimization passes four and five, which follow next. Moving ahead, there will be a superficial introduction to the multiprocessing module. In optimization pass six, we will use this module to parallelize a portion of the application code. Let's pull up the same bar chart from the previous chapter. The last two bars indicate the speedup accomplished by the end of this chapter.
But the chart does not tell the full story. The optimization pass four, will significantly speedup the generate_random_points function of the Gold Hunt program. This speedup is not reflected in the chart as the function does not significantly contribute to the runtime in this scenario. Towards the end, the chapter will provide preliminary...
