The trick to optimization is to save time in the right places.
Optimization saves execution time. Unfortunately, optimizing lengthens development cycles. The optimized source code is typically more complex than the original code, which increases the time for testing and debugging. Adding complexity also makes the code more difficult to maintain. Because the optimization process takes time and adds complexity, it is best to avoid optimizing code while you are writing it. Before you start optimizing, start with a stable program. Once your program is stable and complete, you can look for ways to improve performance. In this article, I describe some strategies for optimizing Python programs.
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