How can I optimize performance in interpreted languages?
You can optimize performance in interpreted languages by using techniques like just-in-time compilation, optimizing algorithms, and minimizing memory usage.
What are some specific techniques for optimizing algorithms?
Some techniques include using efficient data structures, reducing time complexity, and employing caching strategies.
Are there any tools that can help with performance profiling?
Yes, tools like Py-Spy for Python, JProfiler for Java, and Node.js built-in profiler can help you analyze performance.
How does just-in-time compilation work?
Just-in-time compilation translates code into machine language at runtime, improving execution speed by optimizing frequently used code paths.
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