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Whatever you using code , it’s hard not to worry about the optimization problem. Just as many people go from just driving a car every day to fascinated by the underlying car mechanics, software engineers often start looking for faster ways to fix problems.
Creating software that is lightweight, effective and efficient is not only a great way to approach design, it is also an intriguing question of engineering and computer science.
Since two of the most popular programming languages ‚Äã‚Äãtoday are Python and JavaScript, we’ll move on to the question of which one is faster for different tasks.
How fast is Python ?
Python is a lightweight, flexible language that tends to be "fast enough" for almost anything. While not designed to run as quickly as possible, it tends to make developers more efficient so projects run fast.
Python is comparable to languages ‚Äã‚Äãinterpreted as Ruby in terms of execution speed. One of the reasons it’s not as fast as it could be is due to the limitations of some of the underlying technologies. Java compiles down to bytecode that runs on a Java virtual machine, which makes it fast. Python goes through several layers of high-level translation before eventually becoming code that the hardware understands. It slows him down. It’s not impossible for major Python developers to fix some of these issues and build a faster version of Python, and indeed, there are plans to do just that in the works.
