![]() In Python, type checking happens at run time, and that tends to affect performance. You could fix the error then continue running the program, which is one of its good sides, but that also means some errors can only be discovered at runtime. That means that a code can run for some time, then stops running the moment it finds an error. The interpreter directly executes each line of code at runtime, one after the other. That makes is not that great to create simple programs to run from command line. Java tends to have a slower start-up speed. ![]() As a general rule, JIT languages tend to be faster than Interpreted languages. The JIT nature is different by the language, but it usually optimizes the parts of the code that runs often, which increases the performance. The Bytecode is compiled into a machine code at runtime with the Just-In-Time interpreter, also known as JIT. I totally wanted to add more languages to this comparison, but that will make this post way too long.Ĭ# & Java are compiled into a Bytecode, which is produced by the compiler. There are times where a language outside this comparison is better for the job, like in case of game development. Some of these languages is better than others in certain aspects, and sometimes you could still use the worse language and get around its limitation, while in some other times it’s better to go for another language. I will compare the 3 programming languages in many aspects, like performance, common applications for each language, scalability, performance, backward compatibility and more importantly, how easy to learn the languages, and many more. Artificial Intelligence & Machine Learning.Picking A Programming Language Based On The Type Of Application You Want To Develop.
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