Among available programming languages to choose between OOPs approach and scripting, less lines of code, platform independent and flexible language, and easy to learn.Python is developer’s choice when compared with other technologies and OOPs languages because of inbuilt libraries availability, for example, Numpy for scientific computation, Scipy for advanced figuring out/calculating and Pybrain for machine learning, making Python one of the best languages for AI.
For AI, Python leads with more than 50% votes among developers, over popular language like C++. That is because Python is easy to learn and put into use and availability of many libraries used for data analysis.
Python vs C++ for AI:
Python is winner over C++ especially among new developers because C++ being a lower-level language needs/demands more experience and skill to master.
Performance of C++ is better than Python. This is because C++ has the advantage of being a statically typed language and that’s the reason for there are no type related errors during runtime. C++ also creates more compact and faster runtime code. However, Python is a simple (the set of rules for forming language) language which is faster for development when compared to C++ because it is more natural to (intelligent/obvious) ETL (Extract, Transform, Load) process, and allows developers to test machine learning sets of computer instructions without having to put into use them quickly.
Python vs Java for AI:
The two languages are also written differently. A structure in Java is enclosed in braces. Python uses dent to (do/complete) the same tasks.
Java is also performance wise slower, and for developing high-end computer programs in AI, Python is more preferred by developers.
Java is a compiled language whereas Python is an interpreted language.
Conclusion:
AI needs a lot of research, and because of this we can’t rely on 500 KB commonly used Java code to test a new educated guess which will never finish the project. In Python, almost every idea can be quickly validated through less code. Therefore, it is a pretty useful language for the benefit of AI.
Author: Nandini N – Software Engineer– Test automation framework developer and technology enthusiast at GRhombus.
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