Non-python for machine learning/AI/neural networks/etc?

Question

Machine learning

I thought about trying myself in these areas, but a quick search on the Internet showed that Python is actively used for this. After getting acquainted with this language and solving several hundred helloworlds on it, I realized that it was not for me and I did not want to use it in my work. So, if so, then these areas are not for me, because I simply cannot find a job in them, developing neural networks in some other language?

Answer 1

Standing frameworks have an interface for almost any popular language.
Therefore, if you wish, you can use any language that you like best.
As a rule, compiled languages ​​are used to develop efficient code, and scripting languages ​​(such as python) are used to sketch a quick prototype, when efficiency is not important.
Python is simply simpler and is actively used abroad for simple training of non-programmers (economists, statisticians) in programming, and they, in turn, create a lot of research and teaching materials, which in turn is already popularizing the language.

Answer 2

Which client languages ​​are supported in TensorFlow?
TensorFlow is designed to support multiple client languages. Currently, the best-supported client language is Python. Experimental interfaces for executing and constructing graphs are also available for C++, Java and Go.
TensorFlow also has a C-based client API to help build support for more client languages. We invite contributions of new language bindings.
Bindings for various other languages ​​(such as C#, Julia, Ruby and Scala) created and supported by the open source community build on top of the C API supported by the TensorFlow maintainers.
Separately, there is the Swift for TensorFlow project, which integrates TensorFlow directly into the Swift programming language.