What is the advantage of Python over Java for big data analysis/machine learning?

Question

Python

Most data science tutorials use Python or R, but I would like to use Java for big data analysis/machine learning because there are a lot more jobs for java and the possibility of mobile development. There is a desire to learn java and there is an idea to make an analytical service with the processing of a large number of sites (parsing) and a huge amount of numerical data (data will be classified and ranked, and the system will predict ranks for the future). Of course, I roughly explained my task, but still, what will be the problem if I use java for this? Speed ​​is not critical.

Answer 1

If the soul lies in Java and the cards in hand, especially since it will be faster than a python.
The advantage of python is its simplicity and conciseness. Java is just fucking verbose.

Answer 2

I would definitely look towards Scala - inside the same JVM, it is also possible to write for Hadoop (there are even libraries - Scalding, for example), but the code is much more concise, and often even more expressive than in Python

Answer 3

Python is easier. You can write an algorithm faster than in another language.
It is also possible in Java. Many programs for data analysis are written in Java - for example, software from IBM.

Answer 4

Because under Python there is SciPy