**Big data learn java or python? **
Big data development requires both learning Python and Java.
To learn big data development, java language is the foundation, mainstream big data software is basically implemented by java, so java is a must.
Python is also an important tool for crawling data, and it is also necessary to learn about the follow-up improvement of big data.
Introduction to Python:
Python is an object-oriented, interpreted computer language. It is characterized by a brief syntax, elegant, and easy to learn. It was born in 1989 and developed by Guido (Uncle Turtle).
Compiled language: After the code is compiled, it is compiled into a binary file, and then the computer can be run. (C, C++, C#)
Interpreted language: It is compiled at runtime. (Python, php, shell, ruby, js, java)
Script language: Refers to this language has only a single function. (Shell, js)
Knowledge point expansion:
Big data is currently a popular technology language on the Internet. There are many programming languages that deal with big data, such as java, python, go, R language, Hadoop, etc., and every programming language can handle big data. , It’s just that the scale of processing is different, but now the more popular data processing programming languages are java and python.
When it comes to java programming, java engineers have always been high-paying jobs in their peers, and python started to explode from artificial intelligence in 2016, so that it can catch up with java in just two years. With the development of python, the biggest winner is undoubtedly python. How important is big data to a company in the future? Through the analysis of data, we can understand market demand, development direction, and position the company in the future, sort out the huge and irregular data information, and summarize the features available for query .
Since the popularity of python has surpassed that of java, the advantages of python in big data have been gradually recognized by people. However, as a mature programming language for more than 20 years, java has existed in big data processing for a long time, and it is still the favorite programming for programmers.
Java is still more inclined to software applications and website data in big data processing, including game data processing, especially financial service data processing, which has always been Java’s strengths; Python has many free scientific algorithm libraries, and its advantage lies in artificial intelligence big data processing. Of course, there are also using Python to process financial data in the bank's infrastructure. It can be said that java and python have their own advantages in big data processing.
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