Java Performance vs Python

Updated June 20, 2023

Differences Between Java Performance vs Python

Java is an Object-Oriented programming language. It is platform-independent. It is dynamically linked, allowing new code to be downloaded and run but not dynamically typed. Python is an interpreted language, and its reference implementation is written in C or C Python. Python supports procedural programming, modular programming, and some functional programming shots.

Java

It is platform-independent (because of JVM), and a compiled language is written in C++ (JVM provided by Oracle is also known as Hotspot). Oracle Java compiler is written in Java itself. Its execution model is more machine-centered rather than purely interpreted language. Java is more than a language and library; it also provides a virtual machine. So it can be called an ecosystem.

Python

Python is available on any platform, making it a portable option for general development.

Implementations of Python are also available with different languages like C#, and it offers close integration with the .NET runtime, popularly known as Iron Python. There are many others, like PyPy, Jython, etc.

These are some basic things about Java vs Python. In these sections, beginners may be curious about interpreted and compiled language, C Python, IronPython, and a few other terms used. So you may always explode out of these things from the web.

The scope of this document is Java Performance vs Python, which is explained in section B.

Head to Head Comparison of Java Performance vs Python (Infographics)

Below is the top 8 Comparison Between Java Performance vs Python:

Key Differences Between Java Performance and Python

Below is the list of points describing the difference between Java Performance and Python:

• Following are the key difference between Java performance and Python which we have to analyze and asses before deciding which language to go to.
• Java is a compiled language, whereas Python is an interpreted language, so execution speed becomes a factor.
• Due to its simplicity, codes written in Python are usually 3-5 times shorter than their counterpart, which is a significant factor when performance comes into the picture as the developer has to write fewer codes. Hence, development becomes easy and less time-consuming.
• Portability is also an important aspect when performance comes into the picture. As we have already learned, both Java performance vs Python languages are portable, but due to Java’s popularity, it wins.
• Database accessibility is an essential factor while analyzing performance. As we also know, the data access part of Python is weaker than Java’s JDBC, so in building an enterprise application where database access is more often, python is less productive.

Comparison Table Between Java Performance vs Python

Following is the Comparison Table Between Java Performance vs Python

Basis of Comparison	Java	Python
Language	Compiled: A compiled language is a programming language whose implementations are typically compilers (translators that generate machine code from source code) and not step-by-step executors of source code, where no pre-runtime translation occurs.	Interpreted: An interpreted language is a type of programming language for which most of its implementations execute instructions directly and freely without previously compiling a program into machine language instructions.
Declaration Type	Statically: It means one must declare the type while writing code. Ex: String str="abc";int i=0;	Dynamically: It means that there is no need to declare the type of the variable while writing code; it is assumed at runtime. This is also called Duck Typing. Ex: str="abc" i=0
Syntax	Syntactically in Java, we have to write a lot. Ex: A semicolon is a must to end a line. String str = "this is in Java"; For commenting out a line, we can use // or /**/ To define a method or block with multiple lines, it is necessary to put the lines inside curly brackets.	In Python, it is way easier to write code than in Java because of syntax. Ex: The semicolon is not required. str ="this is in python" For commenting outlines in Python, we can use #Python mandates indentation even for blocks with multiple lines.
Verbosity/Simplicity	Lines of code written in Java are usually lengthier than in Python Ex: class A{public static void main(String args[]) { System.out.print ln("this is in java")}}	Due to simple syntax, code written in Python is usually 3-5 times shorter than its counterpart. Ex: print("this is in python")
Portability	As we all know, Java is a portable language, and so does its counterpart, but due to its popularity, it wins the race when portability is a factor.	Python too is a portable language as Java is, but it is somehow less popular in comparison to its counterpart.
Database Access	Java has its own database access module, JDBC, which is very powerful, and with JDBC, it is possible to connect to almost every database available.	Python’s database access layer is weaker than Java’s JDBC, so it is less used in enterprise applications where critical database application exists.
Speed	Java is a compiled language, and so the compiler changes the source code to an intermediate binary form called JVM bytecode. So it is faster. Since the types are already declared, the compiler/interpreter does not need to do the extra work. Java’s speed can often rival its counterpart because of the JIT compiler, provided by default Oracle JVM.	One of the reasons behind its slow speed is that the type is assumed at runtime, so the interpreter has to do extra work. The other implementation, like PyPy, is fine-tuned for performance; Jython, interpreted in JVM, has the same performance as Java.
Version	Upgrading to a new version in Java is easy. Like if some code is in Java version 7 and you like to upgrade it to Java version 8, you can do so without any hassle.	But in Python, it’s really a challenging task to switch from Python 2. x to Python 3.x.

Conclusion

Java performance vs Python is both in it for the long haul. Under the above circumstances, we can say that both Java performance vs Python languages has their own benefits. Opting for Java or Python is based upon the choice of the developer and the business requirement.

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