Java Performance vs Python

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, known as 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 like machine-centered rather than purely interpreted language. Java is more than a language and libraries; it also provides a virtual machine. So it can be called an ecosystem.

Python

Python is available on any platform, which makes it a portable option for general development purposes.

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, a lot of curiosity may arise for beginners 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 Between Java Performance and Python (Infographics)

Below is the top 8 Comparison Between Java Performance and 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 taking a decision on which language we should go to.
• Java is a compiled language, whereas Python is an interpreted language, and due to this, execution speed becomes a factor.
• Due to its simplicity, codes are written in Python is usually 3-5 times shorter in length than their counterpart which is a big factor when the performance comes into the picture as the developer has to write fewer codes, so development becomes easy and less time-consuming.
• Portability is also an important aspect when the 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 import factor while analyzing performance. As we also know, the data access part of python is weaker than Java’s JDBC, so 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 between Java Performance vs Python	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 takes place.	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 that one has to 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 as 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 blocks 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 outline in python, we can use #Python mandates indentation even for blocks with multiple lines.
Verbosity/Simplicity	Lines of code written in Java is 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 is written in python are usually 3-5 times shorter than its counterpart. Ex: print(“this is in python”)
Portability	As we all know, Java is a portable language, so do 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 do 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.	Python is an interpreted language, and it is expected to run slower than its counterpart. One of the reasons behind its slow speed is that the type is assumed at runtime, so the interpreter has to do any 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 in Java version 7 and like to upgrade it to Java version 8, one can do so without any hassle.	But it Python, it’s really a challenging task to switch from Python 2.x to Python 3.x. Both versions are maintained in parallel

Conclusion

Java performance vs Python is both in it for the long haul. Java performance and Python are both suited for development, but the choice is dependent on many aspects, which once should analyze it before choosing. Under the above circumstances, we can say that both Java performance vs Python languages has its own benefits. Opting for Java or Python is based upon the choice of the developer and the business requirement.

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