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:
|
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:
|
Syntax | Syntactically in Java, we have to write a lot.
Ex: A semicolon is a must to end a line.
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.
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:
|
Due to simple syntax, code written in Python is usually 3-5 times shorter than its counterpart.
Ex:
|
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 |
|
|
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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