Home » Python » Python vs Java: The Most Important Differences

About Bhagvan Kommadi

Bhagvan Kommadi
Bhagvan Kommadi is the Founder of Architect Corner & has around 19 years experience in the industry, ranging from large scale enterprise development to helping incubate software product start-ups. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993). He is member of IFX forum,Oracle JCP and participant in Java Community Process. He founded Quantica Computacao, the first quantum computing startup in India. Markets and Markets have positioned Quantica Computacao in ‘Emerging Companies’ section of Quantum Computing quadrants. Bhagvan has engineered and developed simulators and tools in the area of quantum technology using IBM Q, Microsoft Q# and Google QScript.

Python vs Java: The Most Important Differences

In this post, we feature a comprehensive article about Python vs Java and their most important differences. Java is an object-oriented programming language. Python is a multi-paradigm programming language. Python and Java are platform independent languages. In this tutorial, we see the features of Python and Java to see the differences.

1. Overview

We look at the comparison of Python vs Java languages in this article. They can be used for developing software and executing the code. Python is a programming language that has dynamic types. Python started off in a research firm based at Netherlands. The goal of this language was to reduce the gap between the shell commands syntax and C. The motivation of the language comes from different languages such as Algol68, Pascal and ABC. Java code is converted into bytecode after compilation. The java interpreter runs the bytecode and the output is created.

Below is a quote about Python’s popularity:

  “I’ve seen quite a rise in Python in the past years. As others have stated, I think this is largely due to data science, teaching it schools/universities, and lighter frameworks like Flask (vs Django). I don’t have anything against Python (I actually enjoy writing it), but I think it’s popularity does not represent usage for enterprise use cases. I rarely see large, distributed, enterprise applications written in Python that stay in Python. They may start out in Python, but they eventually switch to something else because of performance.

Dustin Schultz: Lead Software Engineer, Pluralsight Author, and technology evangelist

Below is a quote about Java Virtual Machine:

Most of the fans of the language seem to like it because it’s the “new shiny,” and/or they have Java Allergy (usually based on a view of the platform that’s >10 years out of date), but … I haven’t seen anything compelling in it that couldn’t also be done fairly easily in JVM tech (albeit with potentially a bit more ceremony) — and the JVM has much better, broader integrations with libraries.
 

Ben Evans Principal Engineer and JVM Technologies Architect at New Relic, Inc
Python vs Java
Python vs Java

2. Python vs Java

2.1 Prerequisites

Python 3.6.8 is required on the windows or any operating system. Pycharm is needed for python programming.Java 8 is required on the linux, windows or mac operating system. Eclipse Oxygen can be used for this example.

2.2 Download

Python 3.6.8 can be downloaded from the website. Pycharm is available at this link. You can download Java 8 from the Oracle web site . Eclipse Oxygen can be downloaded from the eclipse web site.

2.3 Setup

2.3.1 Python Setup

To install python, the download package or executable needs to be executed.

2.3.2 Java Setup

Below is the setup commands required for the Java Environment.

Setup
JAVA_HOME="/desktop/jdk1.8.0_73"
export JAVA_HOME
PATH=$JAVA_HOME/bin:$PATH
export PATH

2.4 IDE

2.4.1 Pycharm Setup

Pycharm package or installable needs to be executed to install Pycharm.

2.4.2 Eclipse Oxygen Setup

The ‘eclipse-java-oxygen-2-macosx-cocoa-x86_64.tar’ can be downloaded from the eclipse website. The tar file is opened by double click. The tar file is unzipped by using the archive utility. After unzipping, you will find the eclipse icon in the folder. You can move the eclipse icon from the folder to applications by dragging the icon.

2.5 Launching IDE

2.5.1 Pycharm

Launch the Pycharm and start creating a pure python project named HelloWorld. The screen shows the project creation.

Python vs Java - Pycharm Create project
Pycharm Create project

The project settings are set in the next screen as shown below.

Python vs Java - Pycharm Project Settings
Pycharm Project Settings

Pycharm welcome screen comes up shows the progress as indicated below.

Pycharm Project View

You can create a Hello.py and execute the python file by selecting the Run menu.

Pycharm Hello World

The output message “Hello World” is printed when the python file is Run.

Pycharm Python Execution

2.5.2 Eclipse Java

Eclipse has features related to language support, customization, and extension. You can click on the eclipse icon to launch eclipse. The eclipse screen pops up as shown in the screen shot below:

Python vs Java
Eclipse Welcome Screen

You can select the workspace from the screen which pops up. The attached image shows how it can be selected.

Python vs Java - IntelliJ vs Eclipse
Eclipse Workspace

You can see the eclipse workbench on the screen. The attached screen shot shows the Eclipse project screen.

Python vs Java - Eclipse Workbench
Eclipse Workbench

Java Hello World class prints the greetings. The screenshot below is added to show the class and execution on eclipse.

Python vs Java - Java Hello
Java Hello

2.6 Memory Management

Python language has reference counting and garbage collection features related to memory management. Java language has features related to memory management and it is a memory safe language. Garbage collection is a feature which helps in collecting the resources which are free and released. Developer in java cannot go beyond the allocated memory. In java, when the memory is consumed beyond the allocation, it throws an error.

2.7 Exceptional Handling

Python has try-except-else-finally statements for exception handling. In Java, exception handling is possible by using try, catch and finally blocks.

2.8 Multiple Inheritance

Multiple inheritance is supported in Python. Let us take an example to see how it is handled in Python and Java. Truck is an vehicle and a machine.

Python vs Java - Multiple Inheritance
Multiple Inheritance
Multiple Inheritance
class Vehicle:
    def __init__(self):
        self.velocity = 50
        
    def getVelocity():
        return self.velocity

class Machine:
    def __init__(self):
        self._distanceTravelled = 100
    def getDistance():
        return self.distanceTravelled

class Truck(Vehicle, Machine):
    def __init__(self, velocity,time):
        Vehicle.__init__(self)
        Machine.__init__(self)
        self.velocity = velocity
        self.time = time
        
    def getVelocity():
        return self.distanceTravelled/self.time
        
    def getDistance():
        return self.velocity * time

.Java does not support multiple inheritance. Each class is able to extend only on one class but is able to implement more than one interfaces. The sample code shows below Truck class implementing interfaces Machine and Vehicle

Interfaces
interface Machine
{
    int distanceTravelled=100;
    public int getDistance();
}
interface Vehicle
{
    
    int  velocity=50;
    public int getVelocity();
}
public class Truck implements Machine, Vehicle
{
    int time;
    int velocity;
    int distanceTravelled;
    
    
    public Truck(int velocity, int time)
    {
        this.velocity = velocity;
        this.time = time;
    }
    
    public int getDistance()
    {
        distanceTravelled= velocity*time; 
        System.out.println("Total Distance  is : "+distanceTravelled);
        return distanceTravelled;
    }
    public int getVelocity()
    {
        int velocity=distanceTravelled/time;
        System.out.println("Velocity  is : "+ velocity);
        return velocity;
    }
    public static void main(String args[])
    {
        Truck truck = new Truck(50,2);
        truck.getDistance();
        truck.getVelocity();
    }
}

2.9 Threads

Python has inbuilt threads which can be used. The example shown below has the features related to creating and starting new thread.

Threads
import logging
import threading
import time

def invokeSleep(name):
    logging.info("Thread is %s: starting", name)
    time.sleep(2)
    logging.info("Thread is %s: finishing", name)

if __name__ == "__main__":
    format = "%(asctime)s: %(message)s"
    logging.basicConfig(format=format, level=logging.INFO,
                        datefmt="%H:%M:%S")

    logging.info("creating thread")
    aThread = threading.Thread(target=invokeSleep, args=(1,))
    logging.info("before starting thread")
    aThread.start()
    logging.info("thread finishing")

Java has in built classes to create threads. To create a new thread, a class has to extend a Thread class and the run method has to be overridden.

Thread
public class NewThread extends Thread
{  
  public void run()
  {  
    System.out.println("Thread running now");  
  }
  
  public static void main(String args[])
  {  
    NewThread newThread =new NewThread();  
    newThread.start();  
  }  
} 

Java provides another way to create Threads. A class which implements Runnable can be instantiated and passed as a parameter to the Thread class. Sample code is provided below:

ThreadObject-Runnable
public class ThreadObject implements Runnable
{  
  public void run()
  {  
    System.out.println("ThreadObject running");  
  }  
  
public static void main(String args[])
{  
  ThreadObject threadObject =new ThreadObject();  
  Thread thread =new Thread(threadObject);  
  thread.start();  
 }  
}

2.10 Portability

Python Language is portable. The python compiler creates python bytecode which is executed using python virtual machine.

Python Portability

Java language is interpreted by the java interpreter on the computer independent of the operating system.

Java vs C++ - Java Portability
Java Portability

Python portability is not as popular as Java.

2.11 Types

Python compiler does type checking while the code gets intrepreted. In python, variable type can be modified during the life cycle. Duck typing is related to a concept where the definition of the method is more important than the object’s class or type.

Python Data Types

Java language has primitive and object types. Java has features related to autoboxing which converts the types automatically. The java.lang.Object class is the base class for all the classes and Java follows the single root chain of command.

Java vs C++ - Java Types
Java Types

2.12 Libraries

Python libraries consists of modules. Python modules have functions and methods.

Python Library

Java packages help in packaging classes. Package scope is another feature in Java language. Java archives help in grouping the package of classes for execution and installation purposes.

Java Archive

2.13 Runtime Errors

In python, runtime errors occur when RuntimeError is raised. When Illegal operations happen, exceptions are raised in python.

Python Runtime

In java, runtime errors are presented by the compiler and the interpreter.

Java Runtime Errors

2.14 Documentation

Python has pydoc module for generating documentation. Java has feature to support comments which can be used for documentation generator.

2.15 Mobile & Web & Desktop

Python language is used for web and desktop command line applications.Java language can be used for mobile, web and desktop application development. Java is supported by Android but python is not supported.

2.16 Programming Paradigm

Python supports object-oriented, functional, imperative, and procedural programming paradigms. Java is an object-oriented, class and concurrent programming language. Java is currently supporting functional programming features from version 8.

3. Conclusion

Overall, Java has great benefits over Python. The comparison table below captures the differences between Python and Java.

Comparison Table

FeaturePythonJava
Memory ManagementPython has two features related to memory management. They are reference counting and garbage collectionGarbage collection is a feature in Java.Pointers are not there in Java. Java programs consume more memory
InheritanceMultiple Inheritance is supported in PythonInterfaces can be used for multiple inheritance. Single Inheritance is supported in Java.
ThreadsPython has support for threads.Java has class Thread and interface Runnable to use threads.
PortabilityPython byte code is platform dependentJava byte code is platform dependent.
Access ControlPython has a concept of non public instance variables and properties .Encapsulation helps in access control of the class variables and properties in java.
TypesDynamic and Duck Typing is supported in PythonSingle root chain of command pattern is used in Java.
LibrariesPython libraries consists of modules. Module has functions and methods.Java archives are used for building java libraries.
Runtime errorPython raises exceptions when runtime errors occur. RuntimeError is raised for programmatic error handling.Runtime errors are detected in compilation and execution stages in Java
PerformancePython is slower than JavaJava performance is faster compared to python

The quote below from stack overflow summarizes the python vs Java popularity and adoption in developer community.

“Python, the fastest-growing major programming language, has risen in the ranks of programming languages in our survey yet again, edging out Java this year and standing as the second most loved language (behind Rust).” – StackOverflow 2019

4. Download the Source Code

Download
You can download the full source code of this example here: Python vs Java: The Most Important Differences
(+2 rating, 2 votes)
You need to be a registered member to rate this.
6 Comments Views Tweet it!
Do you want to know how to develop your skillset to become a Java Rockstar?
Subscribe to our newsletter to start Rocking right now!
To get you started we give you our best selling eBooks for FREE!
1. JPA Mini Book
2. JVM Troubleshooting Guide
3. JUnit Tutorial for Unit Testing
4. Java Annotations Tutorial
5. Java Interview Questions
6. Spring Interview Questions
7. Android UI Design
and many more ....
I agree to the Terms and Privacy Policy

6
Leave a Reply

avatar
3 Comment threads
3 Thread replies
0 Followers
 
Most reacted comment
Hottest comment thread
4 Comment authors
Johnathon McAlisterDonald TrummellBhagvan KommadiManamohan Panda Recent comment authors

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  Subscribe  
newest oldest most voted
Notify of
Manamohan Panda
Guest

I m mainly a Java’er :-) if that’s a word, though I use other languages including Python. It would be good to also cover local & remote debugging, security, memory footprint, etc capabilities & requirements

Donald Trummell
Guest

There were two technical issues I noticed: Java does support multiple inheritance using interfaces, and Python threading uses the Global Interpreter Lock (GIL), and so Python can’t take full advantage of multi-core processors.

Johnathon McAlister
Guest
John McAlister

I mainly use Java, but also use Python for my own scripting and log analysis, and disagree with some of the analysis here: 1 – Your diagram of Java and Python byte code indicates that both generate platform independent byte code that runs in a virtual machine – but your chart says that Python byte code is platform dependent. 2 – While both Python and Java support threads, the thread support in Python is limited by the Global Interpreter Lock (GIL), which prevents threads from running concurrently on separate processors. Java does not have this limitation, and can make use… Read more »