{"id":99198,"date":"2019-10-21T10:00:46","date_gmt":"2019-10-21T07:00:46","guid":{"rendered":"http:\/\/www.javacodegeeks.com\/?p=99198"},"modified":"2022-07-07T15:18:20","modified_gmt":"2022-07-07T12:18:20","slug":"python-vs-java-the-most-important-differences","status":"publish","type":"post","link":"https:\/\/www.javacodegeeks.com\/python-vs-java.html","title":{"rendered":"Python vs Java: The Most Important Differences"},"content":{"rendered":"

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.<\/p>\n

You can also check this tutorial in the following video:<\/p>\n

\n
\"\"<\/a>
Python vs Java Comparison – video<\/figcaption><\/figure>\n<\/div>\n
\n

Table Of Contents<\/h3>\n
\n
1. Overview<\/a><\/dt>\n
2. Python vs Java<\/a><\/dt>\n
\n
\n
2.1. Prerequisites<\/a><\/dt>\n
2.2. Download<\/a><\/dt>\n
2.3. Setup<\/a><\/dt>\n
2.4. IDE<\/a><\/dt>\n
2.5. Launching IDE<\/a><\/dt>\n
2.6. Memory Management<\/a><\/dt>\n
2.7. ExceptionalHandling<\/a><\/dt>\n
2.8. Multiple Inheritance<\/a><\/dt>\n
2.9. Threads<\/a><\/dt>\n
2.10. Portability<\/a><\/dt>\n
2.11. Types<\/a><\/dt>\n
2.12. Libraries<\/a><\/dt>\n
2.13. Runtime Errors<\/a><\/dt>\n
2.14. Documentation<\/a><\/dt>\n
2.15. Mobile Web Desktop<\/a><\/dt>\n
2.16. Programming Paradigm<\/a><\/dt>\n<\/dl>\n<\/dd>\n
3. Conclusion<\/a><\/dt>\n
4. Download the Source Code<\/a><\/dt>\n<\/dl>\n<\/div>\n

<\/a>1. Overview<\/h2>\n

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.<\/p>\n

Below is a quote about Python’s popularity:<\/p>\n

\n

  “I\u2019ve 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\u2019t have anything against Python (I actually enjoy writing it), but I think it\u2019s 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.<\/em>” <\/p>\n

Dustin Schultz: Lead Software Engineer, Pluralsight Author, and technology evangelist<\/strong> <\/cite><\/p><\/blockquote>\n

Below is a quote about Java Virtual Machine:<\/p>\n

\n

“Most of the fans of the language seem to like it because it\u2019s the “new shiny,” and\/or they have Java Allergy (usually based on a view of the platform that\u2019s >10 years out of date), but … I haven\u2019t seen anything compelling in it that couldn\u2019t also be done fairly easily in JVM tech (albeit with potentially a bit more ceremony) \u2014 and the JVM has much better, broader integrations with libraries.<\/em>“
  <\/p>\n

Ben Evans Principal Engineer and JVM Technologies Architect at New Relic, Inc<\/strong> <\/cite><\/p><\/blockquote>\n

\"Python
Python vs Java<\/figcaption><\/figure>\n

<\/a>2. Python vs Java<\/h2>\n

<\/a>2.1 Prerequisites<\/h3>\n

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.<\/p>\n

<\/a>2.2 Download<\/h3>\n

Python 3.6.8 can be downloaded from the website<\/a>. Pycharm is available at this link<\/a>. You can download Java 8 from the Oracle web site<\/a> . Eclipse Oxygen can be downloaded from the eclipse web site<\/a>. <\/p>\n

<\/a>2.3 Setup<\/h3>\n

2.3.1 Python Setup<\/h4>\n

To install python, the download package or executable needs to be executed.<\/p>\n

2.3.2 Java Setup<\/h4>\n

Below is the setup commands required for the Java Environment.<\/p>\n

Setup<\/em><\/span><\/p>\n

JAVA_HOME=\"\/desktop\/jdk1.8.0_73\"\nexport JAVA_HOME\nPATH=$JAVA_HOME\/bin:$PATH\nexport PATH\n<\/pre>\n
<\/a>2.4 IDE<\/h3>\n
2.4.1 Pycharm Setup<\/h4>\n
Pycharm package or installable needs to be executed to install Pycharm.<\/p>\n
2.4.2 Eclipse Oxygen Setup<\/h4>\n
The \u2018eclipse-java-oxygen-2-macosx-cocoa-x86_64.tar\u2019 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.<\/p>\n
<\/a>2.5 Launching IDE<\/h3>\n
2.5.1 Pycharm<\/h4>\n
Launch the Pycharm and start creating a pure python project named HelloWorld. The screen shows the project creation.
 
<\/div> <\/div><\/p>\n
\"Python
Pycharm Create project<\/figcaption><\/figure>\n
The project settings are set in the next screen as shown below.<\/p>\n
\"Python
Pycharm Project Settings<\/figcaption><\/figure>\n
Pycharm welcome screen comes up shows the progress as indicated below.<\/p>\n
\"\"
Pycharm Project View<\/figcaption><\/figure>\n
You can create a Hello.py and execute the python file by selecting the Run menu.<\/p>\n
\"\"
Pycharm Hello World<\/figcaption><\/figure>\n
The output message “Hello World” is printed when the python file is Run.<\/p>\n
\"\"
Pycharm Python Execution<\/figcaption><\/figure>\n
2.5.2 Eclipse Java<\/h4>\n
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:<\/p>\n
\"Python
Eclipse Welcome Screen<\/figcaption><\/figure>\n
You can select the workspace from the screen which pops up. The attached image shows how it can be selected.<\/p>\n
\"Python
Eclipse Workspace<\/figcaption><\/figure>\n
You can see the eclipse workbench on the screen. The attached screen shot shows the Eclipse project screen.<\/p>\n
\"Python
Eclipse Workbench<\/figcaption><\/figure>\n
Java Hello World<\/code> class prints the greetings. The screenshot below is added to show the class and execution on eclipse.<\/p>\n
\"Python
Java Hello<\/figcaption><\/figure>\n
<\/a>2.6 Memory Management<\/h3>\n
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.<\/p>\n
<\/a>2.7 Exceptional Handling<\/h3>\n
Python has try-except-else-finally statements for exception handling. In Java, exception handling is possible by using try, catch and finally blocks. <\/p>\n
<\/a>2.8 Multiple Inheritance<\/h3>\n
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.<\/p>\n
\"Python
Multiple Inheritance<\/figcaption><\/figure>\n
Multiple Inheritance<\/em><\/span><\/p>\n
class Vehicle:\n    def __init__(self):\n        self.velocity = 50\n        \n    def getVelocity():\n        return self.velocity\n\nclass Machine:\n    def __init__(self):\n        self._distanceTravelled = 100\n    def getDistance():\n        return self.distanceTravelled\n\nclass Truck(Vehicle, Machine):\n    def __init__(self, velocity,time):\n        Vehicle.__init__(self)\n        Machine.__init__(self)\n        self.velocity = velocity\n        self.time = time\n        \n    def getVelocity():\n        return self.distanceTravelled\/self.time\n        \n    def getDistance():\n        return self.velocity * time\n<\/pre>\n
.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<\/code> class implementing interfaces Machine<\/code> and Vehicle<\/code><\/p>\n
Interfaces<\/em><\/span><\/p>\n
interface Machine\n{\n    int distanceTravelled=100;\n    public int getDistance();\n}\ninterface Vehicle\n{\n    \n    int  velocity=50;\n    public int getVelocity();\n}\npublic class Truck implements Machine, Vehicle\n{\n    int time;\n    int velocity;\n    int distanceTravelled;\n    \n    \n    public Truck(int velocity, int time)\n    {\n        this.velocity = velocity;\n        this.time = time;\n    }\n    \n    public int getDistance()\n    {\n        distanceTravelled= velocity*time; \n        System.out.println(\"Total Distance  is : \"+distanceTravelled);\n        return distanceTravelled;\n    }\n    public int getVelocity()\n    {\n        int velocity=distanceTravelled\/time;\n        System.out.println(\"Velocity  is : \"+ velocity);\n        return velocity;\n    }\n    public static void main(String args[])\n    {\n        Truck truck = new Truck(50,2);\n        truck.getDistance();\n        truck.getVelocity();\n    }\n}\n<\/pre>\n
<\/a>2.9 Threads<\/h3>\n
Python has inbuilt threads which can be used. The example shown below has the features related to creating and starting new thread.<\/p>\n
Threads<\/em><\/span><\/p>\n
import logging\nimport threading\nimport time\n\ndef invokeSleep(name):\n    logging.info(\"Thread is %s: starting\", name)\n    time.sleep(2)\n    logging.info(\"Thread is %s: finishing\", name)\n\nif __name__ == \"__main__\":\n    format = \"%(asctime)s: %(message)s\"\n    logging.basicConfig(format=format, level=logging.INFO,\n                        datefmt=\"%H:%M:%S\")\n\n    logging.info(\"creating thread\")\n    aThread = threading.Thread(target=invokeSleep, args=(1,))\n    logging.info(\"before starting thread\")\n    aThread.start()\n    logging.info(\"thread finishing\")\n<\/pre>\n
Java has in built classes to create threads. To create a new thread, a class has to extend a Thread<\/code> class and the run method has to be overridden. <\/p>\n
Thread<\/em><\/span><\/p>\n
public class NewThread extends Thread\n{  \n  public void run()\n  {  \n    System.out.println(\"Thread running now\");  \n  }\n  \n  public static void main(String args[])\n  {  \n    NewThread newThread =new NewThread();  \n    newThread.start();  \n  }  \n} \n<\/pre>\n
Java provides another way to create Threads. A class which implements Runnable<\/code> can be instantiated and passed as a parameter to the Thread<\/code> class. Sample code is provided below:<\/p>\n
ThreadObject-Runnable<\/em><\/span><\/p>\n
public class ThreadObject implements Runnable\n{  \n  public void run()\n  {  \n    System.out.println(\"ThreadObject running\");  \n  }  \n  \npublic static void main(String args[])\n{  \n  ThreadObject threadObject =new ThreadObject();  \n  Thread thread =new Thread(threadObject);  \n  thread.start();  \n }  \n}\n<\/pre>\n
<\/a>2.10 Portability<\/h3>\n
Python Language  is portable. The python compiler creates python bytecode which is executed using python virtual machine.<\/p>\n
\"\"
Python Portability<\/figcaption><\/figure>\n
Java language is interpreted by the java interpreter on the computer independent of the operating system. <\/p>\n
\"Java
Java Portability<\/figcaption><\/figure>\n
Python portability is not as popular as Java.<\/p>\n
<\/a>2.11 Types<\/h3>\n
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. <\/p>\n
\"\"
Python Data Types<\/figcaption><\/figure>\n
Java language has primitive and object types. Java has features related to autoboxing which converts the types automatically. The java.lang.Object<\/code> class is the base class for all the classes and Java follows the single root chain of command. <\/p>\n
\"Java
Java Types<\/figcaption><\/figure>\n
<\/a>2.12 Libraries<\/h3>\n
Python libraries consists of modules. Python modules have functions and methods.<\/p>\n
\"\"
Python Library<\/figcaption><\/figure>\n
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.<\/p>\n
\"\"
Java Archive<\/figcaption><\/figure>\n
<\/a>2.13 Runtime Errors<\/h3>\n
In python, runtime errors occur when RuntimeError is raised. When Illegal operations happen, exceptions are raised in python.<\/p>\n
\"\"
Python Runtime<\/figcaption><\/figure>\n
In java, runtime errors are presented by the compiler and the interpreter. <\/p>\n
\"\"
Java Runtime Errors<\/figcaption><\/figure>\n
<\/a>2.14 Documentation<\/h3>\n
Python has pydoc module for generating documentation. Java has feature to support comments which can be used for documentation generator. <\/p>\n
<\/a>2.15 Mobile & Web & Desktop<\/h3>\n
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.<\/p>\n
<\/a>2.16 Programming Paradigm<\/h3>\n
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.<\/p>\n
<\/a>3. Conclusion<\/h2>\n
Overall, Java has great benefits over Python. The comparison table below captures the differences between Python and Java.<\/p>\n
Comparison Table<\/strong><\/p>\n
\n\n\n\n\n\n\n\n\n\n\n\n\n
Feature<\/strong><\/td>\nPython<\/strong><\/td>\nJava<\/strong><\/td>\n<\/tr>\n
Memory Management<\/td>\nPython has two features related to memory management. They are reference counting and garbage collection<\/td>\nGarbage collection is a feature in Java.Pointers are not there in Java. Java programs consume more memory <\/td>\n<\/tr>\n
Inheritance<\/td>\nMultiple Inheritance is supported in Python<\/td>\nInterfaces can be used for multiple inheritance. Single Inheritance is supported in Java.<\/td>\n<\/tr>\n
Threads<\/td>\nPython has support for threads.<\/td>\nJava has class Thread and interface Runnable to use threads.<\/td>\n<\/tr>\n
Portability<\/td>\nPython byte code is platform dependent<\/td>\nJava byte code is platform dependent.<\/td>\n<\/tr>\n
Access Control<\/td>\nPython has a concept of non  public instance variables and properties .<\/td>\nEncapsulation helps in access control of the class variables and properties in java.<\/td>\n<\/tr>\n
Types<\/td>\nDynamic and Duck Typing is supported in Python<\/td>\nSingle root chain of command pattern is used in Java.<\/td>\n<\/tr>\n
Libraries<\/td>\nPython libraries consists of modules. Module has functions and methods.<\/td>\nJava archives are used for building java libraries.<\/td>\n<\/tr>\n
Runtime error<\/td>\nPython raises exceptions when runtime errors occur. RuntimeError is raised for programmatic error handling.<\/td>\nRuntime errors are detected in compilation and execution stages in Java<\/td>\n<\/tr>\n
Performance<\/td>\nPython is slower than Java<\/td>\nJava performance is faster compared to python<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n
The quote below from stack overflow summarizes the python vs Java popularity and adoption in developer community.<\/p>\n
\n
 “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).\u201d<\/p>\n
StackOverflow 2019<\/cite><\/p><\/blockquote>\n
<\/a>4. Download the Source Code<\/h2>\n
Download<\/strong>
\nYou can download the full source code of this example here: Python vs Java: The Most Important Differences<\/strong><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"
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. You can also check this …<\/p>\n","protected":false},"author":82890,"featured_media":219,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1878],"tags":[1200,224],"class_list":["post-99198","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-java","tag-python"],"yoast_head":"\nPython vs Java: The Most Important Differences - Java Code Geeks<\/title>\n<meta name=\"description\" content=\"Check out our detailed article on Python vs Java. Java is an OOP language. 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