Difference Between Java and Python

Introduction

Java has been a reliable programming language since its inception, but it seems to be dwindling in popularity as new technologies and programming languages become more accessible. Python is one such programming language. We'll compare and contrast the characteristics of Java and Python in this article.

What exactly is Java?

Java is a general-purpose object-oriented programming language (though it is not entirely object-oriented as it contains primitive types). Java code is platform agnostic, which means it can run on any platform that supports Java. Recompilation of code is not required. Java has become one of the most popular client-server programming languages. Java code is translated to bytecode, which runs on any computer architecture using the Java Virtual Machine (JVM).

James Gosling was the first to create Java. Sun Microsystems, which was eventually bought by Oracle, was where he invented it. In 1995, Java was first launched. Java 11 and Java 12 are the most recent versions in use.

The fundamental motivation for the creation of Java was that the previously utilised C++ was clunky and unsuitable for client-server applications.

Java has the following features:

• It is an object-oriented programming language that simplifies the process of developing code.
• Because memory allocation occurs at runtime, a java programme may be built without the main method.
• One of the most important advantages of Java is that it is platform agnostic. Java programmes are not directly compiled; instead, they are transformed to bytecode, which may be executed on any platform that has a JVM.
• Java is an interpreted language, which means it compiles and executes at the same time.
• Because of its platform independence, Java is frequently used.

What exactly is Python?

Python is a 1991 object-oriented programming language that may be interpreted. The Python Software Foundation created it, and Guido van Rossum designed it. It's dynamically typed, which means you don't have to declare the variable's type before using it. Python also has a number of libraries for machine learning and data science that are quite popular.

Python is a programming language. Django, Pyramid, and other frameworks aid in the construction and management of a variety of applications. Python may be used in scientific computing thanks to libraries like NumPy and SciPy. TensorFlow and other libraries make machine learning tasks easier.

Python has recently acquired an advantage over other programming languages due to the following features, which make it a useful option for developers:

• Python is a simple language to type. It has a simple syntax and just takes a basic understanding of OOP to learn. You don't have to describe the type of the variables since it's dynamically typed.
• Python's free and open-source nature is one of its most appealing qualities.
• It is a high-level language, meaning it can be read and understood by humans.
• It is an object-oriented language that follows the object-oriented paradigm, making it simple to write programmes and increasing code reusability.
• It's a language that's been translated. It is compiled and performed line by line in real time, and it throws an error if it encounters one.

Comparison Table Between Java and Python