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This post on Python vs. Java features a brief intro towards both the programming languages. Then it focuses on the key differences between both the programming languages.
Both Python and Java are the most often used programming languages, but both are quite different from each other in several aspects which shall be discussed later. As per the most recent TIOBE Programming Community Index, Java is more well-known than Python. Currently, developers use Java and Python for building up a wide assortment of desktop and web applications. Both programming languages are likewise compatible for machine learning and Data Science.
Python vs. Java – Comparison Points
- Type of Programming Language
- Programming Paradigm Support
- Code Readability
- Standard Library
- Execution and Speed
- Mobile App Development
- Machine learning and Data Science
- Agile and DevOps
- Learning Curve
Java was structured with the objective to empower developers to build software applications with negligible implementation dependencies. Whereas Python is the main programming language whose design philosophy accentuates on code readability. Therefore, it is important for software developers to understand the difference between Python and Java.
Python vs. Java: Type of Programming Language
Both Python and Java fall under the category of high-level programming language. But you must understand that Python is an interpreted programming language. The developers need to utilize an operating system specific Python interpreter to run the Python code directly. They even have the choice to select from several implementations of the programming language. Whereas, Java is a compiled programming language. The Java code is at first compiled into bytecode that keeps running on any device or platform with Java Virtual Machine. The developers can additionally port the compiled Java code between platforms easily.
Python vs. Java: Programming Paradigm Support
Both the programming languages support a variety of commonly used programming paradigms. Other than being an object-oriented programming language, Python additionally bolsters functional, imperative, and procedural programming paradigms. Java was initially developed as a concurrent, object-oriented, and class-based programming language. But Java has been evolving at a consistent pace.
Python vs. Java: Code Readability
In contrast to Java, Python stresses explicitly on code readability. It even empowers software developers to keep the code base spotless, readable, and concise. Several developers lean toward Python to other programming languages to abstain from writing extra code and keep applications practical. Each new form of Java accompanies various new language features to streamline software development. Java 9 encourages developers to fast-track software development procedures and maintenance by structuring software applications with modules. Every module is additionally structured as a reusable collection of code. In any case, the developers need to put additional time and exertion to keep the Java code organized and viable.
Python vs. Java: Standard Library
While composing code in Python, the software developers can exploit its vast and exhaustive standard library. The Python libraries make it less demanding for software developers to compose a variety of software applications and complete various software development tasks. The developers even have the alternative to choose from more than 130000 Python packages including graphical UI, database, multimedia, web framework, testing systems, automation, system administration, text processing, image processing, and scientific computing. In the meantime, Java likewise enables developers to choose from a wide range of libraries as per their specific needs. The developers can even choose from core, integration, and UI libraries. Developers will anytime refer Python over Java in terms of standard libraries
Python vs. Java: Execution and Speed
Both Java and Python do not have the optimal speed required to execute high-performance computing. But JVM (Java Virtual Machine) accelerates Java code execution through JIT (just in time) arrangement. The JIT compiler aggregates the bytecode to native machine code in a nick of time. Additionally, Java makes software applications run quicker by supporting concurrency. Whereas, the developers can quicken Python code execution through a few usages of the programming language. For example, they can utilize Jython to compile the Python code into Java bytecode, and Cython to compile the Python code into C/C++ code. The multiple implementations assist software developers with optimizing execution speed of Python applications.
Python vs. Java: Mobile App Development
Presently, Java is amongst the two official programming languages for Android OS. Several developers use Java for building applications and games for the Android OS. They even have the alternative to compose Android applications and games in Java proficiently by using various powerful frameworks and development tools. As of now, developers do not have any option to use Python for building native mobile applications for any mobile platforms. However, they can still create Python-based cross-platform mobile applications by utilizing libraries like Kivy. The developers need to put additional time and exertion the make the Python-based mobile applications that deliver optimal user experience.
Python vs. Java: Machine learning and Data Science
Python is utilized broadly by organizations for scientific computing, big data, and AI projects. Additionally, it is as of now most preferred programming language for machine learning and Data Science. Several data scientists and machine learning programmers prefer Python over Java while working on sentiment analysis. But many machine learning programmers choose Java over Python for projects related to network security, cyber-attack prevention, and fraud detection.
Python vs. Java: Agile and DevOps
An enduring increment is being noted in the enterprises adopting agile development methodology to convey astounding software applications quickly. Similarly, numerous associations these days adopt DevOps to accelerate software development, testing, and deployment processes. Both Java and Python empowers the enterprises to embrace new project management methodologies like agile and DevOps. As Java incorporates a static type framework, it becomes easier for developers to simplify refactoring. In the meantime, Python helps developers to automate refactoring by incorporating a dynamic type framework. Additionally, its straightforward and expressive syntax rules empower Python software developers to explore different avenues.
Python vs. Java: Learning Curve
As featured by various studies, beginners are more comfortable learning Python compared to Java. The basic and expressive syntax rules of Python make it a lot simpler for beginners to start writing codes for different software applications. Other than that, the beginners are not required to put additional time and exertion to keep codebase clean and readable. Whereas, Java requires beginners to compose extra code to express the concept. But several beginners still settle for Java instead of Python to gain proficiency over a programming language that empowers them to build mobile applications and games for Android OS.
All together, we can say that both Python and Java are robust and widely accepted programming languages. Both these programming languages are quite old still these are being used in modern projects like Artificial intelligence, machine learning
Manchun Pandit loves pursuing excellence through writing and has a passion for technology. He currently writes for JanBaskTraining.com, a global training company that provides e-learning and professional certification training.
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