Python Vs Java – Which is better to learn

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As a software developer, you may have many decisions to make when you are developing an app. From deciding the project budget to choosing the programming language, from usage of tools, platforms and frameworks to describing a set of rules that can be used to give various types of output, the process involves many complexities.


When we talk about the languages, two most popular and powerful programming languages used by the software developers these days for developing a range of desktop applications and web applications, are Python and Java.


Java was developed to help developers to build software with minimal implementation dependencies, whereas Python was designed for code readability. Those who look forward to learn either of languages are often confused about which language to choose. Therefore, it becomes mandatory for the programmers to learn the differences between Python and Java, and why should they learn any of these.


 


Also Read5 Tech Careers That Will Still Be After 2020


 


Python Vs Java – Key differences


 


JavaPython
TypeGeneral purpose. Runs everywhereHigh level. Code readability and short syntax
Compilation Easily complies on any platformEasily complies on Linux
Type of Programming LanguageCompiled programming languageInterpreted and object oriented programming language
Programming Paradigm SupportSupports key functional programming conceptsSupports functional, imperative, and procedural programming paradigms
Code ReadabilityRequires efforts for better code readabilityEmphasizes more on code-readability, keeps the code base clean, readable & concise
Standard LibraryHas core, integration and user interface librariesHas a comprehensive standard library with over 1,30,000 Python packages
Performance & SpeedJava code execution is done through just-in-time (JIT) compilation, and makes software applications run faster by supporting concurrencyExecution speed of Python applications is accelerated through implementations of programming languages
Mobile App DevelopmentOffers robust frameworks and development tools for mobile app developmentDoesn’t allow building native mobile apps for any mobile platform
Machine Learning & Data ScienceUsed for projects related to network security, cyber-attack prevention, and fraud detectionWidely used for scientific computing, big data, and artificial intelligence projects, and is the most preferred programming language for machine learning and data science
Learning CurveEasy to write, compile, debug, and learn.  Often requires writing additional code for beginners to express conceptsEasier to learn because of simple and expressive syntax rules

 



 


Advantages of Learning Java


 


  • Being one of the two most popular programming languages of the industry, Java offers you a range of opportunities in core Java-based server-side applications, J2EE web and enterprise applications, hence taking up java online course with certificate is a good idea
  • Java can be implemented in any software type, be it an enterprise application, a website, a desktop application, a search engine or a gadget
  • Java is a secure platform, so it’s here to stay
  • Java isused in almost every Android App, opening up new avenues of career growth in Android App development as well
  • Java provides Application Programming Interface (API) for I/O, networking, utilities, XML parsing and database connection
  • Java has a wonderful community support with a number of active forums, StackOverflow, open source organizations and several Java user groups to help beginners, advanced and even expert Java programmers


 


Also ReadTop Java Interview Questions & Answers


 


Advantages of Learning Python


 


  • For general-purpose tasks, it is an ideal language to work with, hence most of the automation, data mining, and big data platforms are dependent on Python
  • Python has diversified applications, such as in gaming, web frameworks and applications, language development, prototyping and graphic design
  • Python ensures a productive coding environment than other programming languages like C# and Java, and this is why python online course certification has gained popularity among the new-age software developers
  • Python uses languages like Java, VB, Perl, C, C++, and C#, and increases the programmer’s productivity manifolds
  • Python has extensive support libraries and clean object-oriented designs, thereby facilitating the task of programmers


 


Also ReadWhat Is Python And Why Should You Get a Certification?


 


Which one is the best language to learn?


 


After reading all the differences between Java and Python, and the advantages of learning both the languages, you must have understood by now that which one should you choose. However, it can be said that both languages will be relevant in the future. Being an intuitive language, Python is a good choice for beginners. In addition, its syntax is similar to English, making it easier to understand. This programming language is in its revolutionary stage and its open source nature is enabling a slew of new tools for further improvement.


Java is open source and deals with performance issues more efficiently. TIOBE Programming Community Index suggests that Java is more popular than Python and is an official programming language for Android. Java is geared more towards perfection to build clear, consistent code using complex syntax, while Python offers the advantages of flexibility, brevity and fluidity.


Choosing a language to learn comes down to preferences. Both Java and Python are powerful in their own areas, so choose the course wisely as per your career aspirations. Job market is good for both the programming languages and the payouts are equally high.



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About the Author

Rashmi Karan

Rashmi Karan

Rashmi Karan is a web enthusiast and a professional content writer, keeping an eagle eye on the latest and upcoming trends of the professional education sector. She has been writing articles, blogs and guest posts related to all sorts of happenings in the professional education industry.
Topics : Data Science