Python Vs. Java: A Comprehensive Comparison To Not Miss Out In 2021–22

--

Image source

Who doesn’t know about Java and Python these days? Being one of the world’s most popular programming languages, Java is ranking first in the list of most used languages, and Python sits in 3rd place. Choosing the right programming language is the major concern for most business owners and CTOs when it comes to system or software application development.

If you are in the same dilemma, don’t fret. In this article, I have decided to table up a comprehensive comparison of Java and Python. So, let’s not spend much time and glean into Java vs. Python comparison.

Big Data Jobs

Which is More Popular?

Needless to say, that programming language popularity index has a good place for Java and Python. Among the top, most popular programming languages such as C, C++, C#, PHP, JavaScript, and more, Python and Java hold significant positions.

However, the release of Kotlin has brought great competition to the landscape; Python and Java are being expected to have more advanced features to hold their position. As per TIOBE Index, Java tops the list of the most widely used programming language, with 9 million coders worldwide.

Image source

Meanwhile, Python is being ranked 3rd on the list. However, Java has experienced some downfall in the past five years; the setback isn’t gross. If we consider the data of Google Trends: Python is gradually rising, and Python tutorials are the most searched language tutorial on the internet, as per PYPL.

Also, PYPL has published a separate ranking report for India, Germany, France, the US, and the UK, where Python ranked number one. Altogether, Java holds the second position in the list.

Moreover, the market share of both programming languages is astonishing. Per Datanyze statistics, Java sits on the 6th position on the global market of programming language with 2,69% and Python at 8th position with 0,82%.

It shows how both programming languages have their own significance and market position, and it’s hard to replace each other. However, if you want to do scientific computing, you should hire python developers.

Trending AI Articles:

1. Why Corporate AI projects fail?

2. How AI Will Power the Next Wave of Healthcare Innovation?

3. Machine Learning by Using Regression Model

4. Top Data Science Platforms in 2021 Other than Kaggle

Python VS Java: Basics

Python :

  • Being a back-end programming language, Python is exemplary for beginners.
  • It is just similar to Ruby language but less verbose (a little less wordy) than any other language for programming.
  • The Python is considered approachable. You can write incredible and useful system tools in Python, even when you don’t have a CS class.
  • There is no need to deal with lower-level aspects of programming such as memory management & allocation, as it is a high-level programming language.
  • You can use it for scripting, web scraping, and data set development.
  • The use of Python is popular in scientific communities for scientific computing, as it has maths and science operation libraries.
  • Python is believed as loosely typed, as it requires you to state the type of value that a method returns.
  • The python community is large, welcoming, and well-documented.

In short, Python is an incredible programming language that can cater to a great number of benefits to web and software application development. Moreover, its usage for Big Data analytics, Data science, and scientific computing is appreciated and encouraged among the developer community.

Image source

Java:

  • Java needs no introduction. Being a general-purpose programming language, it is more or less like JavaScript and Python.
  • Also, its origin ties with C++ and C#, as it is an object-oriented programming language.
  • It is also a platform that means Java code can run on any machine with JVM (Java Virtual Machine).
  • Java is a robust programming language that enables developers to code complex system software.

If you want to create an enterprise grades solution with great scalability capacity, you must hire Java developers that can bring your idea into the digital world and develop a sophisticated application solution.

Python Vs. Java: Popular Frameworks

-> Python is mostly written and developed on frameworks like Django, Flask, and Jupyter notebook. These frameworks are widely popular and appreciated for providing incredible ease in Python application development.

-> In 2021, there is no dearth of Java frameworks. Most developers use Apache, Netscape, Swing, Vaadin, Grails frameworks that enable java development at ease by providing seamless syntax and autocorrect.

Python Vs Java: Advantages

Python:

  • Python includes third-party module allows the interaction with other language and platforms. For example, developers can leverage bundles with the same Java and C++.
  • It has extensive support libraries that provide ease in system application development. Besides, a number of frequently used tasks have already been scripted into Python standard libraries that make development seamless.
  • It is open-source and enables community development. Being free to use and distribute, it is fit for commercial purposes. The community of Python contributes to the expansion of the technology and further populations via hosting and mailing lists.
  • Python is well-supported and easy to learn that aids beginners to leverage this programming language without any hassle. Moreover, the vivid code style of the technology provides a comprehensive set of rules for the formatting of code.
  • It also provides the use of user-friendly data structures. The technology’s built-in feature list and dictionary data structure can be leveraged to construct fast runtime data structures.
  • Besides, Python provides dynamic high-level data typing options that minimize the length of support code.
  • The productivity enabled by Python is excellent as it enhances process control capabilities with integration and text processing. Moreover, its own unit testing framework makes it more productive.
  • It is the best programming language to leverage artificial intelligence, machine learning, and data science.
Image source

Java :

  • Java is platform-Independent at source and binary levels, which also provides it outstanding ability to move easily from one system to another.
  • The inherently integrated distributed computing feature of Java includes a number of systems in one network and offers seamless processing.
  • Being a compiled language, every cod first gets compiled in JVM code called bytecode, which is machine-independent. In short, you need to compile code once, and then generated bytecode will enable java code to run on any platform.
  • Java checks the possible errors early that makes it more reliable and helps in detecting many problems in the initial stage.
  • Being a multi-task language with threading, it can carry out a number of tasks simultaneously within one programming.
Image source

Python Vs. Java: Disadvantages

Python :

  • Python lacks in mobile computing; that’s why it is not reliable for mobile app development.
  • Higher memory consumption cause hindrance in memory-intensive tasks.
  • Python is a dynamically typed language that causes runtime errors in lack of proper testing.

Java:

  • Java is a highly complex programming language when it comes to learning, especially compared to Python.
  • The default look and feel of applications developed using Java in Swing are very different and incompetent than a native application.
  • The garbage collection-based memory management affects the performance of the application.

Java Vs. Python: When To Pick

Python:

According to recent research, is that it’s easy for beginners. It also lends itself well to data science and machine learning in fields like artificial intelligence or other types of analytics because its simplicity can be scaled up without much complication.

Python is a great programming language to learn for those who want an easy and for python app development, quick start in learning how to code. Python uses dynamic types while Java only has static types, which means it will take more time and effort on your part when you are troubleshooting or writing codes due to the differences between these two languages.

Image source

Java:

Java is a language that can be compiled into machine code and has an interpreter. Python, on the other hand, doesn’t need compilation, but it’s slower out of the box — unless you use PyPy (a special implementation). Java uses garbage collection, which takes up less space in memory than reference counting used by Python.

If your application needs fast processing or large amounts of data per unit time, then go with Java since its JVM offers better optimization for this purpose than any existing backend available for Python.

Java is a great language to use if you want your programs to be quick and efficient, since it uses JVM for just-in-time compilation. Java also has better concurrency than Python, as multiple codes can run at the same time, while with Python, everything happens sequentially.

Furthermore, because of its cross-platform capabilities when writing code only once then running anywhere on any platform that supports Java — which includes Android phones! Hence, this makes Java much more popular among developers worldwide due to its efficiency and versatility, allowing them to develop their applications everywhere.

Java is an excellent choice for programmers looking for increased speed combined with flexibility across platforms.

Conclusion

Java and Python are both object-oriented programming languages that have big communities around them. Java is a more general-purpose language, which means it’s easy to use for anything from mobile apps to web applications or even the Internet of Things (IoT).

It also has better speed than Python because it’s compiled in order to execute faster without any translation needed at runtime. But while Java will be great if you want your program running fast and efficiently on many platforms, then Python may serve as an appealing alternative since its lightweight design makes development easier with less work required upfront before development can occur.

So, if you want to leverage the scientific capabilities of Python or use AI/ML, Data science, you can connect with python Django developers. For enterprise-grade solutions, hire java developers.

Don’t forget to give us your 👏 !

--

--

I am a tech enthusiast, project manager and a passionate writer with digital thinking. I write about latest technologies ie Blockchain, IoT, AI for ValueCoders.