Python vs Java : Know the difference

Programming Languages are an essential piece of computer science and important to almost every programming activity. Selecting the best programming language is always a confusing task. Python and Java have been fighting for the top position of the most popular programming languages. Python is making an enormous progress in the past few years whereas Java holding onto its position. Both the languages are hottest programming languages in the market due to its versatility, efficiency and automation capabilities. It has been observed that these languages are perfect and are able to do most of the tasks. But there are some key differences that will help you decide the best language.

Python-

Python is a dynamically-typed general purpose programming language. Python’s initial development started at a research institute in the Netherlands. The inspiration driving it was to make a higher level language to cross over any barrier among C and the shell. The syntax was also motivated by a few languages like Algol68, Pascal, and ABC and was intended to be readable and clean. 

Java- 

Java is a statically typed general purpose programming language. It is an object-oriented and concurrent language. Java works as WORA (write once run anywhere) language. It was designed to run on any platform and with as few dependencies as possible, with the help of the Java Virtual Machine (JVM).

Python vs Java- Key differences-

Python vs Java

1. History- 

Python, first released in 1991 by its inventor, Guido van Rossum. It is a readable, efficient and powerful high level language with automatic memory management.

Java is an object-oriented language with a C/C++-like syntax that is familiar to many programmers. Java allows new code to download and run, but not dynamically typed.

2. Performance-

First of all, languages don’t have speed, they have only semantics. If you want to compare speed you must choose specific implementations to compare with each other. Remember that performance is not only a function of the language’s execution speed, the program’s implementation, and the third party libraries performance is usually the number one factor in the equation.

3. Legacy-

Python has less legacy problem so organization faces difficulty for the script to copy and paste codes and gives it a slight edge over the other languages.

Java’s history in the enterprise and its slightly more verbose coding style imply that Java legacy systems are typically larger and more numerous than python’s.

4. Code-

It only takes 2 lines of code to read from a file in Python. This makes Python a more preferable language.

Java is very verbose as compared to Python. It takes 10 lines of code to read from a file in Java.

5. Popularity-

Popularity has always been a game between these two languages because they are close competitors in the top 3 positions of popularity. Before the Javascript release, Java was the number one most popular language. 

In 2018 developer’s survey, Python was delegated the quickest developing programming language subsequent to taking over C# recognize this year and outperforming PHP a year ago. Java is still positioned above Python being well known with 45% of developers while Python is at 39%, anyway that gap is closing. It is safe to say that both languages reside around the same area in popularity.

6. Practical Agility-

Python is most positive language for Machine Learning, Artificial Intelligence, IoT and significantly more.

Java appreciates more undeviating refactoring support than python on account of its static kind framework and all inclusiveness of IDE’s being developed. It is more popular for mobile and web applications.

Python vs Java use cases-

Game Development-

Game development is a field that requires the most elevated conceivable execution to give consistent experiences to the users, and while Java and Python are not slow, they don’t provide the best performance for game development. Python is not a powerful option for game creation. There is Cocos, Panda3d, Pygame and a few other engines/frameworks for building games with Python. However, Python isn’t completely ruled out for professional game development, it’s an important tool for a game developer, as Python is a popular scripting-language option for many developers including game developers. Editing Packages like Maya also use Python as a scripting language.

Web Development-

Back-end web development uses the languages. Back-end web development is a part of web development concerned with creating the software that will run on the server. Writing your own backend technology  is extremely hard to cover all design requirements like security, reliability and effectiveness. And hence developers have created frameworks which is an abstraction in software that enables you to build your backend technology without reinventing the wheel. Know the use of Python in Artificial Intelligence, Finance etc. at our blog- Using Python in Finance, Analytics and Artificial Intelligence.

The two popular frameworks for Python are Django and Flask. Flask is a small web framework, which gives you the basic functionalities you’d need like routing requests without much overhead. Django can help you to build a powerful backend while benefiting from efficiency and security. Django is equipped with a powerful ORM layer which encourages dealing databases and performing different operations on the data.

For Java, Spring is the most well-known Java backend framework with a massive ecosystem and a huge network around it. Orange, Dell, GE, and many other enterprises uses it. Spring is not as popular as Django. It is a powerful option for building enterprise level applications.

Machine Learning-

Python is syntactically simple yet a fully-fledged general purpose programming language. It turned into a prominent choice for people from different disciplines who needed to experiment with machine learning and bring the power of AI into their respective fields. Hence AI development and machine learning development uses Python.

Java is a good option when it comes to machine learning. It is easy to debug and use also. Large-scale and enterprise level applications uses Java. Among the libraries, you could use in that area are Weka, Mallet, DeepLearning4, and MOA.  

Python and Java Comparison summary-

Java and Python are both capable and popular languages. So there are many resources available. If you’re new to programming, it will be better to use Python just because it’s really easy and uses English- like syntax. If you want to develop enterprise level applications coming from a C/ C++ world, then Java would feel pretty familiar to you.

Are you looking to develop a software for your business with Python or Java? Then Solace is the right place to start. Developers at solace believes in effectiveness of using Python in development. Get a free quote for software development using python that will lift your business to the next level.