The choice between Java vs Python is not really that kind of rivalry, the two languages typically have different use cases and fan bases. Both are powerful programming languages and have a huge array of libraries supported by legions of developers. Some libraries are more popular than others are, and some appear in nearly every application of any consequence at some point. However, Java and Python are also very different from a number of perspectives. Some of these differences are objective and not open to debate, while others are a matter of opinion, usage preference, or programming environment.
Nevertheless, as two of the most popular programming languages around, it is worth looking at their introduction first.
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
Core Java has strong support for web development. While Java on the desktop, with the notable exception of Eclipse RCP based application, was never a huge success, Java is frequently used at the server side.
Java web applications are typically not running directly on the server. Java web applications are running inside a web container on the server. The container provides a runtime environment for Java web applications. The container is for Java web applications what the JVM (Java Virtual Machine) is for local running Java applications. The container itself runs in the JVM.
Most of the modern Java web frameworks are based on servlets. Popular Java web frameworks are GWT, JavaServer Faces, Struts and the spring framework. These web frameworks usually require as a minimum container a web container.
Guido van Rossum created this programming language in the early 1990s. Django is a free and open source web application framework, written in Python. Its initial release was in 2005. Multiple languages inspire python, including C/C++, Java, Perl, Lisp, and ICON.
Python is one of those rare languages, which can claim to be both simple and powerful. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. It is an interpreted, object-oriented, high-level programming language with dynamic semantics. Python is simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse.
Python is based on the principle that there is only one best way to do a work. This makes Python a very strict and disciplined language and makes it easier to learn.
Java vs Python
The main difference between the two languages is their typing method. Python is a dynamically typed whereas Java is statically typed language.
Python uses dynamic typing which allows users to change the variable type. This makes Python language easy to write, read but more complex to analyze. This is why beginners find Python very easy to learn then other programming languages. Due to the ability of dynamic typing, beginners can easily variables, as they want to use them.
On the other hand, Java is a static typed language. This means that user is forced to choose a variable, which cannot be changed in later programming. However, static typing minimizes the chance of errors during programming. If you do not have to declare a variable before using them, there is a risk that you might misspell a name of a variable without knowing.
In Python, there is only one “best” way to do something. This philosophy has led to a language strict in layout.
Python is easy to learn. If a language is difficult to learn and integrate, it will have little chance of being widely adopted. Almost all of the syntax is very similar to “real-life” words. The keywords are very familiar to any non-programmer, so beginners can pick up on the language without too much difficulty.
It is very efficient language. A new technology lacking efficiency will never gain the success. With the built-in methods and classes, common tasks are executed very easily and systematically without making any difficulty for the application.
The application remains easily open to being connected to other new modules in a systematic approach without disturbing its existing modules. This enables the application to remain in an auto-complete mode so that it can be enhanced further in later periods without debugging its core.
Java continues to be one of the most popular programming languages in the world. There is an infinite number of ways to use Java. Recent reports confirm Java programmers are among the highest paid programmers in the industry. Java programming skills remain in high demand with employers. It is a widely used language with a large installed base.
Java lets you create programs that work almost anywhere, including smartphones, servers, ATMs, point of sale (POS) terminals, Blu-ray players, televisions, set top boxes, Internet of Things gateways, medical devices, Kindle E-readers, automobiles and more.
Many tools are free or open source. NetBeans and Eclipse are great examples in the integrated development environment (IDE) space. Java has a vibrant and active community that works together to foster and grow this powerful programming language.
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Java is widely spread and one of most powerful programming languages, which gives power to a lot of projects and famous websites. Here are some examples of famous projects done in Java.
eBay Inc. is a multinational e-commerce corporation based in San Jose, California that facilitates consumer-to-consumer and business-to-consumer sales through its website. eBay architecture is based on java.
Python is an incredibly powerful and useful computer programming language that many of the biggest websites in the world rely on for their foundation. Here are some famous software programs that are written in Python.
YouTube is one of the most popular sites on the Internet, and it runs on one of the most powerful languages in Python. The foundation for Python helped YouTube integrate streaming videos into their pages, as well as the ability to like videos and embed certain information.
With Python at the root of DropBox, there is no longer a need for USB sticks or blank CDs, since you can now save and share everything with your cloud-based account. This program lets you save files to a cloud-based service, that you can then access from anywhere in the world.
It takes a lot of power to be able to handle the most popular search engine in the entire world. That is why Google uses Python for its mainframe foundation. The ease that Google provides for finding certain information would be impossible without Python at the core.
Spotify changed the music game when it allowed you to listen to ad-free music of your choice. However, whether you are rocking out to the latest K-Pop song from Psy or a classic jazz tune, you are doing so because Spotify was built on Python.
Java is faster than Python because the latter is interpreted, which makes it run slower than its counterpart does. When it comes to portability, both Java and Python are very portable. However, Java popularity makes it a clear winner, as it is possible to use it for desktop programs and web applications. The Java Virtual Machine is available almost everywhere, thus you can be sure your program will be used by almost every user.
Most people believe that Python is easier to learn compared to Java. In addition, Python code is easier to understand and read than Java.
However, the popularity of Java means that you have to learn it so that you can create applications, which can run on different platforms such as Android. The potent Java Virtual Machine explains why Java is still used to build large applications used by most businesses today. Java is also better than Python thanks to its database access. Java Database Connectivity is stronger than Python’s data access layers, hence the reason why Java is preferred in companies with a critical database.