Java Stack or Python - Which One would You Prefer for Your Product?

As a high-level programming language, Python is used widely by developers for both scripting and non-scripting context. The programming language is designed with features to optimize code readability. Thus, programmers can use Python to express concepts clearly without writing longer lines of code. On the other hand, stack is a runtime that Java searches for while making security decisions. So you have option to create projects using either Python or Java Stacks. It is always important to understand the key differences between Java Stacks and Python to decide the most appropriate option for your project.

5 Significant Differences between Java Stacks and Python

1) Nature of the Programming Language: As a programming language, Java is typed statically. Thus, Java can be used as a low-level implementation language. If you decide to use Java Stacks, there are options to choose from several JVM languages. These languages can be further combined to complement a number of JVM languages including Groovy, JRuby, Scala and Clojure. On the other hand, as a dynamic typing language Python can be used effectively as a glue language. If you are looking for an interpreted programming language, it is advisable to choose Python.

2) Object Oriented: Many reports have highlighted that Java can run faster than Python. But Java required programmers to define the type of each variable. Further, they have to define a class before writing any code. The code also needs to be complied by invoking compiler, before running it. But Python allows programmers to run the code directly without declaring any data type. Also, the programmers have option to combine both imperative and object-oriented programming.

3) Cleaner Code: Many developers rely on Python as a dynamic programming language to quickly complete the same coding tasks. Thus, the programming language makes developer more productive. Like other dynamic programming languages, Python can also be used for prototyping and testing at a rapid pace. As Python allows programmers to prototype and test rapidly, they can create a much higher number of prototypes in the amount of time required to create a single prototype with Java Stacks. The developers also have option to integrate Python with existing environments by using specialized tools like IronPython (for .Net) and Jython (for Java).

4) Performance: As noted earlier, Python runs slower than Java Stacks. Unlike java, the dynamic languages do not run closely to the processor. So these languages fail to deliver adequate level of speed. However, the performance of Python can be easily enhanced by using multi-core processors. A number of large enterprises are already using powerful processors to smoothly run high-performance trading applications developed with Python. However, you have to incur some additional expenses to create the environment to run Python applications faster.

5) Security: Both Python and Java Stacks come with several security features. The dynamic languages are also not less secure than Java or .NET. However, a number of reports have highlighted loads of Java vulnerabilities. Some of these Java vulnerabilities are also critical, and have affected thousand of Java applications. However, the instances of Python vulnerability are limited. So developers rely on dynamic languages like Python to deliver secure enterprise applications. As Python is an open source programming language, they have further option to avail the assistance of a large community of developers.

While comparing Java Stacks and Python, you must remember the nature and needs of your project. It is also a great idea to evaluate the pros and cons of each option based on the requirements of your project. The initial research will help you in choosing the right option for completing the project without putting any extra time and effort. To get maximum benefits of Java, you may consider hiring services of a certified Java web application development company.

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