When it comes to Software Development and building software applications, what is the main reason to choose a specific programming language for the development of the project?
Deciding on which programming language to use to build a sophisticated software application can be a very daunting task, especially when there are so many advanced languages and full stack options to choose from. Java and Microsoft .NET tend to be the top preferences for most companies, but Python is starting to gain popularity and acceptance in the industry. The reasons for this accelerated growth include developer productivity, language flexibility, library support, community support, and ease of learning.
Should they just duke it out?
Unlike infamous rivalries such as Marvel vs. DC, Coke vs. Pepsi, and Microsoft vs. Apple, the choice between Java and Python is a bit less divisive—the two languages typically have different use cases and fan bases.
Let’s take a closer look at Python in detail and try to understand the merits and demerits of Python in comparison to Java.
PYTHON is a general purpose interpreted and high level OOPS (Object Oriented Programming System) based DYNAMIC programming language that focuses on rapid application development. Python’s evolving libraries and support make it a viable choice for most projects, be it Mobile App, Web App, IoT, Data Science or AI. Python is an open source language, and its expanded set of supporting tools, modules and libraries are completely free of cost.
Is is just a case of Simplicity?
IThe language is so simple to read and work with, that it takes very few lines of code to implement even very extensive functionalities in comparison to Java, which takes on average more than 100 lines of code to implement the same functionality. Python’s design encourages code readability, conciseness, and reliable code layout.
The table below summarizes the major differences between Python and Java to clearly demonstrate what makes Python stand out and why you should use Python for your next project.
Taking a closer look at the Performance and Speed of Java and Python, it is very clear that Python has a lot of improvement to do. Recently Google completed a study on this very concept. The study discusses designing a high throughput system. In conclusion, the study found the following:
Many experts comment on this potential speed issue, although according to Nick Humrich at hackernoon.com:
“It may seem paradoxical to use an interpreted language in a high-throughput environment, but we have found that the CPU time is rarely the limiting factor; the expressibility of the language means that most programs are small and spend most of their time in I/O and native run-time code. Moreover, the flexibility of an interpreted implementation has been helpful, both in ease of experimentation at the linguistic level and in allowing us to explore ways to distribute the calculation across many machines.”
In other words, CPU time is not always a crucial factor in deciding on a programming language for your application.
The Pros and Cons to JAVA & PYTHON
Java and Python both have their pros and cons, but it might be risky to choose a language for your application simply because it is “fast” in terms of speed and performance. Instead of just looking at the factors such as performance and speed, you should also consider the other contributing factors such as flexibility, code readability, productivity and security features that Python offers.
It is really up to you to opt for a specific programming language for your project, based on the type of project you’re working on and the resources that you have. If you’re planning on a large-scale system, Java is the way to go—however, if your project focuses on web development with scope for data analytics and machine learning implementation, Python would be an even better alternative!
Further, with Microsoft releasing the new Python Extension for Visual Studio code, will Python become the future of programming? With the expedited growth of Python in the last few years, only time will tell.