Python Vs Java: There are a few important programming languages that you have to choose from to build a project. Python and Java are the two most popular and powerful programming languages in use today.

Both languages are high-level, object-oriented, general-purpose programming languages and Python and Java cover almost any type of application you could wish to build.

Python and Java both are among the top five most popular programming languages, but Java is usually just ahead of Python. However, Python’s popularity is also increasing. Both languages have many similar functions so it is quite difficult to tell which language is better than the other. Each of them is stronger in different circumstances. So while choosing language for your app you must consider strengths of the language with the needs of your project.

Here, we take a look at python vs Java and in this Python vs Java comparison, you can read every about Python Programming language and Java programming language.

JAVA:

Java is a general-purpose programming language that is class-based, object-oriented, and designed to have as few implementation dependencies as possible and was designed to work on the “write once, run anywhere” principle. Java apps are designed to run on a Java virtual machine (JVM) when compiled. Any computer, device or platform which have JVM installed can run a Java app without it being altered or recompiled. Java is an object-oriented programming language that consists of many modern features.

Because of these features company like Google used Java as the core basis of Android. Java is the primary way to create true “native” Android apps. Apps that are written in Java have the fastest performance, tightest integration and APIs and easier access to underlying features.Java is not an easy language for many developers to pick up especially for those who are coming from a career in web development.

Application Development in Java:

Java comes with a vast ecosystem and there are more than 9 million Java developers worldwide. Java is not a simple language but you don’t need to write Java programs from scratch. There are many Java frameworks that can be used to write web and mobile applications, microservices, and APIs that run on the Java Virtual Machine.

Java frameworks consist of basic functionality like making database connections or handling exceptions. All Python vs Java frameworks use the same syntax and work with similar terms, paradigms, and concepts.

Some of the frameworks are:

  • Spring framework:

Spring Framework is a powerful lightweight application development framework that is used for Enterprise Java (JEE). The core feature of the spring framework is that it can be used in the development of any Java application. It can also be described as a complete modular framework. Spring and all the modules including  Spring Core, Spring Security, Spring ORM, etc are being used in enterprise applications.

  • Hibernate:

Hibernate ORM is a stable object-relational mapping framework for Java and Hibernate makes better communication possible between Java and Relational Database Management systems (RDBMS).

When you work with an object-oriented language you can face a problem called Object-Relational Impedance Mismatch also called Paradigm Mismatch. This problem occurs because Object Oriented languages and RDBMSs handle the data differently which can lead to many mismatch problems. So Hibernate provides you a framework that overcomes the mismatch problems.

  • Struts:

It is a Java web application framework that is maintained and developed by the Apache Software Foundation. It allows developers to create enterprise-level Java applications that are easy to maintain.
Struts plugins are basic JAR packages that’s why they are portable, Some plugins are bundled with the framework (JSON plugin, REST plugin, Config Browser Plugin, etc.). Developers can integrate Struts with other Java frameworks to perform tasks that are not built on the platform

  • Google web toolkit [GWT]

Google Web Toolkit (GWT) is an open-source framework from which developers can write client-side Java code and establish it as JavaScript. Many Google products are written using Google Web Toolkits such as AdSense, Google Wallet, and Blogger.

Developers can easily code complex browser applications by using Google Web Toolkit. Google Web Toolkit also allows the developer to develop and debug Ajax applications in Java.

  • JavaServer Faces [JSF]

JavaServer Faces (JSF) is developed for building user interfaces for Java-based web applications. It’s a pretty stable framework and developed by oracle.

JavaServer Faces is a component-based UI framework. JavaServer Faces is based on the MVC software design pattern and it has an architecture that defines a distinction between application logic and representation.

 Python:

Unlike Java or other languages such as C, Objective-C, Python is an interpreted language. In other words, we can say that rather than compiling the completed code into machine-language instructions like java and other programming languages, Python code is executed by a Python interpreter.

Android does not natively support Python apps because of python interpreted nature. There are various frameworks available that allow Python apps to be interpreted and run on Android. But because it is not the native development environment as Java counterparts Python apps always don’t have the same level of system access. Python appeals to many developers to pick up especially for those who are coming from a career in web development. Python is an interpreted language so this gives Python apps an even greater degree of portability than Java.

Application Development in Python:

Python is a high-level dynamic programming language and is used in several application domains. It is easy to learn, understand and implement. Python consists of enhanced libraries, and python is appropriate for a small and vast scale web development projects. Python developers are in huge demand in different industries such as machine learning, databases, cloud infrastructure, web scraping, security, mobile development, APIs, design, data analysis, webpage reliability/testing, etc. The Python developers have knowledge in many frameworks and they have many years of experience so they can able to provide the best python development services at an affordable cost. Most people prefer Python because it is simple and reliable which helps you to work more quickly and provides an interactive environment.

There are many frameworks available that can be used for python application development. Some of them are:

  • Django:

Django technology is simply efficient to build complex data-driven sites. This platform is much advanced with attributes including libraries, templates, and APIs which support the development of scalable web development projects. Django platform is used in Python-based apps and is used in several popular websites such as Instagram, Pinterest, Bitbucket, Nextdoor, etc.

  • TurboGears:

TurboGears is comprising of Web Server Gateway Interface (WSGI) elements, including SQLAlchemy, Repoze, WebOb, etc.TurboGears is worked around MVC architecture like Ruby on Rails (RoR) or Apache Struts this supports rapid web application advancement. This web framework act both as a full-stack or microframework solution, with MongoDB as first citizen storage.

  • Numpy:

Numpy-Numeric Python is a library that assists in performing scientific and logical activities on arrays and Numpy library is available with multidimensional arrays of objects, collection of routines for processing the arrays. Numpyenriches offshore python development with tools and powerful data structures that ensure high-performance.

  • Pandas:

Pandas is an open-source Python library that gives simple to utilize data structures and data analytics tools. The technology is used in academic and commercial domains which also includes finance, economics, analytics, statistics, etc.

  • Matplotlib:

Matplotlib is available with object-oriented API which enables embedding of plots into the application. The library is also supporting in making 2d charts by using a python script. It is like the GUI toolkit that further support an assortment of plots and graphs including histogram, power spectra, bar charts, error charts, etc. The library contains a module named Pyplotwhich makes plotting simple with attributes like color line styles, formatting axes, font properties, etc.

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