Flutter Vs React Native for developing cross platform applications

Mobile applications are becoming a phenomenal success in the modern world and therefore, many IT organizations are working on developing highly-efficient mobile apps. 

With over 3.6 million mobile users globally, the mobile app development demands innovative solutions that are time-efficient and require less effort. In 2022, there will be two fundamental hybrid frameworks for app development frameworks – Google’s Flutter and Meta’s React Native. 

And both these frameworks are enjoying a high wave of popularity. Given the incredible supportive features of these two frameworks, one question keeps floating in the app development realm: which one is the best framework for mobile app development – Flutter or React Native? 

This blog aims to give more clarity to developers about which framework is the best suited for mobile app development. 

Without any further ado! Let’s get started!

What Is Flutter Framework?

Google’s official brainchild, Flutter, is a cross-platform UI toolkit for developing robust, beautiful, native-complied applications. This platform can power various platforms web, desktop, and mobile applications. 

Launched in May 2017, the popularity of the Flutter framework has grown immensely over the years. One of the most attractive features of Flutter is that it allows cross-platform application development using a single codebase. With a conventional app development ecosystem, a company would need several tools and an intricate team of developers to create an application that would run on the web, mobile, and desktop.

For example, with traditional, you might require:

  • A developer with web development expertise using React to develop the website
  • Another developer developing a desktop version using C# and Java 
  • For mobile applications (iOS and Android) development, a dedicated mobile developer utilizing native frameworks such as Kotlin and Swift 
  • This traditional approach would require a complex collaboration between a team of expert app engineers and surely a ton of meetings to ensure consistency is maintained across all platforms. 
  • And you can’t skip the elaborate testing and addressing bugs individually for each platform. 

Flutter eliminates all these complexities. Companies can easily hire one qualified Flutter developer to develop apps across multiple platforms with just a single codebase to manage. 

While Flutter offers several benefits, time and resource efficiency for launching and maintaining an application remains the shining star. 

Now that we know what Flutter framework is, let’s focus on an interesting fact about the framework:

  • Almost 2 mil developers trust and use Flutter for cross-platform app development. 500,000 developers use it monthly! 

When to Use Flutter?

Flutter can be extremely beneficial in the following situations:

  • Small budget projects
  • Applications with short development and quick delivery timeline
  • Creating UI-centered apps
  • Iteration (Hot Reload)

 Benefits of using Flutter framework for app development

Flutter framework for mobile application development comes with several advantages, including:

  • Flutter is platform-agnostic
  • Flutter simplifies and speeds application development
  • Flutter is simple to grasp and easy to use
  • Flutter scales well
  • Flutter apps offer an excellent user experience

That’s a comprehensive overview of the Flutter framework. Now let’s take a look at React Native. 

What Is React Native?

Meta’s official cross-platform framework, React Native, is supported by a codebase in JavaScript programming language, making it fairly simple to use for cross-platform application development. Therefore, JavaScript developers get a low barrier to entry in the mobile application development realm. 

Web development isn’t a new or unexplored paradigm. It’s a technical development discipline that has existed for many years. Most web engineers have significant experience in using JavaScript for much of their careers. 

However, mobile development is relatively new. In fact, the mobile app development ecosystem has witnessed popularity and growth only over the past few years. Therefore, if developers are already experts in JavaScript, the learning curve for robust mobile app development using Meta’s React Native becomes relatively easy.

Industry leaders such as Xbox Store apps are trusting the React Native platform for their mobile application requirements. Similar to Flutter, React Native enables cross-platform app development using a single codebase.

When Should You Use React Native?

React Native framework can be worthwhile to explore in the following situation:

  • An application requiring flexible and custom design without losing consistency on cross-platform interfaces.
  • When you need both web and mobile applications, React Native allows code sharing between web and mobile interfaces. 
  • When your development team has gained extensive expertise in JavaScript

Benefits of React Native:

Meta’s official app development platform presents a treasure trove of benefits, including:

  • Extensive base packages since it uses the immensely popular JavaScript language
  • Similar to Flutter, a single codebase enables developers to engineer an app for multiple interfaces simultaneously rather than individually.
  • Extends significant developer freedom and flexibility as it allows code reuse and cost-saving
  • An active and vast community supporting the framework 
  • Easy learning curve for React developers

Both React Native and Flutter are cross-platform app development frameworks. So what’s the difference? Let’s find out!

React Native Vs. Flutter

React Native and Flutter are the most preferred app development tools. However, both these frameworks have their own set of advantages and drawbacks. The table below represents the differences between the two platforms.

Parameters Flutter React Native
Parent Company Launched by Google Launched by Meta (formerly Facebook)
Launched on May 2017 June 2015
Backend Programming Language Dart language JavaScript 
Architecture Business Logic Component (BLoC) Flux and Redux architecture. Facebook engineered Flux. Redux is the preference among the React Native community.
User Interface Leverages custom widgets to engineer the application user-interface Leverages native UI controllers to engineer the application user-interface
Documentation Support Presents well-structured and elaborate documentation. Developers can access all required information in one single place. Presents user-friendly but unstructured documentation
Performance Delivers fast-performing applications, and enables application compilation by using the arm C/C++ library making it more aligned to machine code and empowering better native app performance Comparatively, app performance is slow. With React, developers sometimes face certain problems while executing the hybrid application framework.
Testing Presents an ensemble of testing features allowing developers to perform several types of testing including unit, integration, as well as widget testing Leverages third-party application testing tools
Community Support Comparatively less community support since it’s relatively new  Backed by very strong community support providing quick resolution to queries and concerns
Industry Adoption Google Ads

eBay

Hamilton

Alibaba

BMW

Facebook

LinkedIn

Tesla

Instagram

Coinbase

Skype

Learning Curve Comparatively, easier to learn and more developer-friendly. Dart programming language is much simpler to work with and understand compared to JavaScript. Dart also has striking similarities with programming languages used for native mobile app development. JavaScript, on the hand, is far from being a developer-friendly programming language. For developers without experience in working with JavaScript, using React Native can be a challenging task presenting unnecessarily complicated coding. However, it’s an easy task for JavaScript experienced developer to use React Native. 
Debugging Enables easy debugging with tools that support development in both Android Studio and Visual Studio. DevTools and OEM Debugger help developers identify and comprehend errors.
Also supported by Inspector, which allows checking the visual layer of the app and clearly answers why it looks the way it looks
Debugging can be slightly problematic in the React Native framework, especially when a particular exception or error originates in the native part of the application. However, Flipper (debugger) has efficiently addressed the problem of debugging for React Native.

Which One Should You Choose?

The latest research from Statista in 2021 reveals the popularity of both the app development framework. Flutter leads the graph for cross-platform mobile development framework in 2021. The Google brainchild surpassed React Native by 4% (42% for Flutter framework against 38% for React Native). 

Image source: Cross-platform mobile frameworks popularity among software developers worldwide from 2019 to 2021 (Statista)

Still, it’s only fair to say that two frameworks are almost equally popular in the development realm compared to other similar platforms. Both Flutter and React have their benefits and drawbacks. The correct selection should be based on your experience and the individual app development goals and requirements of your project.

If you are already experienced in JavaScript, writing mobile apps codebase in React Native is a simple job. However, if you’re more interested in better performance, enhanced stability, and a more cohesive environment between different ecosystems, Flutter is worth exploring.

 

Low-code Vs. No Code application development

The application development domain is evolving with leaps and bounds. And the two technologies currently stealing the spotlight include low-code and no-code app development. With several similarities between no-code and low-code application development, it is easy to confuse both terms. 

In this blog, we’ll dive into the details of low-code and no-code application development and discuss the difference between the two. 

Let’s get started! 

What is low-code Development?

  • Low-code application development involves constructing an application without the aid of complex software programming. 
  • These tools include drag-and-drop, automatic generation and editing tools, making it easier for software engineers to develop applications. 
  • This solution is applied in developing websites, mobile apps, and other computational applications that use different operating systems as well as devices with or without internet connections.
  • Low-code application development gives developers the ability to create a customized program that works with their customers and business goals. This means you can develop apps that are easy to use, save time and money with minimal effort, and more importantly, highly accurate.

You’ll just need to consider three things for application development using low-code technology:

  • Anyone working in the IT domain or enterprise can develop web and mobile applications, given that they dedicate a particular amount of time, have interest and minimum technical aptitude. 
  • Moreover, any active application will require periodic updates and regular maintenance, so developers need to invest time for consistent post-development support. 
  • Finally, developers should have a clear understanding of the app utilization and how it’ll support a company’s goals, business priorities and integration into existing workflows.

What is a low-code Development Platform?

If you’re a developer, then you know how hard it is to manage all of the different application development tools and platforms. You have to keep up with new updates, be aware of security threats, and make sure that you know how to use everything in your toolbox.

But what if there was a way for you to use the same tools with different teams? What if you could build apps that are more flexible and powerful than ever before?

That’s what low-code development platforms do!

  • A low-code development platform is a web-based application that allows you to create applications without hard-core coding. 
  • They use a graphical user interface (GUI) or web-based interface to allow developers to build apps without having to write code or learn how to program.
  • The platform is typically built on top of an existing framework, such as Ruby on Rails or Laravel, that handles the back-end logic. 
  • You just need to write your UI (user interface) in HTML, CSS, and JavaScript.
  • Low-code platforms are often referred to as “drag-and-drop” platforms.
  • Low-code development platforms are softwares that are designed to help developers create applications quickly and efficiently. 

Who can benefit from low-code app development platforms?

  • Low-code development platforms are mainly used by non-technical teams or individuals who want to build an app but do not have the time, experience or skill set to develop it themselves.
  • It’s also a good choice for companies that have existing code bases they want to integrate with and reuse but don’t want to spend the time and money recreating everything from scratch.
  • This can even be a great option for developers who want to learn how to code but don’t want to build everything themselves. 
  • They can also be used by small businesses that want to create their own apps but do not have the budget for more expensive options like full-stack development platforms.

What are the benefits of low-code development?

  • Easy and efficient – It is easier to create an ‘interactive’ application as it can be created without having to write extensive code. It is also efficient because you do not have to write all of the code for your application.
  • Fast prototyping – It takes less time to develop prototypes as you don’t have to write all the application logic in your first iteration. This helps you test your designs faster and validate user feedback quickly before spending more time on design details.
  • Less waste – No more wasted effort writing boilerplate files or making small changes over and over again until something works properly!
  • Accessibility – You don’t have to worry about hardware requirements or server setup – everything runs straight through your browser!
  • Less complexity – It also uses an approach called “single-page” design, which means that each page of your application functions as a standalone entity rather than as part of a larger whole. This allows you to focus on only one thing at a time and gives your users (or potential customers) the impression that they’re interacting with one unitary system rather than several different ones.
  • Easy maintenance – Low-code development means that your application will be easier to maintain in the long run because it won’t require as many updates or changes over time. 
  • Affordable – The cost of creating and maintaining these types of applications is much lower than traditional applications because there is no programming involved.
  • Easy to deploy – Low-code applications can be easily deployed on cloud platforms like AWS or Azure.
  • Efficient market expansion – Low-code applications are more flexible and customizable, which means you can easily distribute them to different users, locations, or platforms. This makes it easier for your business to expand into new markets and services.

All these benefits ultimately mean less work for you, which translates into happier clients and happier employees!

No-Code Application Development

  • No-code application development is a methodology that allows businesses or developers to build their own applications without having to write any code. In other words, you don’t have to write any Java or other programming languages in order to create applications for your own business or organization. 
  • Instead, you can use existing programming languages and a combination of tool sets to build the apps you need without having to learn how to program in those languages themselves. This includes tools like Microsoft Visual Studio or Adobe Photoshop. It can also be built using some third-party tools such as NetBeans or JDeveloper.
  • These include visual designers, code generators and other tools that allow the team to build software without writing any code. 
  • It’s an approach that has been used for decades, and it works for many different kinds of software applications. In fact, it’s often the only way to build complex applications without using any code at all.

Why is this so important? To understand the answer, let’s explore the benefits of no-code application development. 

What are the benefits of no-code application development?

  • Convenient – There are no limits on what kind of business you can develop with this method because there are no restrictions on the types of applications that can be made using no-code application development methods. 
  • Efficient – You don’t have to worry about whether or not your custom-built software will work on different platforms like Windows phones or Mac computers; instead, all platforms will work with each other because they are all based on the same underlying platform.
  • Affordable – It’s not just about convenience; it’s about cost savings for small businesses and organizations who don’t have the resources or expertise needed to develop an application from scratch on their own.
  • Time-saving and easy – No-code application development can also help you cut down your time to market and reduce costs by eliminating the need for multiple developers. 
  • Less prone to error – This is a way to develop applications that can be executed on existing devices, with existing interfaces, using existing systems and databases. This means that your app is more likely to be bug-free and have fewer bugs coming out at launch time. 

The most common types of no-code applications include:

  • Mobile apps
  • Web apps
  • Desktop apps
  • ERP systems

What is the difference between no-code and low-code application development?

Before you start your next project, you should know the difference between no-code and low-code application development.

No-code development Low-code development
Development Principle The application development process that uses a visual interface to guide the user through the application’s functions An approach to building applications that emphasizes the use of structured code, which makes it easier to create programs with less effort
Coding requirement Does not require any programming knowledge Can be created by anyone who is comfortable with a coding language such as HTML or JavaScript 
Users Best for developing applications by business users or citizen developers Best for developing applications by a developer with minimal professional coding knowledge
Project Type Simple applications, especially departmental applications Critical, sophisticated solutions with strategic goals
Code customization Not possible to incorporate Adding custom code is possible when necessary
Use cases Can be used for developing applications for the following functions:

  • Order management
  • Budget approval
  • Resource onboarding & deboarding
  • Scheduling
  • Leave approval
Can be used for developing applications for the following:

  • Client and partner apps and project management portals
  • Sophisticated internal business applications
  • Business process automation
  • Obsolete and end-of-life application upgradation.

Similarities between no-code and low-code application development

  • You don’t need to know much about coding or programming to build applications.
  • It’s possible to build complex applications without having extensive technical knowledge. 
  • The typical user interface is simple enough that even non-programmers can use it easily.
  • The cost of creating an advanced web application is much lower than building a desktop application because you can reuse most of the code across multiple platforms (web, mobile, and desktop).
  • Both are faster and cheaper than high code development.
  • Low-code and no-code applications are easier to maintain than high-code applications.
  • Both no-code and low-code applications need less time for testing because the developers don’t have to write any tests for them.
  • There is no need for manual QA testing in no-code, as well as low-code development because everything is automated.

Frequently Asked Questions

Q: What is low-code?

A: The low-code platform is a software development process that focuses on creating applications with less code.

Q: How does low-code development work?

A: Low-code applications are created by using a visual design tool and writing just the code needed to implement the logic in your application.

Q: Is low coding easy?

A: Yes! You can create an entire application without writing any line of PHP or HTML. You just need to drag and drop different components onto the page and connect them together using links, paragraphs, and notes.

Q: Are low-code applications the same as minimal UI apps?

No, they are not. Low-code applications are complex applications that do not require a UI for users to interface with.

Q: How do I develop low-code apps?

A: You can develop low-code apps using any of the following ways:-

1) Using the drag-and-drop method

2) Using the drag-and-drop method with an automatic data import tool

3) Using visual programming tools like App Inventor, PhoneGap, etc.

Q: How does low-code application development differ from high-code application development?

A: A high code application development uses a programming language that is more complicated than JavaScript, such as C++ or Java, which allows the developer to implement advanced features in their applications, such as animations and user interface components that are not possible with JavaScript alone.

Q: How does no-code application development work?

A: When you use a programming language like Java or JavaScript, each function gets its own file that contains code and instructions on how it should run. With no-code application development, you write your code in plain English instead of code so that anyone can read and understand it. This means that there’s no separate file for each function in your program; instead, all of your functions are combined into one big file called a class or package. 

Q: Is no-code application development faster than traditional coding?

A: Yes! No-code apps can be built much faster because there’s no need for any external tools such as IDEs (Integrated Development Environments). In fact, many new tools have been developed specifically for this purpose so that you can spend less duration writing code and more time building great apps.

Q: Why do you need no-code application development?

A: There are several reasons why you should consider using no-code application development:

1) You want to save money on the initial cost of your project.

2) You have a limited budget for your project, and you don’t want to spend more than necessary.

3) You want to get something done quickly without having to spend time learning how to code.

Q: How long does it take to learn no-code?

A: It depends on your background and experience, but it typically takes about 1-2 weeks. Most of the time spent will be spent learning about frameworks and practices, which are the same for both no-code and traditional agile approaches.

Conclusion 

If you’ve ever tried to develop an application using web technologies, you’ll know it’s not an easy task. Code needs to be written in different languages or programming frameworks, and it becomes difficult to manage code when you’re building large applications.

With no code and low-code application development, programming is simple, making it easy for even non-programmers to create powerful web applications. It doesn’t matter if you’re a coder, a marketer, a designer, or an entrepreneur – with these technologies, you have the power to build an application today!

 

Python or Java: Which is superior?

In the 21st century, programming is the backbone of technology. Programming language encompasses a collection of instructions, commands, and codebase to design an application or software program. 

Programming languages are a vital component of application development. Just like a carpenter, mechanic, architect, etc., have their own specialized toolset, programming languages are essential tool sets for software developers. 

However, with advancements in the software development paradigm, several programming languages are becoming popular. Which programming language should you choose? Answering this question can be an overwhelming task. 

This blog will discuss the two most popular programming languages: Python and Java. 

The Programming Languages Wearing The Crown

In the software development world, the scope, importance, and scalability of Java and Python require no formal introduction. 

However, there is an ongoing battle between Python and Java to understand which one is superior. While Python is relatively new in the application engineering domain, it has made rapid progress in the past few years. On the other hand, Java is an old player and retains its glorious position.  

To give a quick introduction, Java is a compiled language. Therefore it is a relatively faster and more efficient programming language when compared to Python. Python’s USP is that it has simpler, more concise, and easy-to-understand syntax than Java. It helps developers to design the same functionality using fewer lines of code than Java. 

Java vs. Python: A Comparative Analysis

Performance

Bytecode compilation is a similarity between the two programming languages : Java and Python. Therefore, both languages support cross-platform development without any difference between operating systems. 

Although both programming languages are used for cross-platform development, there are certain differences between the performance of these two programming languages. 

  • Java features a static-typing syntax. Static typing syntax enables a simpler and faster compilation when compared to dynamically typed syntax. Therefore the developed software product has less susceptibility to bugs or errors and delivers smooth performance. 
  • Another winning point for Java is that it is integrated with a Just-in-time (JIT) compiler. With the support of this compiler, the bytecode is directly bundled into the native machine, allowing direct calling of the compiled code.  
  • Such advanced functionality is the primary reason for the agility and efficiency of this programming language.

However, Java has one drawback. The codes are generally long, therefore, sometimes tough to understand. 

  • Python uses dynamic type syntax, which isn’t as compatible to align with various platforms. 
  • Additionally, Python supports runtime testing of the codebase. Any complication with the program or codebase may require holding the entire application. 
  • All of these variables in the Python programming language lead to reduced speed and efficiency. 

According to the TIOBE Index, August 2021, Java was stealing the show as one of the top-performing programming languages. And Python was in 3rd position. However, in 2022, Python gained immense popularity and jumped to the first position in the TIOBE Index, 2022. 

Python now enjoys the highest market share with a greater than 15.42 % rating. Java, on the other hand, moved to third position after C and received a rating of 12.40 %. The popularity of Python is mainly because it requires much less coding to perform the same function as Java. 

Syntax

  • As discussed previously, Python is a dynamically-typed software development language. It doesn’t require stating specific variable types because checks are made during the runtime. This leads to a simpler syntax with a close resemblance to the English language. 
  • Additionally, you don’t need to use enclosing braces in Python. The language strictly follows the indentation rules. Therefore the overall code becomes easy to read and understand and beginner-friendly.
  • With Java, you’ll need to comply with strict syntax rules. The language is statically-typed. Here declaring the variable types is specifically necessary. In the case of any abnormality, the code will not compile.
  • Although the statically-typed language is not beginner-friendly, many developers enjoy the comfort of clarity. It can be difficult to follow indentation rules in Python for large codebases. 

Machine Learning

With the advancement in technology, machine learning has become an essential element of programming languages. With machine learning, developers and analysts derive important insights through predictions using appropriate data sets. 

Implementing machine learning algorithms can sometimes be tricky and challenging because it requires certain practical and theoretical expertise. 

  • As we have mentioned before, from the syntax perspective, Python is relatively easy. Therefore developers from various backgrounds choose Python as their preferred machine learning implementation language. 
  • Python gives the flexibility to experiment with machine learning and utilize it in various application development specialties/domains. The features of Python-powered adaptation and implementation of machine learning open a wide array of opportunities for organizations. 
  • The Python Library is vast and allows easy access for further development. 
  • However, Java has its unique set of capabilities for supporting machine learning implementation. Easy debugging and usage makes Java suitable for large-scale operations and developing enterprise-level software. 
  • Some common libraries used by developers in Java include Weka, Mallet, Deeplearning4j, and MOA.

When it comes to machine learning implementation, some software engineering individuals consider it outdated. This is mainly because of its complex syntax. However, it is still widely popular as compared to other programming languages. 

From the machine learning perspective, Python offers greater functionality to the developers and therefore enjoys more credibility. 

Web Development

Backend web development is concerned with writing server-side code. Developing your own backend technology is not just extremely challenging but also time-consuming. You need to focus on every aspect, starting from security to reliability and performance. 

To make backend development easy, developers crafted frameworks that enable backend web development without reinventing the wheel.

  • In Python, the popular frameworks for backend development include Django and Flask.
  • Flask is a simple micro web framework. It offers you the fundamental functionalities you’d require for software development, such as routing requests, without much overhead. 
  • Django, on the other hand, is a more feature-enriched framework. It allows the development of a powerful backend web application while capitalizing on product efficiency and security.
  • Django features a powerful ORM layer that enables smooth interactions with databases and performing various operations on the data.

Spring is one of the widely-popular backend web development frameworks in Java. The best part is that it’s supported by an incredible ecosystem and a massive community. Leading enterprises such as Dell, GE, etc., leverage Spring framework for Java-based backend web development. 

While Spring might not be as popular as Django in the current market, it is still widely used for developing enterprise-level applications. 

Use Cases

Both Python and Java are used widely for developing various types of software and applications. When should you use each of these programming languages for different programs or product development?

When To Use Java?

Java is suitable for the following development: 

  • Highly functional and efficient mobile applications 
  • Desktop GUI Apps
  • Middleware Products 
  • Enterprise Software Solutions and Embedded Systems 

When To Use Python?

Python, on the other hand, offers an exceptional solution for the following developments:

  • Game development
  • Language development 
  • Prototyping  
  • Image processing and creative or graphic designing 
  • Machine Learning Applications
  • Operating System frameworks

Benefits: Python Vs. Java

We have compiled a concise list of benefits for Java programming language and Python.

Java

  • Safe and secured: Java doesn’t rely on explicit references. It operates in a virtual server known as a ‘sandbox.’ The virtual server leverages a bytecode verifier to detect unlawful programs. It offers additional security to the entire Java package. 
  • Object-oriented: Java supports a more logical approach for large, enterprise-level project development. Using Java, you can develop categories that encompass data, entities, and methods. Apart from that, it also allows code reusability, easy adaptability, and simple troubleshooting. 
  • Multi-threading: Java allows the simultaneous execution of several threads. To enhance efficiency and speed during multiple-thread execution, they function on shared memory space.

Python

  • Empowers advancements: The dynamic-typing functionality makes Python a user-friendly programming language. Besides, the parallel programming enables independent code operation to address issues and bottlenecks more seamlessly.
  • Greater Flexibility: Python supports a wide array of programming concepts, allowing a more flexible and efficient strategy for code development and application engineering. This makes it ideal for start-ups and small enterprises that might require to quickly switch strategies for scalability. It is also great for engineers who want flexibility.
  • Enhanced efficiency: The dynamic typing and simple syntax make Python more productive. The easy access system and control functionalities are added benefits. 
  • Comprehensive libraries: The comprehensive libraries are capable of handling numerous common operations and commands. Plus, Python has code for performing innumerable tasks, such as developing documentation and CGI.

Java Vs. Python: Comparison At A Glance

The following table summarizes the key differences between Java and Python.

Parameters Python  Java
Syntax      The learning curve is simple Complex understanding. Takes time to adapt
Performance Comparatively slower than Java Considerably fast since it is a compiled programming language
Backend frameworks Django (feature-rich) and Flask (micro-framework) Spring
Game Development Engines Cocos, Panda3D MonkeyEngine
Cross-Platform Yes Yes, supported by JVM
Industry Examples  Quora, Instagram, Meta, Pinterest, Google           Uber, Spotify, Netflix, Minecraft
Machine learning libraries Tensorflow, Pytorch Weka, MOA, Mallet, 
History Developed by Guido Van Rossum in the late 1980s, Python1.0 was released in 1994. In 1991, initially started as a project called ‘Oak’ by James Gosling. 1995 witnessed the first implementation of Java 1.0.
Syntax Style- Semicolon No semicolons needed A semicolon must be present at the end of the line.
Indentation Extremely significant. The program won’t compile without accurate indentation.  Indentation does not influence the compilation of programs.
Practical Applications Used in applications including data analysis, scientific computing, big data, implementation of machine learning, and artificial intelligence. Ideal for developing e-commerce platforms, android applications, network security, financial software products, fraud detection, and desktop applications.
Code Readability Focuses on code-readability, thus maintaining a clean and concise code base.  Requires efforts to focus on better code readability.

Frequently Asked Questions

Which is Superior- Java or Python?

Both programming languages have their unique set of benefits and disadvantages. Both have different practical applications. So it ultimately depends on what you desire to develop and your development goals.

Is Python Easier than Java?

Python is definitely beginner-friendly since it has a simpler codebase. One of the vital reasons that make Python easy is the readable, English-like syntax. Java, on the other hand, has a steeper learning curve.

Which is faster- Java or Python?

Java is powered by a JIT compiler giving it better performance than Python. 

Should I Choose Python or Java for Backend Development?

Python can be learned and understood easily. Therefore, you can get up and running on backend web development comparatively quickly. However, if you’re looking for long-term performance in complex applications, Java is the ideal choice. 

Which Pays More- Java or Python?

The median salary range for both Python and Java developers is approximately the same. Python developers’ average salary is approximately a median of $97,000, while Java developers get a median of $96,000 in the US.

Should I switch from Java to Python or vice-versa?

Currently, various opportunities are available for both Java and Python developers. Unless you have a specific goal or interest, switching isn’t necessary. 

Wrapping Up

Java and Python are both incredibly capable and extremely popular languages. Therefore, you will never find a lack of resources once you choose a particular language and embark on your development endeavor. Defining your goals and understanding what you want to achieve can help you select a particular language. Share your thoughts in the comment section.