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Python or Java: Which is superior?

Posted on November 3, 2022November 4, 2022 by nemo job

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.

Java v/s Python: Key differences

Posted on November 3, 2022November 7, 2022 by harsha satyakam

Programming is the pinnacle of technology, and every company invests in software solutions. There has been no better time to become a developer, but which programming language to choose? Java and Python are popular programming languages with a wide range of applications. While Java is the faster language between the two, it can be challenging to learn for a beginner. Python’s simple learning advantage is shadowed by its slow performance.

Each programming language is well-established, platform-independent, and has a large supportive community. However, the similarities end here, and each language has its different use. This article covers the Python versus Java differences in detail. Let’s take a closer look at each language’s pros, cons, and scope.

Java: Introduction

Java has been around since 1995 and is one of the most popular programming languages for enterprise software development. As a general-purpose, object-oriented programming language, Java is compiled, unlike Python, which is why it’s faster.

Java code gets directly converted into machine code without needing a compiler, making it quick and efficient. It also gives better control over hardware aspects like CPU usage. For years, Java has been widely used for big data, web development, and android app development, but now it is also gaining traction in the cloud and the Internet of Things development. NASA, Google, and Facebook are some companies that build their products using Java.

Python: Introduction

Guido van Rossum created Python in 1991. His focus was on creating a more readable programming language. This simplicity of learning is one of the driving forces behind the popularity of Python. Due to its more concise syntax, it is easier to code and test programs in Python than in Java. It supports a variety of programming styles giving developers the freedom to follow their own choice. This is why Python is suitable not only for object-oriented programming but also for reflective and functional programming.

Python is highly popular among backend and app developers and is the preferred choice for data science and machine learning applications. The availability of extensive libraries like Scikit-learn and Pandas is why it is used in some of the most significant applications such as Google Search and YouTube.

Key Differences between Java and Python

1. Speed

Speed and efficiency are the two biggest reasons to use Java for application development. As many of the processes of Java run automatically, you don’t have to micromanage how everything works. It is a high-level language and uses automatic memory allocation.

Because of its dynamically typed and interpreted nature, Python executes the code line by line, making it slow. The extra work this programming language does when running code makes it less suitable for applications requiring speed and performance.

2. Versatility

It is challenging to match Python’s versatility for Java. Java indeed finds more adoption for enterprise application development, but Python offers so much flexibility that it encourages open experimentation. Programmers love Python because it allows them the freedom to build more versatile applications. Python is the most suitable language for you if you want to do many things without worrying about speed. According to Computer Weekly, “Although there might be a better solution for any given problem, Python will always get the job done well.”

3. Syntax

Java is a strictly typed language. Developers have to explicitly declare variable types, which is not easy for beginners. The statically typed nature of Java makes it difficult to learn. Here is an example of Java code syntax:

public class Fruit {

String name;

String color;

public Fruit(String name, String color){

this.color=color;

this.name=name;

}

public void myfunction()

{

System.out.println(“Hello I’m a :” +name);

}

public void mycolor()

{

System.out.println(“Hello my color is:” + color);

}

On the other hand, Python is a dynamically typed language that does not require explicitly declaring variables. The variables are interpreted at the run time. This freedom makes Python syntax more like the English language. Here is the example of Python syntax for the same class we defined above in Java:

class Fruit:

def_init_(mysillyobject, name, color);

mysillyobject.name=name

mysillyobject.color=color

def myfunction(abc) :

print(“hello I’m a “+ abc.name)

def mycolor(abc) :

print(“hello my Color is ” + abc.color)

p1 = Fruit (“Apple”, “red”)

p1.myfunction()

Conclusion

Java and Python are capable and popular programming languages. Whichever programming language you choose, there are enough tools and community support available to help you along your journey.

As a beginner, your focus should be on learning and building things as soon as possible. For this, Python is the most suitable programming language because of its easy-to-follow syntax and availability of extensive libraries. However, if your end goal is to build enterprise-level applications, Java offers scalability, security, and speed.

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3 reasons why you should learn multiple programming languages

Posted on September 28, 2022September 29, 2022 by seoteam

How often do you find yourself arguing which programming language is superior? In today’s world, when the software industry is experiencing an influx of so many technologies, it is a futile attempt to side with a particular programming language. Experts believe that an average developer must know at least three programming languages.

Therefore, if you wish to become a successful programmer, you must learn more than a single programming language. You can start with any language of your choice, and as you master its concepts, you can proceed to learn more programming languages that will further your career.

At Talent500, when vetting developers to join global companies, we evaluate their skills, not on single but multiple technologies. For instance, a front-end developer must know HTML, CSS, JavaScript, and other JS frameworks. In contrast, a back-end developer should learn scripting languages like PHP, Python, Ruby, APIs, and JavaScript. It is essential as Fortune 500 companies and fast-growing startups want candidates with a broad skill set. To know more, join us.

In this article, we are sharing important reasons why a developer should learn multiple programming languages.

1. Learning multiple languages help you expand your horizon

A programmer working with multiple languages never suffers from tunnel vision. The more programming languages you know, the more benefits, drawbacks, similarities, and differences appear.

A common problem with programmers who only work with a single programming language is that they only find a particular way of doing things as the “right way” or the “best way,” when certainly, in software development, the same problem can be solved with several approaches.

For instance, in the example below, both JavaScript and Go take wildly different approaches toward error flow:

// JavaScript

try {

doSomethingDangerous()

} catch (err){

console.log(err)

}

// Go

err := doSomethingDangerous()

if err != nil {

fmt.Println(err)

}

It’s hard to argue which approach is better here as both have applications in different scenarios. While the JavaScript approach is better for browser rendering, Go offers a better approach to use in enterprise software.

When you learn multiple programming languages, you develop a deeper understanding of each technology and are better positioned to use the best technology for the job.

2. Your skills never get outdated

When you follow a trending tech to upskill, you are risking your progress. With programming skills, you never know when a change will render the skill redundant. For instance, Flash was once a major force in web development. Still, it is an outdated technology today as HTML5 and other web technologies have made it easier to use multimedia on web pages.

In the software development industry, it’s challenging for a programming technology to remain in power. If you are a developer with skills in only one language, you can find it hard to be adaptable to the changing needs of the industry. When you have multiple programming skills, you are a versatile candidate and will get far more opportunities than programmers who only know a single programming language.

Another reason to keep learning new programming languages is that it opens up more options for moving up in your career. Suppose your company decides to bring in new technology or change course. In that case, if you are already skilled in that particular opportunity, you will be in a position to negotiate better promotions and benefits.

Learning more programming languages makes you a versatile developer, and your skills never get outdated. You adapt to industry changes quickly and keep finding varied and fresh job opportunities.

3. Better salary increment potential

Monetary gain is one of the essential motivators for learning new skills. And it’s true that the more programming languages you know, the more money you will make. According to Pluralsight, most companies are looking for developers who can work with more than one technology and are willing to pay more than average developers.

Mary Branscombe, a technology journalist with Pluralsight, says, “…companies are prepared to pay more to get someone who can switch between projects and has three or four programming languages at their fingertips. They’re prepared to pay up to a year more for developers who can work in multiple languages.”

Taking an industry example, YouTube is a product company that uses a stack of different programming languages to offer its services. For the front-end, it uses JavaScript, its back-end is built using C, C++, Python, Go, and Java, and for the database, it uses Bigtable, Vites, and MariaDB.

The same is with every other big tech company – Google, Twitter, Netflix, Facebook, Dell, etc. – they all use multiple technologies in their products. Engineers working with these companies and drawing huge paychecks are expected to know various programming languages.

Conclusion

If you are not compelling yourself to learn new programming skills, you are limiting your growth and risking becoming obsolete. We hope this guide will help you understand why learning multiple programming languages is necessary to maximize your potential as a developer.

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