Zachary Palmer

Zachary Palmer

1567674255

Java vs. Python: A Comparison of Features and Usage

Originally published by Jun Wu at https://medium.com

Java and Python are both in the top five most popular programming languages per the Stack Overflow’s Developer Survey 2019. When people ask you to compare the two languages, you might be tempted to say that either language is robust enough to handle all different kinds of usages. But, the truth is that to maximize the best features of each language, you’ve got to consider carefully when choosing one language over the other. Also, if you’re a beginner, understanding the features and usage conventions of the languages may help you to decide which language to learn first.

History and Purpose

Java was developed as an object-oriented programming language by James Gosling and the team at Sun Microsystems in the early 1990s. The main goal of Java was to be able to run on multiple platforms securely. It’s also architecture-neutral and high performance. These features make Java a very popular language choice for enterprise technology.

In contrast, Python was designed to be a multi-purpose language that strives to be readable, explicit, and simple. Compared to Java, Python’s syntax is much simpler. Beginners often start with Python, then venture into Java after practicing object-oriented language concepts in Python.

Because Python is a multi-purpose language, you can find many programmers who use it for front-end development, back-end development, data science, and scientific computing.

It’s also a multi-paradigm language, which means that front-end developers may use it for object-oriented programming, while scientific programmers may use it for functional programming.

Statically Typed vs. Dynamically Typed

Java is statically typed, while Python is dynamically typed. This means that Java performs type checking at compilation, while Python does it at run-time. Type checking is the process of verifying and enforcing constraints of types. Both Java and Python are strongly typed languages, which means that variables need explicit conversion to convert to unrelated types. Typically, due to type checking at runtime, Python is slower than Java. Python also requires more unit testing, while Java development is typically lengthier. Type safety in Java allows enterprise-level secure implementations, while Python is often the language of choice for prototyping.

Java vs. Python Development Communities

Both Java and Python development communities are large. Prominent Java communities such as Oracle and its convention Oracle Code One, JavaWorld, and JavaRanch have contributed to its widespread popularity in software development. Python’s communities, such as PySlackers, the PyCon convention, PyLadies, and the FreeNode IRC Python channels have contributed to its popularity and diversity of programmers.

Syntax

Java code is typically more verbose than Python code. Python was created to be explicit and simple. Therefore, it usually takes less development effort. Java projects at the enterprise level are typically lengthier. At the enterprise level, Python is preferred for prototyping.

Comparison of hello world code already shows you how verbose Java is. In practice, one example is that, in Java, the top-level public class must be defined in its own file. In Python, multiple classes can be defined in a single file. Verbosity also contributes to the number of errors. You’ll find that programming in Java often involves a more rigid set of rules. In turn, there are a lot more errors to fix in development. Python’s simplicity allows for more creativity and productivity.

Java Version:public class HelloWord

{

      public static void main (String[] args)

        {

            System.out.println(“Hello, world!”);

         }

}Python Version:print “Hello, world!”

Learning Curve

Due to the verbosity of its syntax, complex conventions, and longer development time, Java is harder to learn than Python. However, there are arguments for both languages as the first programming language to learn.

Learning Java first is admittedly more painful. But, you will learn more about why design choices are made. It makes you a better programmer in the sense that you step away from just getting the job done. Instead, you learn about the reasons behind the code.

Learning Python first is easier. Many computer science programs now use Python as the language of choice to teach computer science concepts. Python’s ease of use lets you be more creative in your learning path. It also gives you more motivation to learn other languages.

Performance

Java is much faster than Python—historically, as much as 25 times faster. However, with the Python 3 release, Java is now only about 1.5 times faster. The main reason that Python is slower is that it’s interpreted using the read–eval–print loop and it also does type checking on run-time. Both of these slow Python down at execution. Due to the performance drawbacks, you’ll find that Java dominates enterprise-level software development.

Legacy Systems

There are two sides to the legacy-systems coin. Traditionally, Java has dominated enterprise software development. You will find that more legacy systems are programmed in Java than any other language. They also tend to be large and critical systems. Python, because of the way it easily plugs into systems developed in any other language, often acts as the glue to connect them.

SQL and connecting to relational databases were essential in the last decade for enterprise software development. The popularity of JDBC has made Java the language of choice in that area.

When it comes to legacy systems, you will often find Java and Python working side by side.

Web Development

Java and Python could both be the choice for back-end web development. Django and Flask are two popular frameworks for web development in Python. Django allows you to build a powerful back-end that capitalizes on efficiency and security, while Flask is a micro-web framework containing basic routing of requests without an overhead.

Java’s Spring framework is used for back-end web development for enterprise Java. It’s light-weight and achieves loose coupling through inversion of control. It also separates business logic from system services using aspect-oriented programming. Also, it supports all types of application development and allows for end-to-end development.

Machine Learning

Even though Java currently has an advantage over Python for enterprise technology development, Python may be favored for the proliferating machine learning field. In machine learning, the most popular libraries are in Python: Pytorch, TensorFlow, scikit-learn, etc. Python is also a multi-paradigm language, which means machine learning implementations can be done using functional programming. This appeals to the scientific community as well as the data science community.

Java, on the other hand, has the Weka, Java-ML, MLib and Deeplearning4j libraries for machine learning. It also has parallel and concurrency processing that beats Python. However, with other languages such as Clojure coming on the scene to better handle parallel and concurrency processing, Java’s role in machine learning may be limited.

In Conclusion

Java and Python both have features that have allowed these languages to develop side by side. In enterprise development, although Java has historically been the choice due to performance and security reasons, Python is fast catching up. With the proliferation of machine learning, the battle between Java and Python may intensify. Ultimately, both languages lend themselves to different usages that allow both to have bright futures ahead.

Thanks for reading

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Further reading

Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

PyTorch Tutorial for Beginners

Python vs Java: Understand Object Oriented Programming



#python #java #machine-learning #web-development

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Java vs. Python: A Comparison of Features and Usage
Tyrique  Littel

Tyrique Littel

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How to Install OpenJDK 11 on CentOS 8

What is OpenJDK?

OpenJDk or Open Java Development Kit is a free, open-source framework of the Java Platform, Standard Edition (or Java SE). It contains the virtual machine, the Java Class Library, and the Java compiler. The difference between the Oracle OpenJDK and Oracle JDK is that OpenJDK is a source code reference point for the open-source model. Simultaneously, the Oracle JDK is a continuation or advanced model of the OpenJDK, which is not open source and requires a license to use.

In this article, we will be installing OpenJDK on Centos 8.

#tutorials #alternatives #centos #centos 8 #configuration #dnf #frameworks #java #java development kit #java ee #java environment variables #java framework #java jdk #java jre #java platform #java sdk #java se #jdk #jre #open java development kit #open source #openjdk #openjdk 11 #openjdk 8 #openjdk runtime environment

Ray  Patel

Ray Patel

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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt

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Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Samanta  Moore

Samanta Moore

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Going Beyond Java 8: Local Variable Type Inference (var) - DZone Java

According to some surveys, such as JetBrains’s great survey, Java 8 is currently the most used version of Java, despite being a 2014 release.

What you are reading is one in a series of articles titled ‘Going beyond Java 8,’ inspired by the contents of my book, Java for Aliens. These articles will guide you step-by-step through the most important features introduced to the language, starting from version 9. The aim is to make you aware of how important it is to move forward from Java 8, explaining the enormous advantages that the latest versions of the language offer.

In this article, we will talk about the most important new feature introduced with Java 10. Officially called local variable type inference, this feature is better known as the **introduction of the word **var. Despite the complicated name, it is actually quite a simple feature to use. However, some observations need to be made before we can see the impact that the introduction of the word var has on other pre-existing characteristics.

#java #java 11 #java 10 #java 12 #var #java 14 #java 13 #java 15 #verbosity

August  Larson

August Larson

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Python vs Java in 2021: Which One You Should Choose? [Full Comparison]

A programming language is a group of commands, instructions, and codes to design a software program. The programming languages used by developers are integral to software development, and this is why they can’t be ignored.

Choosing between various programming languages is often a difficult task for developers, let alone choosing between the two industry leaders. Are you also facing one of those dilemmas? This article is a developer’s one-stop-shop for a list of features that they should consider when deciding between Java and Python.

Java and Python both have been at war for the top spot. Python has been constantly improving, while Java is used in significant organizations. Both languages do their jobs well, but certain microscopic features differentiate them.

#full stack development #java #java vs python #python