Java vs RStudio

Overview

Java

Stacks148.0K

Followers105.5K

Votes3.7K

RStudio

Stacks415

Followers455

Votes10

GitHub Stars4.9K

Forks1.1K

Java vs RStudio: What are the differences?

Language Paradigm: Java is a statically-typed object-oriented programming language, whereas RStudio is mainly used for statistical computing and graphics, making it popular among data analysts and statisticians.
Syntax: Java syntax is more verbose and requires semicolons at the end of each statement, while RStudio syntax is concise and often revolves around functions and data frames.
Development Environment: Java development typically requires an Integrated Development Environment (IDE) like Eclipse or IntelliJ IDEA, whereas RStudio provides an all-in-one IDE specifically designed for R programming.
Type of Applications: Java is commonly used for developing applications like enterprise software, web applications, and Android apps, while RStudio is primarily utilized for statistical analysis, data visualization, and machine learning projects.
Community and Package Ecosystem: Java has a larger community and a vast ecosystem of libraries and frameworks for various applications, whereas RStudio has a strong community focused on statistical computing with diverse packages like ggplot2 for data visualization and dplyr for data manipulation.
Learning Curve: Java can have a steeper learning curve for beginners due to its complex syntax and object-oriented concepts, while RStudio can be easier to grasp for those with a background in statistics or data analysis.

In Summary, Java and RStudio differ in their language paradigms, syntax, development environments, types of applications they are used for, community support and packages, and the learning curve they present to users.

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Advice on Java, RStudio

Erik

Chief Architect at LiveTiles

May 18, 2020

Decided

C# and .Net were obvious choices for us at LiveTiles given our investment in the Microsoft ecosystem. It enabled us to harness of the .Net framework to build ASP.Net MVC, WebAPI, and Serverless applications very easily. Coupled with the high productivity of Visual Studio, it's the native tongue of Microsoft technology.

614k views614k

Comments

Nick

Building cool things on the internet 🛠️ at Stream

Sep 5, 2019

Review

I work at Stream and I'm immensely proud of what our team is working on here at the company. Most recently, we announced our Android SDK accompanied by an extensive tutorial for Java and Kotlin. The tutorial covers just about everything you need to know when it comes to using our Android SDK for Stream Chat. The Android SDK touches many features offered by Stream Chat – more specifically, typing status, read state, file uploads, threads, reactions, editing messages, and commands. Head over to https://getstream.io/tutorials/android-chat/ and give it a whirl!

176k views176k

Comments

Ido

Mar 6, 2020

Decided

When developing a new blockchain, we as a team chose Go lang over Java and other candidates, due to Go being (a) natively suited to concurrency - there are primitives in the language itself (goroutines, channels) that really help with reasoning about concurrency (b) super fast - build time, running, testing are all much faster that Java, this gives a far superior developer experience (c) shorter and stricter than Java - code is much shorter (less verbose), and there is usually one good way to do things, and even the code formatter that is bundled with Go is very opinionated - over a short time this makes reading other people's code far smoother than having to deal with different styles.

You should be aware that Go presently (v1.13) lacks Generics.

267k views267k

Comments

Detailed Comparison

Java	RStudio
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!	An integrated development environment for R, with a console, syntax-highlighting editor that supports direct code execution. Publish and distribute data products across your organization. One button deployment of Shiny applications, R Markdown reports, Jupyter Notebooks, and more. Collections of R functions, data, and compiled code in a well-defined format. You can expand the types of analyses you do by adding packages.
-	Enhanced Security and Authentication; Administrative Tools; Metrics and Monitoring; Advanced Resource Management; Session Load Balancing; Team Productivity Enhancements; Priority Email Support.
Statistics
GitHub Stars -	GitHub Stars 4.9K
GitHub Forks -	GitHub Forks 1.1K
Stacks 148.0K	Stacks 415
Followers 105.5K	Followers 455
Votes 3.7K	Votes 10
Pros & Cons
Pros 609 Great libraries 446 Widely used 401 Excellent tooling 396 Huge amount of documentation available 334 Large pool of developers available Cons 33 Verbosity 27 NullpointerException 17 Nightmare to Write 16 Overcomplexity is praised in community culture 12 Boiler plate code	Pros 3 Visual editor for R Markdown documents 2 In-line code execution using blocks 1 In-line graphing support 1 Supports Rcpp, python and SQL 1 Sophitiscated statistical packages
Integrations
Spring	Jenkins Docker Windows

What are some alternatives to Java, RStudio?

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Sublime Text

Sublime Text is available for OS X, Windows and Linux. One license is all you need to use Sublime Text on every computer you own, no matter what operating system it uses. Sublime Text uses a custom UI toolkit, optimized for speed and beauty, while taking advantage of native functionality on each platform.

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

Atom

At GitHub, we're building the text editor we've always wanted. A tool you can customize to do anything, but also use productively on the first day without ever touching a config file. Atom is modern, approachable, and hackable to the core. We can't wait to see what you build with it.

Vim

Vim is an advanced text editor that seeks to provide the power of the de-facto Unix editor 'Vi', with a more complete feature set. Vim is a highly configurable text editor built to enable efficient text editing. It is an improved version of the vi editor distributed with most UNIX systems. Vim is distributed free as charityware.

Visual Studio Code

Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

Related Comparisons

Java vs RStudio: What are the differences?

Language Paradigm: Java is a statically-typed object-oriented programming language, whereas RStudio is mainly used for statistical computing and graphics, making it popular among data analysts and statisticians.
Syntax: Java syntax is more verbose and requires semicolons at the end of each statement, while RStudio syntax is concise and often revolves around functions and data frames.
Development Environment: Java development typically requires an Integrated Development Environment (IDE) like Eclipse or IntelliJ IDEA, whereas RStudio provides an all-in-one IDE specifically designed for R programming.
Type of Applications: Java is commonly used for developing applications like enterprise software, web applications, and Android apps, while RStudio is primarily utilized for statistical analysis, data visualization, and machine learning projects.
Community and Package Ecosystem: Java has a larger community and a vast ecosystem of libraries and frameworks for various applications, whereas RStudio has a strong community focused on statistical computing with diverse packages like ggplot2 for data visualization and dplyr for data manipulation.
Learning Curve: Java can have a steeper learning curve for beginners due to its complex syntax and object-oriented concepts, while RStudio can be easier to grasp for those with a background in statistics or data analysis.

Java vs RStudio

Overview