Dart vs R

Overview

R Language

Stacks3.9K

Followers1.9K

Votes418

Dart

Stacks4.3K

Followers3.8K

Votes452

Dart vs R: What are the differences?

<Write Introduction here>

Syntax: One key difference between Dart and R is their syntax. Dart is a statically typed language that closely resembles Java or C#, making it easier for developers with experience in those languages to pick up Dart. On the other hand, R is a dynamically typed language designed specifically for statistical computing and graphics, making its syntax more focused on data manipulation and analysis.
Primary Use Case: Dart is primarily used for building user interfaces and web applications, as it is developed by Google with a strong focus on web development. In contrast, R is commonly used in the field of data science and statistical analysis, as it provides a wide range of statistical and graphical techniques for analyzing data sets.
Strong Typing vs Weak Typing: Another difference between Dart and R is their approach to typing. Dart is a strongly typed language, meaning that variables are explicitly declared with their data types. This helps catch errors during compilation. R, on the other hand, is weakly typed, allowing for more flexibility but potentially leading to runtime errors due to type mismatches.
Execution Environment: Dart code is typically compiled ahead of time into native machine code for improved performance, making it more suitable for building performance-sensitive applications. In contrast, R is interpreted at runtime, giving it a more interactive and exploratory feel for data analysis tasks but may sacrifice performance in certain situations.
Ecosystem and Libraries: Dart has a growing ecosystem of libraries, tools, and frameworks for building web and mobile applications, with support from Google. R, on the other hand, has a rich collection of packages and libraries specifically tailored for statistical analysis, machine learning, and data visualization tasks, making it a popular choice among data scientists and statisticians.
Community Support: Dart has a smaller community compared to R, which has a strong and active user base in the data science and statistical computing fields. This means that R users have access to a wealth of resources, forums, and online communities for support and collaboration, whereas Dart developers may have a more limited network for assistance and knowledge sharing.

In Summary, Dart and R differ in syntax, primary use cases, typing systems, execution environments, ecosystem and library support, and community engagement.

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Advice on R Language, Dart

itsahmed-dev

Jan 29, 2022

Needs adviceon

Dart

Flutter

Firebase

I want to create a mobile-first e-commerce platform app. I think @{Dart}|tool:1646| and @{Flutter}|tool:7180| is a way for me to build cross-platform apps from a single codebase but I might be wrong so what do you guys think?

I also don't know what to do about the back-end. I mean managing the database of products and users. handing orders and invoices. I think @{Firebase}|tool:116| can be an answer to my problems but how far I can go with firebase and its user authentication and database tools? Just firebase is enough for all my back-end needs?

What suits my needs, a relational database or a non-relational database?

Do I need to learn another programming language for handling back-end, like @{Python}|tool:993| or @{Go}|tool:1005|?

I would appreciate your opinion. Thanks

117k views117k

Comments

Muhamed

Apr 28, 2020

Needs adviceon

Python

JavaScript

Django

I am currently learning web development with Python and JavaScript course by CS50 Harvard university. It covers python, Flask, Django, SQL, Travis CI, javascript,HTML ,CSS and more. I am very interested in Flutter app development. Can I know what is the difference between learning these above-mentioned frameworks vs learning flutter directly? I am planning to learn flutter so that I can do both web development and app development. Are there any perks of learning these frameworks before flutter?

737k views737k

Comments

Samuel

Oct 11, 2021

Decided

MACHINE LEARNING

Python is the default go-to for machine learning. It has a wide variety of useful packages such as pandas and numpy to aid with ML, as well as deep-learning frameworks. Furthermore, it is more production-friendly compared to other ML languages such as R.

Pytorch is a deep-learning framework that is both flexible and fast compared to Tensorflow + Keras. It is also well documented and has a large community to answer lingering questions.

158k views158k

Comments

Detailed Comparison

R Language	Dart
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.	Dart is a cohesive, scalable platform for building apps that run on the web (where you can use Polymer) or on servers (such as with Google Cloud Platform). Use the Dart language, libraries, and tools to write anything from simple scripts to full-featured apps.
-	Dart’s comprehensive libraries give you lots of choices;Compilation to JavaScript lets you deploy Dart apps now;Pub package manager;Dev Server
Statistics
Stacks 3.9K	Stacks 4.3K
Followers 1.9K	Followers 3.8K
Votes 418	Votes 452
Pros & Cons
Pros 86 Data analysis 64 Graphics and data visualization 55 Free 45 Great community 38 Flexible statistical analysis toolkit Cons 6 Very messy syntax 4 Tables must fit in RAM 3 Arrays indices start with 1 2 No push command for vectors/lists 2 Messy syntax for string concatenation	Pros 60 Backed by Google 54 Flutter 39 Twice the speed of Javascript 35 Great tools 30 Scalable Cons 3 Lack of ORM 3 Locked in - JS or TS interop is very hard to accomplish 0 A

What are some alternatives to R Language, Dart?

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.

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.

Java

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!

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.

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.

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Related Comparisons

Dart vs R: What are the differences?

<Write Introduction here>

Syntax: One key difference between Dart and R is their syntax. Dart is a statically typed language that closely resembles Java or C#, making it easier for developers with experience in those languages to pick up Dart. On the other hand, R is a dynamically typed language designed specifically for statistical computing and graphics, making its syntax more focused on data manipulation and analysis.
Primary Use Case: Dart is primarily used for building user interfaces and web applications, as it is developed by Google with a strong focus on web development. In contrast, R is commonly used in the field of data science and statistical analysis, as it provides a wide range of statistical and graphical techniques for analyzing data sets.
Strong Typing vs Weak Typing: Another difference between Dart and R is their approach to typing. Dart is a strongly typed language, meaning that variables are explicitly declared with their data types. This helps catch errors during compilation. R, on the other hand, is weakly typed, allowing for more flexibility but potentially leading to runtime errors due to type mismatches.
Execution Environment: Dart code is typically compiled ahead of time into native machine code for improved performance, making it more suitable for building performance-sensitive applications. In contrast, R is interpreted at runtime, giving it a more interactive and exploratory feel for data analysis tasks but may sacrifice performance in certain situations.
Ecosystem and Libraries: Dart has a growing ecosystem of libraries, tools, and frameworks for building web and mobile applications, with support from Google. R, on the other hand, has a rich collection of packages and libraries specifically tailored for statistical analysis, machine learning, and data visualization tasks, making it a popular choice among data scientists and statisticians.
Community Support: Dart has a smaller community compared to R, which has a strong and active user base in the data science and statistical computing fields. This means that R users have access to a wealth of resources, forums, and online communities for support and collaboration, whereas Dart developers may have a more limited network for assistance and knowledge sharing.

In Summary, Dart and R differ in syntax, primary use cases, typing systems, execution environments, ecosystem and library support, and community engagement.

Dart vs R

Overview