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R Language vs Rust: What are the differences?

Key Differences between R Language and Rust

Rust and R are two programming languages that serve different purposes and have their own unique features and characteristics.

  1. Design Philosophy: R is a high-level programming language that is primarily used for statistical computing and graphics. It was designed to provide a wide range of statistical and graphical techniques. On the other hand, Rust is a systems programming language that focuses on safety, speed, and concurrency. It is designed to be a low-level language that allows for fine-grained control over system resources.

  2. Memory Management: One of the key differences between R and Rust is their approach to memory management. R has automatic memory management through a garbage collector, which means that memory allocation and deallocation are handled by the language itself. In contrast, Rust has a unique feature called ownership model that allows for deterministic memory management. It requires the programmer to manually manage memory by tracking ownership and lifetimes of variables.

  3. Type System: R is dynamically typed, which means that variable types are determined at runtime. This allows for flexible and expressive coding but can also lead to runtime errors. Rust, on the other hand, is statically typed, which means that variable types are checked at compile time. This ensures type safety and helps catch potential errors early in the development process.

  4. Concurrency and Parallelism: R has limited support for concurrency and parallelism. While it provides some built-in functions for parallel computing, it is not as well-suited for handling complex concurrency scenarios. Rust, on the other hand, has strong support for both concurrency and parallelism. It provides abstractions like threads, locks, and channels that make it easier to write safe and efficient concurrent code.

  5. Performance: In terms of performance, Rust has a significant advantage over R. Rust is known for its performance and efficiency, thanks to its low-level control over system resources. It provides zero-cost abstractions and allows for fine-grained control over memory and CPU usage. R, on the other hand, prioritizes ease of use and expressiveness over raw performance, which may result in slower execution times for certain tasks.

  6. Community and Ecosystem: R has a large and active community that has developed a rich ecosystem of packages and libraries for statistical computing and data analysis. It is widely used in academia and industry for various data-related tasks. Rust, being a relatively newer language, has a smaller but rapidly growing community. It is gaining popularity for systems programming and has a growing ecosystem of libraries for web development, networking, and tooling.

In summary, R and Rust are two distinct programming languages with different design philosophies, memory management approaches, type systems, concurrency support, performance characteristics, and community ecosystems.

Advice on R Language and Rust
Needs advice
on
JavaScriptJavaScriptPythonPython
and
RustRust

So, I've been working with all 3 languages JavaScript, Python and Rust, I know that all of these languages are important in their own domain but, I haven't took any of it to the point where i could say I'm a pro at any of these languages. I learned JS and Python out of my own excitement, I learned rust for some IoT based projects. just confused which one i should invest my time in first... that does have Job and freelance potential in market as well...

I am an undergraduate in computer science. (3rd Year)

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Replies (3)
Recommends
on
JavaScriptJavaScript

I would start focusing on Javascript because even working with Rust and Python, you're always going to encounter some Javascript for front-ends at least. It has: - more freelancing opportunities (starting to work short after a virus/crisis, that's gonna help) - can also do back-end if needed (I would personally avoid specializing in this since there's better languages for the back-end part) - hard to avoid. it's everywhere and not going away (well not yet)

Then, later, for back-end programming languages, Rust seems like your best bet. Its pros: - it's satisfying to work with (after the learning curve) - it's got potential to grow big in the next year (also with better paying jobs) - it's super versatile (you can do high-perf system stuff, graphics, ffi, as well as your classic api server) It comes with a few cons though: - it's harder to learn (expect to put in years) - the freelancing options are virtually non-existent (and I would expect them to stay limited, as rust is better for long-term software than prototypes)

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Recommends
on
JavaScriptJavaScript

I suggest you to go with JavaScript. From my perspective JavaScript is the language you should invest your time in. The community of javascript and lots of framework helps developer to build what they want to build in no time whether it a desktop, web, mobile based application or even you can use javascript as a backend as well. There are lot of frameworks you can start learning i suggest you to go with (react,vue) library both are easy to learn than angular which is a complete framework.

And if you want to go with python as a secondary tool then i suggest you to learn a python framework (Flask,Django).

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Moinul Moin
Recommends
on
JavaScriptJavaScript

go for javascript, brother.

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Decisions about R Language and Rust
Roman Glushko
Machine Learning, Software Engineering and Life · | 3 upvotes · 338.9K views

I chose Golang as a language to write Tango because it's super easy to get started with. I also considered Rust, but learning curve of it is much higher than in Golang. I felt like I would need to spend an endless amount of time to even get the hello world app working in Rust. While easy to learn, Golang still shows good performance, multithreading out of the box and fun to implement.

I also could choose PHP and create a phar-based tool, but I was not sure that it would be a good choice as I want to scale to be able to process Gbs of access log data

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Pros of R Language
Pros of Rust
  • 84
    Data analysis
  • 63
    Graphics and data visualization
  • 54
    Free
  • 45
    Great community
  • 38
    Flexible statistical analysis toolkit
  • 27
    Easy packages setup
  • 27
    Access to powerful, cutting-edge analytics
  • 18
    Interactive
  • 13
    R Studio IDE
  • 9
    Hacky
  • 7
    Shiny apps
  • 6
    Shiny interactive plots
  • 6
    Preferred Medium
  • 5
    Automated data reports
  • 4
    Cutting-edge machine learning straight from researchers
  • 3
    Machine Learning
  • 2
    Graphical visualization
  • 1
    Flexible Syntax
  • 143
    Guaranteed memory safety
  • 130
    Fast
  • 87
    Open source
  • 75
    Minimal runtime
  • 70
    Pattern matching
  • 63
    Type inference
  • 56
    Algebraic data types
  • 56
    Concurrent
  • 46
    Efficient C bindings
  • 43
    Practical
  • 37
    Best advances in languages in 20 years
  • 32
    Safe, fast, easy + friendly community
  • 30
    Fix for C/C++
  • 25
    Stablity
  • 24
    Zero-cost abstractions
  • 23
    Closures
  • 20
    Great community
  • 20
    Extensive compiler checks
  • 18
    No NULL type
  • 18
    Async/await
  • 15
    Completely cross platform: Windows, Linux, Android
  • 15
    No Garbage Collection
  • 14
    Great documentations
  • 14
    High-performance
  • 12
    Super fast
  • 12
    Generics
  • 12
    High performance
  • 11
    Safety no runtime crashes
  • 11
    Guaranteed thread data race safety
  • 11
    Fearless concurrency
  • 11
    Macros
  • 10
    Compiler can generate Webassembly
  • 10
    Helpful compiler
  • 9
    Easy Deployment
  • 9
    RLS provides great IDE support
  • 9
    Prevents data races
  • 8
    Real multithreading
  • 8
    Painless dependency management
  • 7
    Good package management
  • 5
    Support on Other Languages

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Cons of R Language
Cons of Rust
  • 6
    Very messy syntax
  • 4
    Tables must fit in RAM
  • 3
    Arrays indices start with 1
  • 2
    Messy syntax for string concatenation
  • 2
    No push command for vectors/lists
  • 1
    Messy character encoding
  • 0
    Poor syntax for classes
  • 0
    Messy syntax for array/vector combination
  • 26
    Hard to learn
  • 23
    Ownership learning curve
  • 11
    Unfriendly, verbose syntax
  • 4
    Variable shadowing
  • 4
    High size of builded executable
  • 4
    Many type operations make it difficult to follow
  • 3
    No jobs
  • 1
    Use it only for timeoass not in production

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What is R Language?

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.

What is Rust?

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

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What are some alternatives to R Language and Rust?
MATLAB
Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java.
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.
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.
SAS
It is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia.
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.
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