Julia
Julia

201
279
+ 1
69
Rust
Rust

1.6K
1.9K
+ 1
763
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Julia vs Rust: What are the differences?

What is Julia? A high-level, high-performance dynamic programming language for technical computing. Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

What is Rust? A safe, concurrent, practical language. 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.

Julia and Rust belong to "Languages" category of the tech stack.

"Lisp-like Macros" is the top reason why over 7 developers like Julia, while over 81 developers mention "Guaranteed memory safety" as the leading cause for choosing Rust.

Julia and Rust are both open source tools. It seems that Rust with 36.9K GitHub stars and 5.81K forks on GitHub has more adoption than Julia with 22.5K GitHub stars and 3.4K GitHub forks.

According to the StackShare community, Rust has a broader approval, being mentioned in 38 company stacks & 102 developers stacks; compared to Julia, which is listed in 5 company stacks and 5 developer stacks.

Advice on Julia and Rust
Needs advice
on
RustRust
vs
C++C++

I am currently learning Back-End design, and I am confused with the term Back-End API. My question is do I need to have a webserver? That is the Browser send a http request to the Webserver, based on the URL, the Webserver will execute the WEB API and route the request to it and send back the response received from the WEB API to the browser. If so, what are the differences from the WebServer to execute a CGI in the traditional architecture?

If this is not the case, is the WEB API a standalone server/application that can process the HTTP request and send back the response to the browser? Thank you very much for clarifying...

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Decisions about Julia and Rust
Roman Glushko
Roman Glushko
Tech Lead 🙌 Magento Software Developer 🛒 Developer Advocate 🥑 at Atwix · | 3 upvotes · 5.1K views
Chose
GoGo
over
RustRustPHPPHP
in

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 Julia
Pros of Rust

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Cons of Julia
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What is Julia?

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

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.
What companies use Julia?
What companies use Rust?

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What tools integrate with Julia?
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What are some alternatives to Julia and Rust?
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.
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.
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.
Go
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.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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