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Why is Rust Programming Language so Popular?

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Why is Rust Programming Language so Popular?

Stack Overflow’s 2019 poll confirms that Rust has been the most popular programming language for the last four years. This indicates that individuals who have really used Rust programming are amazed by it.

Rust, however, isn’t one of the most widely used programming languages out there. There is a lot of untapped potential in Rust programming, as this shows. Rust is quickly becoming a must-have for programmers worldwide, as more and more people flock to it because of its popularity.

The following is a brief introduction to the Rust programming language and seven good reasons to use Rust in your next project.

RUST Programming Language – What Exactly Is It?

As with the fungus (yep, Rust is an actual term for the fungus), Rust, the computer language it is named after, is a fast-growing programming language in the industry.

Rust is a computer language designed to solve the shortcomings of the C programming language. Programmers find it challenging to manually manage memory in C, despite the language’s extensive object-oriented features. Rust is a sophisticated programming language that enables you to develop quick programs with a minimal memory footprint.

Mozilla released Rust in 2012, although the concept was hatched by Graydon Hoare, a language developer with a penchant for open source. In 2006, Hoare started developing the language, and Mozilla rapidly saw Rust’s potential. Together with Hoare, they formed a development group tasked with experimenting and building it most efficiently.

“The language is intended at dissatisfied C++ developers,” says Hoare. Take a closer look at what makes Rust superior to other programming languages, such as C or C++.

How to Get the Most Out of Rust Programming

With everything said and done, it’s clear how useful Rust is for any future endeavors.

But where and when do you utilize Rust programming?

When it comes to coding, we realize there is no one-size-fits-all answer. So it’s critical to understand when Rust is a better choice than Python.

The following are a few scenarios in which Rust’s employment as a programming language is advantageous:

  • There are several advantages to using Rust while designing a high-performance app.
  • Rust is a good choice if you need to quickly process a large volume of data.
  • Regarding thread resource allocation, Rust is the way to go.
  • Memory safety is an important consideration when using Rust, but it comes at the cost of complexity.
  • In situations where performance is critical, use Rust to rewrite sensitive code.

Aside from gaming engines and operating systems, Rust is well-suited for web components, browser components, and virtual reality simulation engines due to the above criteria.

Rust is an excellent programming language for IoT applications.

Programmers building code for the Internet of Things (IoT) applications are more likely to use Rust.

With the emergence of gadgets such as Raspberry Pi and Arduino, the maker movement is in full swing. If you’re a programmer who sees the Internet of Things (IoT) as a billion-dollar opportunity, you must learn Rust.

A close-to-the-metal language like Rust may be used in environments with limited memory. As a result, Rust is an ideal language for writing code for microcontroller devices such as the Raspberry Pi, Arduino, or Tessel.

HPC (High-Performance Computing) Can Benefit From Rust Programming

Most of your code will be written in C when you use Rust for high-performance computing (HPC). When you use its FFI (foreign function interface), it is possible to write and run Rust code without any additional effort. Rust, however, enables you to redesign your application module by module using the language.

Rust also has a better development experience since it doesn’t affect the application performance. A major benefit of using Rust in HPC is the ability to scale your application to many cores more efficiently.

Explore the Potential of Rust

The effective memory management capabilities of Rust programming are a big advantage. But on top of that, it provides excellent performance and security for various web-based applications. Its robust command-line interface is also an excellent tool for creating cross-platform programs. Rust’s ability to cross-compile new code with old code makes it an excellent choice for low-resource situations.

For more than just gaming engines and operating systems, Rust programming has a lot to offer the Internet of Things (IoT). The Rust programming language has a dynamic community, so don’t be afraid to dive into this amazing world of possibilities!

 

 

 

 

Developer

Overview of the Rust Programming Language

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Overview of the Rust Programming Language

What is Rust?

In this part, there are a few insights here about Rust; if you’re not very familiar with it, or probably you want to refresh your memory. If not, feel free to go to the next section.

A brief history

Rust just celebrated five years of stable Rust. Thus, if you look back at the archives, you will realize that the project started much earlier than that – it takes a while for the software to evolve into something stable!

The first release label on the GitHub repository is over eight years old (release-0.1). And the first on this repository celebrates ten years today (I wasn’t indeed at university!). Before that, there was a Rust repository, which dates back to 2006.

It is also evident that two versions of Rust have been released within the five years: edition 2015 (Rust 1.0) and edition 2018 (Rust 1.31). Though the new edition was not a significant breaking change – one can use 2015 and 2018 packages in a Rust application – it shows a good velocity in the development of Rust.

Why Rust? Reliability, performance, productivity: choose three

Rust makes itself a practical programming language focusing on all of the reliability, performance, and productivity.

Performance means that Rust programs should run with no outflow in terms of memory usage or pure speed. Rust is collected as opposed to interpreted. An interpreted language like JavaScript or Python necessarily dodges a performance outflow, even with the best-in-class JIT customization. For illustration, dynamic typing prevents some compiler usage. Second, Rust uses manual memory operation, as opposed to a scrap collector. Even though scrap collectors can be structured with a low-speed overhead, it needs a lot more memory, like 5x more memory.

The downside of collected languages with manual memory operation is that, traditionally, C and C++ have been the primary source of security vulnerabilities because manual memory operation is complex. However, around 70% of severe vulnerabilities in software such as Chromium, Firefox, or Microsoft products are memory safety issues.

It is where Rust comes into existence; with a more potent model of memory power and borrowing ignited into the type system, Rust enables you to write dependable programs even with manual memory operation. It is the essential novelty of Rust, but as regards this series of posts, Rust has more benefits than that.

On the other side, there is a slight developer outflow in understanding how the power and borrowing rule works, but Rust has improved on the aspect. Thus, if you want to know about the performance, there is always some developer overhead: either you use a completely managed language such as JavaScript, but you will face challenges when your operation gets slow, or you either use something more efficient like Go or Java, and you can still end up fighting the scrap collector if RAM constrains you, or you use C/C++ which will be effective but will create a disadvantage later when security vulnerabilities are noticed in your software. You can also spend some time learning Rust, but after, you have to worry about neither reliability nor performance.

The next pillar of Rust is productivity. It comes by giving access to both low-position primitives – as we’ve seen with efficient memory operation and high-position abstractions – made possible with a robust type system. This ability to span the entire abstraction spectrum enables software development in Rust productive. If you write code and software performance as one, being more effective in writing reliable code increases the software performance.

In this talk, Bryan Cantrill discusses that a program written in Rust without applying all possible optimizations was 35% faster than an original well-optimized C program. The reason was that Rust enforced sorted maps as a B-tree under a good abstraction. While B-tree maps are very efficient, it is much harder to write a generic B-tree library in C than in Rust because of the type system, so C programs usually end up with few optimized structures like red-black trees. Another illustration is the Hash Map structure of Rust, which now implements a harborage of Google’s Swiss Tables, and is thus more efficient than stud::unordered map in C++. Relatively insightful! A good illustration is the following which compares the productivity of C and Rust to two languages that should not be compromised on performance.