This article gives you a complete picture of the Rust vs. Python landscape. By the end of the article, you’ll have a clear idea of what Rust and Python offer. In addition, you know to pick the right programming language for your project.

Let’s get started.

What is Rust?

Rust is a multi-purpose, high-performance programming language. It is statically typed with a similar syntax to C++. With Rust, developers can create memory-efficient and performance-optimized applications.

Rust’s core idea is to compile everything before the program runs. Therefore, it doesn’t house a runtime solution, making it ideal for writing critical applications. Moreover, it offers excellent concurrency and memory management rules powered by its ownership model.

The best way to describe Rust is to have low-level access similar to C++ while having the safety of a high-level programming language such as Python.

Who uses Rust?

Rust is popular among startups and big companies. Rust is a multi-purpose programming language that uses servers, tooling, web applications, game development, data science, etc.

Some prominent industry names using Rust include Coursera, Dropbox, Figma, Microsoft, Facebook, and Discord.

Each company uses Rust differently depending on requirements. For example, Figma, a collaborative web design tool, uses Rust to boost its platform’s front-end performance. They have entirely written Figma’s multiplayer syncing engine from TypeScript to Rust.

Coursera, a popular online learning platform, uses Rust to power web-based assignment solutions for students. In addition, Dropbox uses Rust for its file synchronization engine due to better testing and debugging, making it easy to manage complex databases and concurrent code.

Rust key features

Rust excels as a multi-paradigm programming language. However, its key features separate it from Python. It offers a good combination of low-level access with high-level usability, matching C++ performance. Its key features include:

• Memory Safety: Rust is a memory-safe programming language. Thanks to its ownership model, it achieves memory safety without relying on a garbage collector. It also has a robust type system that ensures no runtime errors can occur as Rust’s compiler analyze memory during compile time. 
• Zero-cost abstraction: Rust doesn’t punish developers for deploying abstractions. This means you get no performance penalty when you use abstraction, and the code runs without overhead. The zero-cost conception helps do code maintenance or add new features.
• Thread safety: Rust’s ownership model approach to concurrency includes a thread-safe approach. It protects the program from running into race conditions at run time. Programmers using Rust can use Rust’s mutable option to give access to a variable and then purge it once not needed, leading to a thread-safe environment.

Apart from these, Rust also offers easy-to-understand error messages, type interface, pattern matching, and move semantics.

What is Python?

Python is a high-level programming language. It is known for its scripting capabilities and ease of use. Moreover, it is also an excellent pick for visualization, automation, testing, and much more.

Python is interpreted and supports object-oriented paradigm. It also supports dynamic typing and binding, which is crucial for Rapid Application Development(RAD).

Who uses Python?

Python is a popular programming language. It is used widely in different sectors, including Finance, Government, Education, and IT. Python’s use cases include web development, data analysis & machine learning, scripting, automation, software prototyping, and more.

Google is at the forefront of using Python for its projects. Their founders are vocal about how Python can help them achieve better results, as Python offers better prototyping and ease of maintenance. 

Next, we have Facebook. They released a post in 2016 showcasing how Python is used to write and maintain multiple infrastructure management services. These include Dapper, FBOSS, and TORconfig; each offers unique functionality to Facebook’s core infrastructure.

Spotify also uses Python to power its back-end services, including data analysis. According to Spotify, they like Python’s ability to fit in a fast development pipeline.

Python key features

Python is a popular programming language. The key features that make it so popular among developers and learners include the following:

• English-like syntax: Python syntax is similar to English in many ways. It is identical to writing pseudo code, which appeals to most learners and engineers. Apart from learning advantages, Python’s English-like syntax makes development faster. 
• Interpreted: Python is an interpreted language. It enables developers to have flexibility compared to a compiled language. Moreover, interpreted languages are genuinely platform-independent. Python, an interpreted language, also brings other benefits, including faster prototyping and easy error identification.
• Dynamically typed: Python is dynamically typed, which makes it easier to understand. The interpreter takes care of determining variable data types at runtime.
• High-level language: Python is a high-level language that makes it easy to work with.
• Object-oriented programming language: Python supports an object-oriented model that lets programmers implement concepts such as Inheritance, Polymorphism, and Encapsulation. It helps developers to map things similar to how the real world works, enabling them to write code faster and more efficiently.

Apart from these features, other Python’s key features include a large community, an extensive standard library, open source, platform-independent, GUI support, etc.

Rust Pros and Cons

This section takes a look at Rust’s pros and cons.

Pros of Rust

• Rust has low memory usage. This is possible because of Rust’s ability to offer excellent memory control without using Garbage Collector.
• Rust is an excellent performance out of the box. It manages to match C++ performance. That’s because it is designed to perform. Moreover, it also offers LLVM optimizations. The other Rust features that improve the system’s performance include slices, HashMap API, and more.
• Rust also offers easy-to-understand error messages. That’s a boon compared to other programming languages that fail to do so. The compiler provides a detailed error so you can work with them with as much information as possible. 
• Rust offers a solid toolchain for better development workflow. Here, you get a Cargo package manager capable of providing package management, documentation generation, and test runner.
• Rust is statically typed, ensuring that type errors don’t creep in during runtime.
• Rust supports cross-platform development.

Cons of Rust

• Rust’s borrower checker introduces complexity. This requires Rust programmers to think as a borrow checker and resolve any issues with it.
• Rust doesn’t capture stack traces, which makes errors hard to debug. However, community-based tools already provide a workaround, such as using the error chain library.
• Rust is a new programming language and still growing. Its early phase means developers must deploy workarounds to overcome drawbacks, and libraries are still in progress.
• Rust’s documentation is still a work in progress. It can lead many developers to look for other resources or longer debug times. 
• Rust compile time is slower due to several checks to ensure error-free code development.

Python Pros and Cons

This section covers Python’s pros and cons.

Pros of Python

• Python is an easy-to-learn programming language thanks to its English-like syntax.
• Python offers an extensive library for easier and faster development across different spheres, including machine learning, web development, testing, automation, scraping, visualization, etc.
• Python is great for rapid application development. This is because of multiple factors, including dynamic typing, easy-to-learn, shorter program code, and extensive availability of libraries.
• Python is interpreted, which means benefits like faster error checking and the ability to execute independently of the platform.
• Python is truly portable and follows the write once, run anywhere philosophy. As Python is pre-compiled, its Python code can run anywhere using the platform-specific Python Virtual Machine(PVM)
• Python is dynamically typed, which doesn’t require programmers to type variable types. Its interpreter then determines the data type during runtime.

Cons of Python

• As Python is not a low-level language, it is not the fastest programming language. However, it doesn’t mean it is not ideal for real-world applications, but if you’re building a critical application, there are better choices than Python.
• Due to the dynamic type approach and use of an interpreter, Python suffers from runtime errors. This makes it harder to debug.
• Python memory consumption is higher due to the flexible data type, making it unideal for memory-sensitive apps.
• Python is not optimized for database access. So, if you’re working with a data-focused application that requires writing complex queries, there are better fits than Python.
• Python is not an ideal pick for developing mobile or desktop applications due to its high memory consumption and limited availability of Python mobile frameworks.

Rust vs. Python Comparison

In this section, we’ll look closely at Rust vs Python. Then, we’ll compare them via different criteria. If you’re in a hurry, check out the Rust vs Python table.

Popularity

When it comes to popularity, Python is the winner. This is because of multiple reasons, including its ease of use, usage in the ML/AI sphere, and the most obvious factor, age. 

Python is almost 3 decades old, from its inception in 1991 when Dutch programmer Guido van Rossum released its first version. In contrast, Rust was released in 2006. And, only recently, it has started gaining popularity.

Even though Python’s popularity is more than Rust, it doesn’t make Rust a loser. 

On the contrary, in the last 7 consecutive years, Rust has been the most loved programming language in the StackOverflow developer survey. However, it may not gain as much popularity as Python, considering Rust has a steep learning curve.

Learning Curve

Python is easy to learn and get started with. Its ease of learning begins with its English-like syntax and dynamic type approach. On top of that, there are excellent resources for learning Python, making it more accessible to the learning audience.

Rust, on the other hand, has a steep learning curve. Its core philosophy is to offer a tool to create memory-safe programs. To do so, it introduces many new concepts, such as the ownership model. If you’re a beginner, you may find it way more challenging. Experienced programmers must invest time and effort to become proficient at Rust.

Apart from that, Python also has a rich ecosystem where you get access to frameworks, libraries, and modules. Furthermore, it makes it easy to use Python, considering it offers good documentation. Lastly, you can write a program in fewer lines with Python than with Rust.

Performance

Performance-wise, Rust wins hands down. It can interact directly with the hardware as the code is compiled into machine code. Rust’s memory management approach also means better performance as it enforces memory checks during code compilation.

Python lacks speed because it is interpreted. This means that the Python Virtual Machine(PVM) must first interpret the code before it can interact with the hardware. However, Python’s goal is never to be fast but to offer more flexibility and ease to use.

Memory Management

Both Python and Rust aim to be memory-safe. However, Rust takes memory management too seriously and implements it through its unique ownership model, where variables need to be borrowed to use. Once the borrowing period ends, Rust’s borrow checker removes variable references automatically, ensuring proper memory management.

Additionally, the Rust ownership model forces programmers to use stack and heap to store values in the memory. Heap offers a less organized way to store values, whereas stack provides a faster, more organized way to store and access values. However, programmers can use the heap to store unorganized values and then use the stack to store the heap pointer for faster access.

On the other hand, Python is also memory safe but uses a garbage collector, which can lead to runtime race conditions.

Security

Rust takes security very seriously, and that’s obvious from its ownership model. It also offers proper Secure Rust guidelines for developers who want to build bullet-proof applications. Also, as Rust is compiled before the program runs, most errors and security issues are highlighted beforehand. Lastly, the Rust team actively patches any security vulnerabilities, ensuring a safe Rust ecosystem.

So, when you start developing with Rust, you use their default, “safe-by-default” mode. It also offers another mode known as unsafe Rust, which gives developers more flexibility to work with their code and makes them responsible for the app’s security.

Python is also very secure. However, it does lack in both memory and thread safety. This means developers must do the grunt work(such as memory management) to secure their applications.

Error Handling

When it comes to error handling, Python uses exceptions to handle errors. So, a developer can explicitly mention exception which works in addition to already available built-in exceptions.

In Rust, error handling works differently. Rust offers two error categories, known as recoverable errors and unrecoverable errors. The developer must resolve the unrecoverable errors because Rust enters the panic macro once it happens. Here, you get every detail of how to resolve the issue. In case of a recoverable error, the user must enter the correct input or resolve from its side. However, Rust’s inability to provide stack traces can leave developers who need help to be knowledgeable. Plenty of chain tools provide the much-necessary stack information for debugging.

Overall, Rust offers a better error-handling model, which guarantees memory safety, improves user-friendliness, and offers reliability & consistency.

Employability

Most learners learn a programming language because of the prospect of making money. So, where do Rust and Python stand when making money? 

Here, Python seems to win by a large margin. This is because most industry players use Python more often in their processes. That’s why most IT companies are looking for skilled Python programmers. Additionally, Python’s broad use cases mean plenty of roles across the industry, including data analyst, machine learning expert, full-stack developer, and so on.

• Practice Python interview questions

Rust, on the other hand, has a limited market demand. However, even if it is relatively new, its demand grows as more companies embrace Rust in their product or service. This means there is good demand for Rust programmers, but lower than that of Python programmers.

• Practice Rust interview questions

Both Rust and Python programmers are paid adequately according to industry standards.

Garbage Collection

Python relies on garbage collection to free up memory. Rust, however, doesn’t use a garbage collector as it handles memory at compile-time rather than run time.

Scalability

Regarding core design, Rust offers a more scalable architecture thanks to proper memory management, error handling, and the ability to interact with the hardware directly. However, Python can also be used to build scalable solutions, primarily because of available vertical or horizontal scaling options.

Community and Documentation

Python has a rich ecosystem and a vast community. It also offers excellent documentation which covers almost every aspect of its programming language. So, if you’re developing in Python, you’ll find help instantly in official documentation, video, or community.

Rust does fairly in community and documentation. The fact that it is new means a small community with fewer resources to fiddle with. However, its documentation has grown strong each year and offers a comprehensive outlook on what Rust offers.

Which one should you learn?

Choosing between Python and Rust takes work. Both are excellent programming languages. However, you may find that each has its strengths and weaknesses. Rust’s primary goal is to provide developers with the tool to create bug-free, high-performance apps, and services. Its memory management is unmatched, but it can take longer for teams to ship prototypes and final products due to its strict development rules.

In short, you should learn Rust if:

• You want solutions that use concurrency at its core.
• You want to scale your applications to meet users’ demands.
• You want to do low-level programming with access to logical and functional syntax.
• You want your code to be easily maintainable, as Rust’s old codes are compatible with newer versions.
• You want to benefit from the Rust high demand in the market.

Python, on the other hand, excels at prototyping. As a result, learning is easy, and teams can start with Python faster than Rust or any other programming language. Moreover, Python’s modern features, such as functional programming, object-oriented support, and abstractions, are well known to aid development. On top of that, Python is easy to maintain.

You should learn Python if:

• You want to do a data science project and benefit from its extensible visualization options.
• You want to create web apps that are easy to develop and maintain.
• You want to become in demand as a Python developer.
• You want to do web scraping or data extraction.

If you’re entirely new to programming, it is better to start with Python and shift to Rust. For experienced programmers, Rust can feel more powerful. However, you should consider future goals before learning any of these programming language.

In short, always remember that Python and Rust are programming language tools.

They are a way for you to create your desired output. So, pick a tool that lets you reach your goals.

When to use it?

In the previous section, we discussed which one should learn. However, it doesn’t guide you as you still need to figure out when to use Rust or Python. So let’s resolve it in this section.

When to use Rust?

Rust’s low-level performance, zero-cost abstraction, and excellent memory management make it ideal for the following purposes:

• Programming an operating system or microcontroller applications as you can connect to the hardware with Rust’s ability to do low-level programming.
• Rust is also an excellent pick for projects where you need to rewrite replacement software parts’ programming. Rust offers an excellent foreign-function interface so that you can write better-performing code for these parts.
• If you’re working with Embedded systems, you can make the most out of Rust as it can directly access the underlying hardware, including CPU, memory, and storage.

These’re not all the use cases. To better understand Rust’s ability to solve problems, you can see how companies like Figma or Coursera solve their proprietary platform-specific issues.

When to use Python?

Python is a general-purpose programming language that fits various use cases. These include:

• Python is an excellent pick for web development. It has a vibrant web ecosystem where you can use Python frameworks such as Django and Flask to create your web app.
• Python is very effective in data analysis and visualization. It has a rich visualization library and frameworks.
• Python is also a popular machine learning and artificial intelligence choice. It offers dedicated tools and libraries to do ML and AI projects.

Conclusion: Which One is Better?

There is no real winner when it comes to programming language. At the core of each programming language, a philosophy guides it. Python and Rust’s core philosophies are different.

Python’s philosophy is ease-of-use, prototype-friendly, and maintenance-friendly. On the other hand, Rust primarily focuses on giving programmers the tool to develop bug-free, high-performance solutions. This makes Rust hard to learn and use. It also means developers spend more time perfecting the solution before releasing it. However, an almost perfect Rust app means less technical debt and maintenance.

You can choose Python for scientific research, data science, and web development. However, if you’re doing neural network development, WebAssembly development, or blockchain development, Rust seems to be a better choice.

The post Rust vs Python – Is THIS the Language of the FUTURE? appeared first on Simple Programmer.

And if you’re not sure which one fits your project – check out this comparison article, in which we’ll look deeper into Rust vs. Go.

By the end of the comparison, you’ll have a clear picture of what Rust and Go offer. We’ll cover their key features, pros & cons, similarities, and differences and discuss the right pick based on your requirements. 

On top of all these, we’ll also argue that most teams might be able use both to power their applications, and reap benefits over sticking to just one programming language.

So, why the wait? Let’s begin.

What is Rust?

Rust is a high-level, multi-paradigm, memory-safe programming language to solve some of the problems encountered with C++. As it’s inspired by C++, it’s also statically typed and has a similar syntax to C++.

Unlike other modern programming languages, Rust focuses heavily on high-performance and secure applications. So, if you want to create a safe, yet fast app, choosing Rust is the right move.

Rust’s core design philosophy encapsulates many new ideas. These include its ownership and borrowing model, forcing developers to write bug-free code. So, you can write bug-free code as the compiler tells the programmer to fix all the issues beforehand.

Who uses Rust?

Even though Rust is a new programming language (first developed in 2006 by Graydon Horare), it has seen much success.

The first big founding block of Rust is its Rust Foundation. Many big companies, including Google, Microsoft, Amazon, and Dropbox, are part of the foundation. All of these companies are using Rust in their production systems.

Rust is also popular among developers, ranking as the number-one loved language for 7 consecutive years. A few of the exciting use cases for Rust are:

• Figma’s use of Rust to improve front-end experience, and 
• Coursera’s use of Rust to power web-based assignment solutions. 
• Dropbox also uses Rust to improve its file synchronization engine. 
• And one last example worth noting is npm, a JavaScript package manager, which uses Rust for its main service. They chose to go with the language because to avoid bottlenecks in their service.

Rust key features

Rust excels as a fast-performance and memory-safe programming language. It does it with the help of multiple features, including zero-cost abstraction, memory, and thread safety.

It comes with an excellent compiler that offers insights into error messages. You also get pattern matching, move semantics, and type interface.

Two key features are zero-cost abstraction and memory safety.

• Zero-cost abstraction means that Rust can offer low-level memory access while using high-level programming concepts. 
• With no overhead, Rustaceans can create complex applications without worrying about performance penalties.

But, the most fascinating Rust feature is its ownership model that drives memory safe development environment. It enforces a strict rule on how memory can be allocated and accessed through borrowing models, which results in memory-safe programs.

It also offers thread safety, ensuring concurrency programs don’t run into race conditions.

What is Go?

Go (Golang or Go language) is an open-source statically typed programming language that models itself on C. In 2007, Google sought answers to improve productivity, especially around networked machines, large codebases, and multi-core.

Google kept it under its control at first, but open-sourced it after two years, in 2009. Two of the best minds, including Ken Thompson, Robert Gresemer, and Rob Pike, created the Go language. 

Golang’s robust standard library makes it easy to learn and build upon. It offers simplicity like Python and also something called goroutines which make it an excellent programming language for building concurrency-powered apps and services.

Golang is also a great choice for building web apps. Apart from that, it is also great for large projects and multi-core processors. 

In short, Go solves multiple problems, including slow build time, uncontrolled dependencies, difficulty writing automatic tools, and cross-language development.

Who uses Go?

Many companies use Go. These include Google, Netflix, Riot Games, Uber, Twitter, Salesforce, and Paypal. 

For instance, Uber uses Golang for their geofencing service. This service handles the user’s location and Uber’s service availability. Their team quickly shifted to Go as it is easy to learn and gives their geofence service a new life with 99.99% uptime and reliability.

Dropbox, a leading cloud storage company, utilizes Go to scale its systems in the most efficient way. They also shifted to Go from Python for more critical backends, improving concurrency.

Lastly, we have Riot Games — a leading video game developer company that uses Go in most of their products, including their entire backend microservice architecture.

Go key features

Golang excels as a programming language due to its unique take on many programming concepts. Some of its key features include:

Concurrency model: Go excels in concurrency. It offers a concurrency model that lets developers create concurrent operations to operate flawlessly.

The parallelism is achieved by goroutine, an independent Golang function that provides lightweight threads to concurrency.

In addition, Go also offers channels that offer bidirectional communication between goroutines. These channels can include unbuffered and buffered channels, which require present and future values for successful operations.

Lastly, it also uses WaitGroups to make the program wait to finish thread execution.

Standard library: Go has an excellent standard library with access to plenty of pre-written code for easy access and use. This allows developers to implement different features and build apps faster and more efficiently.

However, how is this different from standard libraries of other programming languages, such as Rust or Python? In this case, you can expect libraries that generally need third-party solutions.

Simple to use: Go is simple to use. It offers a simplistic language specification, enabling the team to use Go with less of a learning curve.

For example, simple rules such as making the function name UPPERCASE works wonders to improve readability while keeping everyone using the same formats for better readability.

Static typing: Go is a statically typed programming language. It means you need to tell the compiler the variable type before it starts compilation. This helps with catching errors and ensures better code readability. 

Code package management: Golang offers Go Modules, a built-in package management system. As you grow, you may also add external packages. The Go package manager deals with package dependency by managing installation, updates, and removal.

Rust Pros and Cons

Just like any other programming language, Rust has its pros and cons. Let’s list them below.

Rust Pros

Rust offers excellent performance out of the box while matching C++ performance, thanks to zero-cost abstraction. With it, developers can directly access hardware while having access to high-level paradigms.

Additionally, Rust offers LLVM optimization, HashMap APIs, and much more.

Rust requires low memory to function as it offers excellent memory control. It also doesn’t require Garbage Collector.

Rust’s compiler spits out easy-to-understand error messages.

A solid toolchain eases development workflow, powered by Cargo package manager and others.

The language supports cross-platform development.

Rust Cons

• Rust is relatively new, which means its documentation and libraries haven’t matured yet. This can lead to developers having to adjust their Rust application to new features frequently.
• Rust’s unique approach to ensuring memory safety is not easy to implement. If you’re new to Rust, you must learn and practice how it works. This makes coding Rust apps time-consuming and unsuitable for rapid application development (RAD).
• Rust’s compiler does provide a detailed error message with explanations. But, it fails to create a stack trace which is required for effective debugging. To bypass the cons, developers can use tools such as error-chain.
• Rust’s approach of weeding out every single error means slow compile time.

Go Pros and Cons

Lets look into Golang’s pros and cons:

Pros of Go

• Golang is simple to understand and use. Its simplistic approach makes it great for teams and big projects.
• Offers rich standard libraries with functionalities and features that developers would usually need third-party libraries for.
• A garbage collector for easy memory management.
• Go programming language has Google’s name attached to it
• Go comes with smart documentation 

Cons of Go

• Due to its “easy-to-use” philosophy, Go can facilitate sloppy coding practices – which might end up causing performance issues down the line
• The automated garbage collector can lead to memory safety issues.
• Go is a relatively new language which means it is yet to mature in terms of tooling and some other features.
• No GUI library.

Rust vs Go Comparision

Rust and Go are relatively new programming languages that solve problems with old programming languages such as C and C++. Both are open-source and offers developers the tools to meet modern development requirement.

Below, we’ll go through their similarities and then differences. Let’s get started.

Rust vs Go Similarities

In some regards, Rust and Go are quite similar. Here’s what they have in common:

Open-source

Both Rust and Go are open source. If we look at history, Rust was launched with an open-source tag. It welcomes new developers and contributors to build the community. 

However, the same is not true for Go.

When Go was first created in 2007, it was not open source. Google waited 2 years before making it open source in 2009.

Their open-source nature means better development experience. This way, developers can include their packages in the project and let Rust and Go’s package management handle them by automatically fetching and building the packages.

Performance

Performance-wise, Rust and Go are high-performing programming languages. They enable you to write efficient code using hardware resources directly. 

Concurrency

Concurrency lets developers run tasks in parallel for more efficiency and scalability. Rust and Go offer concurrency models that let developers effectively build apps and solutions utilizing multi-core processors.

Team friendly

Teams need to look into tools that help them collaborate for a long time. In this case, both Rust and Go excel.

For example, both handle code formatting with proper tooling — Gofmt for Golang and rustfmt for Rust. Both automatically format the source code so that team members are always on the same page.

Lastly, we have code readability. Go sports excellent readability similar to Python, and Rust is just slightly behind. This improves code review time – and developers can add new features without spending too much time understanding the code.

Safety

Both Rust and Go programming languages have excellent security out of the box. For instance, any application you create using Rust or Go is completely secure from attacks such as buffer overflows, malware and brute force attacks.

This way, developers don’t have to worry about common security issues and can focus on making their applications more robust and feature-rich.

Additionally, their team works hard to address any core programming language loopholes. Finally, they offer a proper submission methodology, where their team of experts patches the security loophole as soon as possible. 

However, Go and Rust each have unique ways of managing security. We’ll cover this more in detail in the “Security” section under Rust vs. Go differences.

Portability

Developers can create portable applications using Rust or Go. Both follow the “write once, compile anywhere” philosophy. Rust, for example, can work across different operating systems using LLVM compiler infrastructure.

In addition, the infrastructure is capable of running across different hardware architectures. Furthermore, Rust’s standard library offers cross-platform abstractions, making it truly portable.

Go’s portability is enhanced by self-contained runtime, not having to rely on third-party/external libraries to run the program. Just like Rust, Go offers cross-platform abstractions.

Rust vs Go Differences

In this section, we’ll look closely at Rust vs. Go differences. If you’re in a hurry, check out the Rust vs Go comparison table.

Popularity

Undoubtedly, Go is more popular than Rust because Golang was released earlier. This means Go had more time to build a community, related frameworks, libraries, and documentation. It’s backed by the power of Google’s name and its open source status.

If we look at numbers, Go beats Rust by just around 1.8% (11.15% vs. 9.32% in favor of Go) in the most popular technologies. However, Rust has stayed at the top of the most loved programming language for the past 7 years.

According to the TIOBE Index for April 2023, Go is in the 10th position, whereas Rust is in the 19th. The index is a pointer for getting an idea of what’s happening in the world of programming languages from the usage perspective, and they can use it to make strategic decisions.

Learning Curve

As Go values simplicity and a conventional approach, there’s an easy learning curve with the language. This makes it great for teams to pick up Golang quickly and start working on large codebases without feeling bogged down.

Its standard library enriches the Go ecosystem. You can pick the libraries you need and jump into your project.

Rust, on the other hand, has a steep learning curve. It’s because it follows a different philosophy than Go. 

Rust aims to give programmers the tools to create secure and bug-free code. To achieve this, Rust introduces many new concepts and models, including the ownership and borrowing model that requires programmers to think about stack and heap. 

All of these need a lot of time to learn and perfect before programmers become confident to use Rust at the production level. However, once known, Rust can become easier to implement, resulting in a high-performance, secure, and bug-free application.

Performance

Performance is one of the most significant talking points between Rust and Go difference. Considering that both Rust and Golang offer high performance, it is essential to know which one is faster and by how much.

If you check the publicly available Rust versus Go benchmark, you’ll notice that Rust is faster than Go in most scenarios.

On top of that, Rust offers a robust model for developers who want to create fast applications that are also predictable. It gives developers complete control of hardware and reaches maximum performance with reliability.

Go also offers high performance but is created for faster development time, which ends up producing a speed deficit compared to Rust programming language. 

Concurrency

Both Rust and Golang support concurrency. Go has complete concurrency support, whereas Rust’s concurrency is still under active development.

Go implements concurrency with its goroutines. Therefore, it is an excellent alternative to operating system threads as these goroutines threads. These threads can execute Go functions separately and map them to the OS threads. In addition, these threads can safely share data through Go channels.

This approach of complete control over lines gives Go developers full control over its execution and behavior.

So, if you’re building a scalable app that utilizes hardware’s multi-core capacity, then Go is a perfect choice. Golang also fits into high-scale applications. For example, you can use it to build and manage microservices.

Rust’s concurrency model is different as it takes advantage of its ownership and type systems. As the Rust compiler looks for memory issues, most concurrency problems are solved at compile-time. Rust names its approach fearless concurrency, where your code is free from subtle bugs and easy to refactor. 

Rust uses message-passing concurrency, creating channels between threads to send and receive messages. It also has Shared-state concurrency, Sync, and Send traits for easy concurrency management.

Overall, you can implement concurrency in both Rust and Go. However, if you want 

a straightforward approach with excellent concurrency support, Golang comes out ahead.

Memory Management and Safety

Golang uses a garbage collector to manage memory. This means it takes time for the data to get released. It is optimized but does come with some overhead. However, Go’s garbage collector runs periodically.

Rust, on the other hand, doesn’t use any garbage collector. Its approach is rigorous, and it requires the developer to take control of memory management. It would help if you did proper compiler checks to avoid data race conditions, making it very challenging, at least initially.

Updates

Rust is a new programming language that gets a lot of updates. These can be security or feature updates. Rust’s release cycle is set to 6 weeks, but that doesn’t guarantee new features, as some features can take years to develop before being released. 

On average, you can expect anywhere between 10-15 updates per year. This is great for the future of Rust language but can become a headache for developers trying to keep up. It means constantly looking to adjust their application code and the need to learn new things. 

Go, on the other hand, aims to offer a stable experience. It is now almost 15 years old and requires less frequent updates. Go receives two updates on average every year, which is way fewer compared to Rust.

Which one should you learn?

You should choose Rust if:

• you want to create a high-performance application that don’t run into race conditions
• you’re writing an operating system or hardware-level code
• you’re working on memory-safe feature
• you want to create a codebase that is easily maintainable
• you want to have complete control over concurrency threads
• you’re looking to build zero-cost abstraction solutions

You should choose Go if:

• your team wants to pick up a programming language that is easy to learn and work with, individually or as a team.
• you want to take advantage of multi-core modern processors
• you’re building scalable solutions
• you’re building a solution for simplicity and readability
• you want easy syntax
• you want a flexible web development programming language

When to use?

These are the use cases or scenarios for Rust or Go:

Rust

• Programming microcontrollers
• Systems programming

Go

• Building server-side applications, microservices, or network programming
• Creating Web APIs
• Web development
• Databases development

Final Words

Rust vs. Go — a fight of modern programming languages where you’re the only winner. As a programmer, team, manager, or developer, your job is to pick a programming language that fits your requirements. That’s why it doesn’t matter if Rust is better than Go or Go is better than Rust.

If you’ve been following along, you’ll have noticed that Rust and Golang have common grounds, be it performance, memory safety, concurrency, and their open source nature. However, there are differences in how each programming language achieves its goals.

Undoubtedly, picking Rust can be a challenging decision. But nothing can beat Rust if you’re creating a high-performance app where memory safety is crucial, with complete control over threads and hardware interaction.

Similarly, Go lends itself for use in big teams – with similar features to Rust, while offering simplicity, ease of learning, and an excellent standard library.

So, which one are you picking for your project? Comment below and let us know.

The post Rust vs Go – Comparison and How Each Fits Your Needs appeared first on Simple Programmer.

So, if you’re an aspirant looking to get a Rust developer position, or a hiring manager looking for questions to test your candidates‘ Rust knowledge, we got you the best Rust interview questions.

Before you start

Let’s give you a quick overview of some general things before you get started. This will help you set your expectations for Rust jobs as a candidate.

• The average salary for Rust developers is $120K per annum.
• The range of Rust dev salaries starts at $60K per annum for junior developers and goes up to $140K per annum for senior developers.
• The Rust market is currently growing. This means that not only is the developer pool increasing, but the number of jobs along with it. In short: There’s plenty of market demand for Rust developers.
• Huge companies like Dropbox, Mozilla, CloudFlare, and even Discord use Rust to power their systems.

With this overview out of the way—here are your sample questions and answers:

25+ Rust Interview Questions and Answers

1. What is Rust?

Rust is a high-performance multi-purpose programming language. It is reliable and offers a rich type of system with no runtime. It provides an ownership model that makes it thread and memory safe. Its user-friendly compiler shows detailed errors for bug-free development. These make it an excellent pick for building tools, servers, and web apps.

2. What are the benefits of Rust?

There’re many benefits to using Rust:

• Rust features faster execution and low-level access, similar to C and C++. But at the same time, it offers safety similar to a high-level programming language. Due to no runtime, it is ideal for high-performance-critical services and embedded solutions.
• Rust’s memory-safety approach means that it lets developers write bug-free applications. It manages to prevent data races, especially when running concurrent threads. 

In short, Rust enables developers to build bug-free, high-performance, and robust software.

3. Explain Rust’s ownership model?

Rust manages memory through an ownership model. The model has a strict set of rules for the developer to write their programs. This leads to compile-time checks, resulting in bug-free programs. In other words, programmers must write code that takes care of memory from the onset.

The ownership rule can be summarized as follows:

• In Rust, each value has an owner.
• Only one owner at a time can be present.
• When the owner goes out of the scope, the value is dropped.

4. What is borrowing in Rust?

Borrowing in Rust is accessing variable value without taking ownership. Instead, the borrow checker carries the transaction and ensures references are valid while providing strict rules around data mutability. 

A variable, once borrowed, can have its value read. Sometimes, the value can be modified depending on the access level. This simple technique allows Rust developers to write memory-safe programs devoid of common programming mistakes.

5. Can you create infinite loop in Rust? If yes, how so?

You can use the handy loop keyword to create the infinite loop.

$ rust loop {// …. }

6. How are Stack and Heap used in Rust?

Stack and Heap play a crucial role in Rust’s memory management. For optimal memory management, both must be used. However, as Heap is less organized and slower than Stack, it is best to avoid directly accessing Heap. 

To circumvent the problem, the coder can use Stack to store the Heap pointer, which points to the actual heap location. This method is faster. 

Also, using Stack is a better choice when using fixed-sized data types. In case of no fixed data size, Heap must be used. Also, the programmer should delete data on Heap once not required. It minimizes duplicate data to ensure the program doesn’t run out of space.

7. Why doesn’t Rust use a garbage collector?

Rust doesn’t use a garbage collector because memory management is done through the ownership model. A garbage collector is unnecessary as all checks are done during compile time.

However, technically, Rust has a static garbage collector that makes sure that memory that is not in use is recycled before any other program or variable tries to access it. 

8. What is Cargo?

Cargo is a popular Rust package manager that lets developers manage packages and libraries. It is an excellent tool, especially when working with complex projects.

For example, it’ll take care of your Rust package’s dependencies, automatically downloading and compiling them. It is also intelligent enough to ignore build files when you use Git.

9. Which command do you use to create a new project in Rust?

You can use the cargo new command to create a new project. However, you can also approach the method manually by creating the necessary Rust files and folders. However, the cargo package manager makes Rust project handling easy and intuitive.

10. How do you use cargo to build and test Rust code?

Cargo offers plenty of commands to build and test Rust code. To create a new Rust program, use Cargo new to create a new project.

To build the project, use thr Cargo build command. And to test the project, Cargo test. It opens up the debug mode and runs the test suite.

You can run the Cargo check command to check whether the program compiles quickly. And, if you want to run and build a project together, use the Cargo run command.

11. How you convert a normal Rust program to Cargo compatible?

Changing a non-cargo project to Cargo requires you to do two steps:

• Move your main.rs file to the src directory
• And create a Cargo.toml file.

In the Cargo.toml file, you want to add the necessary structure, which includes [package] and [dependencies].

The default code for Cargo.toml is:

[package]

name = “guessing_game”

version = “0.1.0”

edition = “2021”

# See more keys and their definitions in the Rust Documentation

[dependencies]

12. What is Rust Reference &?

The & symbol creates a reference to a value. Once created, the value is borrowed.

fn main() {
    let x = 5;
    let y = &x;
    println!("{}", y);
}

13. What is Rust Macro? And how it is different from a function?

Rust offers macros like println! It refers to a set of features in Rust.

Technically, macros deal with metaprogramming, where a set of code/way of writing code generates other code. It helps reduce the amount of code which in return reduces code maintenance.

A macro differs from a function in how they are declared and executed. In Rust functions, it is essential to declare the type and number of parameters. Macros don’t require this approach and can take one or more parameters.

Another big difference is that macros are expanded before the compiler intercepts them, which is invalid for Rust functions.

14. Tell us about the rustfmt automatic formatter tool 

rustfmt is a useful Rust development tool with automatic formatting based on the community code style.

This improves collaboration and prevents any issues related to code style. So, if the team uses rustfmt, everyone follows the same style.

To add rustfmt to the project, run the following command:

$ rustup component add rustfmt

15. Explain error handling in Rust.

Error handling in Rust works differently compared to other programming languages. Here, Rust doesn’t use exceptions but instead breaks the errors into two categories: recoverable and unrecoverable.

Recoverable errors are errors that can be solved or are primarily user based. For example, file not found error. In case of recoverable errors, the program doesn’t stop and asks for a retry from the user. 

In case of an unrecoverable error, Rust initiates its panic macro. It prints the message, unwinds, cleans the stack, and quits. Examples of unrecoverable errors include accessing an array beyond its length.

16. Is Rust ready for web?

Rust is ready for the web if you consider production-ready frameworks such as Axum and Actix Web. On top of that, other popular Rust web frameworks like Warp and Tide exist.

These frameworks are complete web solutions and give developers access to essential tools, including templating, routing, middleware, and form handling. And you have crates and databases such as SQLx and Diesel. 

Rust for the web can be a game changer considering that developers can take advantage of WebAssembly. 

17. What are common data type in Rust?

Rust common data types include integers, booleans, floating-point numbers, and characters.

18. What is the purpose of the mut keyword in Rust?

In Rust, variables are immutable. This safety-first approach makes Rust bug-free and offers excellent concurrency. The mut keyword tells the Rust compiler that the variable is now mutable. 

let mut guess = String::new()

In the above code, a mutable guess variable is created. It is also bound to an empty String instance.

19. Does Rust have any disadvantages? If it does, mention them.

Rust does have some disadvantages, similar to any other programming language. These disadvantages include:

• Rust compilation takes time to complete
• Rust’s borrowing system is complicated.
• Rust has a higher learning curve, which could be a challenge in situations where the team needs to learn Rust in a timely manner for an upcoming project.
• Rust is still new, which means that many of its libraries are not yet complete

20. How you declare global variable in Rust?

To declare a global variable in Rust, use the const keyword. You can also use the static keyword to declare a global variable which gives the mutable variable status. However, it is not recommended to use static as it is an unsafe practice.

21. What purpose does Cargo.lock file offer?

The Cargo.lock file keeps a tab on all application dependencies.

22. Can operating systems be written in Rust?

Rust is a multi-purpose programming language. It is equipped with all the low-level access features and hence offers appropriate features to write a complete operating system. For example, Redox and Google’s KataOS are written in Rust.

23. What is the difference between emum and struct in Rust?

A struct in Rust is a data type you can use to create your custom data type. It is helpful to encapsulate data and then access it later on. For example, in a struct, you can create multiple fields where each field can have its data type.

Below is the example:

struct Omega {
    x: i32,
    y: i32,
    z: "string"
}


fn main() {
    let p = Omega { x: 1, y: 2, z: "hello" };
    println!("{} {} {}", p.x, p.y, p.z);
}


#output
1 2 hello
```
</code></pre>
<!-- /wp:code -->

<!-- wp:paragraph -->
<p><strong>Enum, </strong>on the other hand, lets you create a type with different variants.</p>
<!-- /wp:paragraph -->

<!-- wp:code -->
<pre class="wp-block-code"><code># enum example in Rust
```rust
// Language: rust
enum Direction {
    Up,
    Down,
    Left,
    Right
}

24. Provide impl block example in Rust.

An impl block in Rust lets you implement Rust’s struct and enum data types.

# example of impl block in Rust
impl Direction {
    fn as_str(&self) -> &'static str {
        match *self {
            Direction::Up => "up",
            Direction::Down => "down",
            Direction::Left => "left",
            Direction::Right => "right",
        }
    }
}

25. Write an example of a generic Rust function

Rust trait lets programmers define shared behavior for shared types. It can hold more than one method for an unknown type Self.

trait Animal {
    fn new(name: &'static str) -> Self;
    fn name(&self) -> &'static str;
    fn talk(&self) {
        println!("{} cannot talk", self.name());
    }
}

26. What can you create with Rust?

Rust is a general-purpose language. You can use it in domains like web servers, databases, operating systems, and real-time and secure applications.

Candidate-specific questions

In any interview, the interviewer asks questions you have to answer by filling in your own experience. These questions can include

• Tell us about your Rust projects.
• Please walk us through the architecture of one of your Rust projects.
• What is the most challenging task you did related to Rust? And how did you manage to overcome it?

You can practice answering these questions beforehand so that you’ll be able to handle them with confidence.

Overall, Rust programming is relatively new. If you’re applying for a beginner-level Rust job, your questions will mostly cover beginner stuff. For experienced developers changing their careers, most questions would be advanced or Rust project specific.

The post 25+ Rust Interview Questions and Answers appeared first on Simple Programmer.