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  1. Stackups
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  5. C++ vs Scala

C++ vs Scala

OverviewDecisionsComparisonAlternatives

Overview

Scala
Scala
Stacks11.9K
Followers7.8K
Votes1.5K
GitHub Stars14.4K
Forks3.1K
C++
C++
Stacks18.2K
Followers9.4K
Votes866

C++ vs Scala: What are the differences?

Introduction

C++ and Scala are two popular programming languages commonly used for different software development purposes. While C++ is a statically-typed, compiled language that is widely used for systems programming and game development, Scala is a statically-typed, JVM-based language mainly used for building scalable applications. Although both languages have similarities, they also have key differences that set them apart. In the following paragraphs, we will explore some of the major differences between C++ and Scala.

  1. Syntax and Expressiveness: C++ has a more verbose and complex syntax compared to Scala. C++ code tends to be longer and require more boilerplate code for common tasks. On the other hand, Scala has a more concise and expressive syntax, allowing developers to write cleaner code and achieve more functionality with fewer lines of code.

  2. Object-oriented vs. Functional programming: While both C++ and Scala support object-oriented programming (OOP), Scala also includes strong functional programming (FP) capabilities. Scala has first-class functions, immutability by default, and supports higher-order functions, pattern matching, and functional composition. C++ focuses primarily on OOP and procedural programming, but it also supports some FP concepts through libraries like the Standard Template Library (STL) and lambda expressions introduced in C++11.

  3. Memory Management: In C++, memory management is done manually by the developer using constructs like pointers, new and delete operators, and smart pointers. This gives the developer fine-grained control over memory allocation and deallocation, but it also introduces the risk of memory leaks and segmentation faults if not handled properly. In contrast, Scala uses automatic memory management through a garbage collector, relieving the developer from the burden of explicit memory management.

  4. Concurrency and Parallelism: C++ provides low-level support for concurrency through features like threads, mutexes, and condition variables. However, managing concurrent code in C++ can be complex and error-prone. Scala, on the other hand, provides higher-level abstractions for concurrency and parallelism, such as actors and the Akka toolkit. These abstractions make it easier to write concurrent and parallel code by handling the complexities of thread synchronization and message passing.

  5. Type System: C++ has a strong and static type system that requires explicit type annotations and supports explicit type casts. This can be beneficial for performance and fine-grained control over memory layout. However, it can also make the code more verbose and prone to type-related errors. Scala, with its static type system, provides type inference, which can reduce the need for explicit type annotations while still ensuring type safety.

  6. Ecosystem and Tooling: C++ has a mature ecosystem with a wide range of libraries, frameworks, and tools available for various domains, such as game development, embedded systems, and high-performance computing. It also has a comprehensive build system, like CMake. Scala, being based on the Java Virtual Machine (JVM), benefits from the rich Java ecosystem, including libraries like Apache Spark for big data processing and Play Framework for web development. It also has robust build tools like sbt and a powerful IDE support with IntelliJ IDEA and Scala-specific plugins.

In summary, C++ and Scala differ in terms of syntax, programming paradigms, memory management, concurrency models, type systems, and ecosystem/tooling. While C++ is known for its performance, control, and low-level capabilities, Scala offers expressiveness, conciseness, and higher-level abstractions for concurrency and functional programming. The choice between the two languages depends on the specific requirements of the project and the developers' preferences.

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Advice on Scala, C++

Nicholas
Nicholas

Jan 29, 2021

Decided

I am working in the domain of big data and machine learning. I am helping companies with bringing their machine learning models to the production. In many projects there is a tendency to port Python, PySpark code to Scala and Scala Spark.

This yields to longer time to market and a lot of mistakes due to necessity to understand and re-write the code. Also many libraries/apis that data scientists/machine learning practitioners use are not available in jvm ecosystem.

Simply, refactoring (if necessary) and organising the code of the data scientists by following best practices of software development is less error prone and faster comparing to re-write in Scala.

Pipeline orchestration tools such as Luigi/Airflow is python native and fits well to this picture.

I have heard some arguments against Python such as, it is slow, or it is hard to maintain due to its dynamically typed language. However cost/benefit of time consumed porting python code to java/scala alone would be enough as a counter-argument. ML pipelines rarerly contains a lot of code (if that is not the case, such as complex domain and significant amount of code, then scala would be a better fit).

In terms of performance, I did not see any issues with Python. It is not the fastest runtime around but ML applications are rarely time-critical (majority of them is batch based).

I still prefer Scala for developing APIs and for applications where the domain contains complex logic.

198k views198k
Comments
Rachel
Rachel

Nov 24, 2020

Needs adviceonJavaScriptJavaScriptPythonPythonC++C++

Hi, I'm just starting to learn code, and I stumbled upon this website. I think I should learn JavaScript, Python, and C++ to begin with. I'm a quick learner so I am only worried about what would be more useful. Suppose my goal is to build an online clothing store or something. Then what languages would be best? I need advice. Please help me out. I'm 13 and just beginning and it's hard to understand when people use technical terms so please keep it simple. Thanks a lot.

292k views292k
Comments
Xiang
Xiang

Feb 23, 2021

Decided

Python has become the most popular language for machine learning right now since almost all machine learning tools provide service for this language, and it is really to use since it has many build-in objects like Hashtable. In C, you need to implement everything by yourself.

C++ is one of the most popular programming languages in graphics. It has many fancy libraries like eigen to help us process matrix. I have many previous projects about graphics based on C++ and this time, we also need to deal with graphics since we need to analyze movements of the human body. C++ has much more advantages than Java. C++ uses only compiler, whereas Java uses compiler and interpreter in both. C++ supports both operator overloading and method overloading whereas Java only supports method overloading. C++ supports manual object management with the help of new and delete keywords whereas Java has built-in automatic garbage collection.

381k views381k
Comments

Detailed Comparison

Scala
Scala
C++
C++

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.

C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

Statistics
GitHub Stars
14.4K
GitHub Stars
-
GitHub Forks
3.1K
GitHub Forks
-
Stacks
11.9K
Stacks
18.2K
Followers
7.8K
Followers
9.4K
Votes
1.5K
Votes
866
Pros & Cons
Pros
  • 188
    Static typing
  • 178
    Pattern-matching
  • 175
    Jvm
  • 172
    Scala is fun
  • 138
    Types
Cons
  • 11
    Slow compilation time
  • 7
    Multiple ropes and styles to hang your self
  • 6
    Too few developers available
  • 4
    Complicated subtyping
  • 2
    My coworkers using scala are racist against other stuff
Pros
  • 205
    Performance
  • 108
    Control over memory allocation
  • 99
    Cross-platform
  • 98
    Fast
  • 85
    Object oriented
Cons
  • 8
    Unsafe
  • 8
    Slow compilation
  • 6
    Fragile ABI
  • 6
    Over-complicated
  • 5
    No standard/mainstream dependency management
Integrations
Java
Java
No integrations available

What are some alternatives to Scala, C++?

JavaScript

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

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

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

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

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

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

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#

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.

Elixir

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.

Swift

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.

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