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MATLAB vs Racket: What are the differences?

Introduction

In this article, we will compare and contrast the key differences between MATLAB and Racket. Both MATLAB and Racket are programming languages used for different purposes. MATLAB is primarily used for numerical computing and scientific research, whereas Racket is a general-purpose programming language designed for creating software systems.

1. Syntax and Purpose:

Matlab has a proprietary scripting language that is specifically designed for numerical computations. It provides a simple and concise syntax for performing mathematical operations and analyzing data. In contrast, Racket is a general-purpose programming language with a more flexible and expressive syntax. Racket is designed to support a wide range of programming paradigms, including functional, imperative, and object-oriented programming.

2. Environment and Tools:

MATLAB provides an integrated development environment (IDE) with a graphical user interface. It offers a wide range of built-in functions and toolboxes for various scientific computations. Racket, on the other hand, provides a programming environment with a command-line interface and separate tools for package management and documentation generation. Racket's community-driven package ecosystem allows users to extend its functionality with additional libraries.

3. Typing and Dynamicity:

MATLAB is a dynamically typed language, where variable types are determined at runtime. It allows for easier and faster prototyping of mathematical algorithms. In contrast, Racket is a statically typed language, where variable types are checked at compile time. This provides better reliability and performance optimizations but requires explicit type annotations and may add overhead in development time.

4. Programming Paradigms and Features:

MATLAB has built-in support for matrix operations and vectorization, making it ideal for linear algebra and numerical analysis tasks. It also provides toolboxes for various domains such as signal processing, image processing, and control systems. Racket, on the other hand, supports a wider range of programming paradigms, including functional programming, macros, and domain-specific languages. It also provides powerful metaprogramming capabilities, allowing users to extend the language itself.

5. Community and Documentation:

MATLAB has a large and established user community, with extensive documentation and online resources available. It has been widely used in academic research and industry for many years. Racket, while less popular, also has an active community and comprehensive documentation. Racket's community-driven development model ensures continuous improvement and innovation.

6. Licensing and Cost:

MATLAB is a proprietary software and requires a license to use. The cost of a MATLAB license can be significant, especially for commercial use. In contrast, Racket is an open-source programming language and is available for free. This makes Racket a more accessible choice for students, educators, and developers on a tight budget.

In summary, MATLAB and Racket differ in terms of their syntax, purpose, environment, typing, programming paradigms, community, and cost. MATLAB is specialized for numerical computing and offers a user-friendly IDE, while Racket is a general-purpose language with a flexible syntax and extensive community support.

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Pros of MATLAB
Pros of Racket
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
  • 1
    Simple variabel control
  • 1
    Solve invertible matrix
  • 3
    Meta-programming
  • 3
    Hygienic macros
  • 2
    Pattern matching
  • 2
    Module system
  • 2
    Beginner friendly
  • 2
    Fast
  • 2
    Gradual typing
  • 2
    Nanopass compiler
  • 2
    Extensible
  • 2
    Racket Macro system
  • 2
    Cross platform GUI
  • 2
    Macro Stepper
  • 2
    Built-in concurrency
  • 2
    Built-in parallelism
  • 2
    Functional Programming
  • 2
    Open source
  • 2
    Language-oriented programming
  • 2
    FFI
  • 2
    Great libraries
  • 2
    Beautiful code
  • 2
    Rapid development
  • 1
    Racketscript
  • 1
    Great community
  • 1
    Typed Racket
  • 1
    IDE
  • 1
    Good documentation

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Cons of MATLAB
Cons of Racket
  • 2
    Parameter-value pairs syntax to pass arguments clunky
  • 2
    Doesn't allow unpacking tuples/arguments lists with *
  • 2
    Does not support named function arguments
  • 2
    LISP BASED
  • 2
    No GitHub

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What is 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.

What is Racket?

It is a general-purpose, multi-paradigm programming language based on the Scheme dialect of Lisp. It is designed to be a platform for programming language design and implementation. It is also used for scripting, computer science education, and research.

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What companies use MATLAB?
What companies use Racket?
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What tools integrate with Racket?

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What are some alternatives to MATLAB and Racket?
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.
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.
Octave
It is software featuring a high-level programming language, primarily intended for numerical computations. Octave helps in solving linear and nonlinear problems numerically, and for performing other numerical experiments using a language that is mostly compatible with MATLAB.
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.
See all alternatives