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  1. Stackups
  2. Application & Data
  3. Templating Languages & Extensions
  4. CSS Pre Processors Extensions
  5. MATLAB vs Sass

MATLAB vs Sass

OverviewDecisionsComparisonAlternatives

Overview

Sass
Sass
Stacks44.8K
Followers32.2K
Votes3.0K
GitHub Stars15.3K
Forks2.2K
MATLAB
MATLAB
Stacks1.1K
Followers702
Votes37

MATLAB vs Sass: What are the differences?

  1. Syntax Differences: One key difference between MATLAB and Sass is their syntax. MATLAB is primarily used for numerical computing with a syntax that resembles traditional programming languages, while Sass is a preprocessor scripting language that is used to extend the capabilities of CSS. MATLAB uses a more mathematical syntax, including operators like addition (+), subtraction (-), multiplication (*), and division (/), whereas Sass uses a syntax that includes variables, functions, and mixins to generate CSS styles.

  2. Purpose and Application: MATLAB is commonly used in engineering and scientific fields for data analysis, algorithm development, and modeling, while Sass is mainly used for web development to streamline the process of writing CSS stylesheets. MATLAB is focused on mathematical computations and simulations, while Sass simplifies CSS authoring by enabling variables, nesting, and functions.

  3. Environment: MATLAB is an interactive computing environment with a graphical user interface, making it easier to visualize data, plot graphs, and debug code. In contrast, Sass is a command-line tool that runs on top of a CSS file, allowing developers to write more maintainable and efficient stylesheets but lacking the graphical interface capabilities of MATLAB.

  4. Support and Community: MATLAB has a large user base in academic and research communities, with extensive documentation and support from MathWorks, the company behind MATLAB. On the other hand, Sass has a thriving community of web developers and designers who contribute to its development and provide support through forums, blogs, and online resources.

  5. Learning Curve: MATLAB can have a steeper learning curve for beginners due to its focus on numerical computing and scientific applications, requiring a solid understanding of algorithms and data structures. Sass, while easier to learn for those familiar with CSS, may still pose a challenge for beginners due to its more advanced features like mixins and functions.

  6. Cost and Accessibility: MATLAB is a proprietary software that requires a license for commercial use, making it less accessible for individual developers or small businesses. Sass, being an open-source preprocessor, is freely available for anyone to use and modify, making it a more cost-effective option for web development projects.

In Summary, MATLAB and Sass differ in syntax, purpose, environment, support, learning curve, and cost/accessibility, catering to distinct user needs and applications.

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Advice on Sass, MATLAB

Anonymous
Anonymous

CEO at ME!

Jun 17, 2020

Needs adviceonSassSassStylusStylusPostCSSPostCSS

Originally, I was going to start using @{Sass}|tool:1171| with Parcel, but then I learned about @{Stylus}|tool:1172|, which looked interesting because it can get the property values of something directly instead of through variables, and @{PostCSS}|tool:3339|, which looked interesting because you can customize your Pre/Post-processing. Which tool would you recommend?

547k views547k
Comments

Detailed Comparison

Sass
Sass
MATLAB
MATLAB

Sass is an extension of CSS3, adding nested rules, variables, mixins, selector inheritance, and more. It's translated to well-formatted, standard CSS using the command line tool or a web-framework plugin.

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.

Statistics
GitHub Stars
15.3K
GitHub Stars
-
GitHub Forks
2.2K
GitHub Forks
-
Stacks
44.8K
Stacks
1.1K
Followers
32.2K
Followers
702
Votes
3.0K
Votes
37
Pros & Cons
Pros
  • 613
    Variables
  • 594
    Mixins
  • 466
    Nested rules
  • 410
    Maintainable
  • 300
    Functions
Cons
  • 6
    Needs to be compiled
Pros
  • 20
    Simulink
  • 5
    Model based software development
  • 5
    Functions, statements, plots, directory navigation easy
  • 3
    S-Functions
  • 2
    REPL
Cons
  • 2
    Does not support named function arguments
  • 2
    Doesn't allow unpacking tuples/arguments lists with *
  • 2
    Parameter-value pairs syntax to pass arguments clunky
  • 1
    Costs a lot

What are some alternatives to Sass, MATLAB?

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.

Scala

Scala

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.

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.

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