MATLAB vs Perl

Overview

Perl

Stacks4.3K

Followers935

Votes575

GitHub Stars2.2K

Forks602

MATLAB

Stacks1.1K

Followers702

Votes37

MATLAB vs Perl: What are the differences?

Syntax: One key difference between MATLAB and Perl is their syntax. MATLAB is designed for numerical computations and uses a more concise and mathematical syntax, while Perl is a versatile scripting language with a more flexible and general-purpose syntax.
Application: MATLAB is commonly used for mathematical modeling, simulation, and analysis, especially in engineering and scientific fields, whereas Perl is often used for text processing, system administration, web development, and network programming.
Interactivity: MATLAB provides an interactive computing environment with a Command Window for immediate execution of commands and visualizing results, whereas Perl is typically used for writing scripts that run from start to finish without interactive communication.
Built-in Functions: MATLAB comes with a large number of built-in functions and toolboxes tailored for mathematical calculations and data analysis, whereas Perl relies on external libraries and modules for specific functionalities.
Data Structures: MATLAB offers matrix and array manipulation as core data structures, making it well-suited for linear algebra and signal processing tasks, while Perl provides various data structures like arrays, hashes, and scalars for more general data handling.
Typing System: MATLAB is a dynamically typed language where variables are assigned data types during runtime, while Perl is a dynamically typed language with support for strong type checking to ensure data integrity.

In Summary, the key differences between MATLAB and Perl lie in their syntax, application, level of interactivity, built-in functions, data structures, and typing system.

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Advice on Perl, MATLAB

Rubin

Software Cloud Developer at RUBIN THOMAS

Oct 8, 2020

Review

As a developer myself, I would recommend you not to restrict yourself to JAVA, PHP or any other language. New Tools/languages keep coming every day. If you do plan to move to freelancing. PHP has a lot of options in the freelance space and a lot of competition too.

Learning PHP is as simple as learning any other language. It depends merely on your interest.

Personally if you can code, you should not restrict yourself. I have had to code in many languages, PHP, Perl, shell script, Python, Java, Javascript, Ruby etc... I would keep your developing skills and logic, algorithms etc.. and increase your knowledge and experience in the different languages.

I agree with you JAVA is a lot more time consuming. But it also has its enterprise level scope.

At the same time learning a new language should not be a barrier for you to stop exploring what's out there and keeping your skills up to date. Learning new technologies should be your primary focus and getting project out of your stack helps you build a good reputation.

There are many options for you to pursue. Having an open mindset will help you move forward. If you look to learn now, you are setting yourself up for a brighter future.

684k views684k

Comments

Ayush

May 17, 2022

Needs adviceon

Perl

Rust

AWS Lambda

I intend to use a programming language which I'll use as AWS runtime and write a script that will comb through tons of files in a directory and its subdirectories and search for simple text regular expressions and process and write the matches in a file as output. I have heard that Perl is good for regex based search but I also want the performance to be good as it will have to go through tons of files for IO. In this post: https://filia-aleks.medium.com/aws-lambda-battle-2021-performance-comparison-for-all-languages-c1b441005fd1, I see that Rust works well as AWS Lambda runtime with very good performance. Which one should I choose as my AWS lambda runtime for this problem? Golang is also an option as it is fast as per the above link.

170k views170k

Comments

Detailed Comparison

Perl	MATLAB
Perl is a general-purpose programming language originally developed for text manipulation and now used for a wide range of tasks including system administration, web development, network programming, GUI development, and more.	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 2.2K	GitHub Stars -
GitHub Forks 602	GitHub Forks -
Stacks 4.3K	Stacks 1.1K
Followers 935	Followers 702
Votes 575	Votes 37
Pros & Cons
Pros 72 Lots of libraries 66 Open source 61 Text processing 54 Powerful 49 Unix-style Cons 4 Messy $/@/% syntax 3 No exception handling 2 "1;" 2 No OS threads 2 Bad OO support	Pros 20 Simulink 5 Functions, statements, plots, directory navigation easy 5 Model based software development 3 S-Functions 2 REPL Cons 2 Doesn't allow unpacking tuples/arguments lists with * 2 Does not support named function arguments 2 Parameter-value pairs syntax to pass arguments clunky 1 Costs a lot

What are some alternatives to Perl, MATLAB?

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 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

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

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 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

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 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# (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 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 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.

Related Comparisons

MATLAB vs Perl: What are the differences?

Syntax: One key difference between MATLAB and Perl is their syntax. MATLAB is designed for numerical computations and uses a more concise and mathematical syntax, while Perl is a versatile scripting language with a more flexible and general-purpose syntax.
Application: MATLAB is commonly used for mathematical modeling, simulation, and analysis, especially in engineering and scientific fields, whereas Perl is often used for text processing, system administration, web development, and network programming.
Interactivity: MATLAB provides an interactive computing environment with a Command Window for immediate execution of commands and visualizing results, whereas Perl is typically used for writing scripts that run from start to finish without interactive communication.
Built-in Functions: MATLAB comes with a large number of built-in functions and toolboxes tailored for mathematical calculations and data analysis, whereas Perl relies on external libraries and modules for specific functionalities.
Data Structures: MATLAB offers matrix and array manipulation as core data structures, making it well-suited for linear algebra and signal processing tasks, while Perl provides various data structures like arrays, hashes, and scalars for more general data handling.
Typing System: MATLAB is a dynamically typed language where variables are assigned data types during runtime, while Perl is a dynamically typed language with support for strong type checking to ensure data integrity.

In Summary, the key differences between MATLAB and Perl lie in their syntax, application, level of interactivity, built-in functions, data structures, and typing system.

MATLAB vs Perl

Overview