JavaScript vs MATLAB vs Python

Overview

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

JavaScript

Stacks392.3K

Followers284.0K

Votes8.1K

MATLAB

Stacks1.1K

Followers702

Votes37

JavaScript vs MATLAB vs Python: What are the differences?

Syntax: JavaScript, MATLAB, and Python have different syntaxes. JavaScript uses curly braces {} to define blocks of code and uses semicolons ; to end statements. MATLAB also uses semicolons to end statements, but it uses keywords like "end" to define blocks of code. Python, on the other hand, uses indentation with spaces or tabs to define blocks of code, and does not require semicolons to end statements.
Data Types: JavaScript, MATLAB, and Python have different data types. JavaScript has dynamic typing, which means that variables can hold values of any data type and can change their type during runtime. MATLAB is primarily used for numerical computations and supports built-in matrix data types, such as arrays and matrices. Python also supports arrays and matrices, but it has a wider range of built-in data types, including lists, tuples, dictionaries, and sets.
Functionality: JavaScript, MATLAB, and Python have different functionalities. JavaScript is primarily used for scripting interactive web pages and web applications, and it has a strong focus on manipulating the Document Object Model (DOM) of web pages. MATLAB is designed for mathematical computations and numerical analysis, and it has built-in functions for linear algebra, signal processing, and other mathematical operations. Python is a general-purpose programming language that can be used for a wide range of applications, such as web development, data analysis, machine learning, and scientific computing.
Libraries and Packages: JavaScript, MATLAB, and Python have different libraries and packages available. JavaScript has a wide range of libraries and frameworks for web development, such as React, Angular, and jQuery. MATLAB has its own extensive collection of toolboxes for various domains, such as signal processing, image processing, and control systems. Python has a rich ecosystem of libraries and packages, including NumPy for numerical computations, Pandas for data analysis, Matplotlib for data visualization, and TensorFlow for machine learning.
Execution Environment: JavaScript, MATLAB, and Python have different execution environments. JavaScript is typically executed by web browsers, although it can also be used with server-side platforms like Node.js. MATLAB has its own integrated development environment (IDE) called MATLAB Desktop, which provides a command window for executing commands and a script editor for writing and running scripts. Python can be executed in various ways, such as through its default interpreter, command line, or integrated development environments like PyCharm or Jupyter Notebook.
Community and Support: JavaScript, MATLAB, and Python have different levels of community and support. JavaScript is one of the most widely used programming languages for web development, and it has a large community of developers who contribute to open-source projects, provide tutorials, and offer support through forums and online communities. MATLAB has a smaller but dedicated community of users, especially in academic and research fields. Python has a large and active community, with extensive documentation, online forums, and tutorials available, making it easier to find help and resources.

In Summary, JavaScript, MATLAB, and Python differ in syntax, data types, functionality, libraries, execution environments, and levels of community support.

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Advice on Python, JavaScript, MATLAB

Thomas

Talent Co-Ordinator at Tessian

Mar 11, 2020

Decided

In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.

263k views263k

Comments

Avy

Apr 8, 2020

Needs adviceon

React Native

Python

Flutter

I've been juggling with an app idea and am clueless about how to build it.

A little about the app:

Social network type app ,
Users can create different directories, in those directories post images and/or text that'll be shared on a public dashboard .

Directory creation is the main point of this app. Besides there'll be rooms(groups),chatting system, search operations similar to instagram,push notifications

I have two options:

@{React Native}|tool:2699|, @{Python}|tool:993|, AWS stack or
@{Flutter}|tool:7180|, @{Go}|tool:1005| ( I don't know what stack or tools to use)

722k views722k

Comments

Ítalo

VP Platform Engineering at Lykon

Feb 19, 2020

Decided

We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.

In the end the solution was much cleaner and maintainable.

261k views261k

Comments

Detailed Comparison

Python	JavaScript	MATLAB
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.	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.	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 69.7K	GitHub Stars -	GitHub Stars -
GitHub Forks 33.3K	GitHub Forks -	GitHub Forks -
Stacks 262.9K	Stacks 392.3K	Stacks 1.1K
Followers 205.4K	Followers 284.0K	Followers 702
Votes 6.9K	Votes 8.1K	Votes 37
Pros & Cons
Pros 1186 Great libraries 966 Readable code 848 Beautiful code 789 Rapid development 692 Large community Cons 53 Still divided between python 2 and python 3 28 Performance impact 26 Poor syntax for anonymous functions 22 GIL 20 Package management is a mess	Pros 1671 Can be used on frontend/backend 1497 It's everywhere 1163 Lots of great frameworks 899 Fast 746 Light weight Cons 24 A constant moving target, too much churn 20 Horribly inconsistent 16 Javascript is the New PHP 9 No ability to monitor memory utilitization 8 Shows Zero output in case of ANY error	Pros 20 Simulink 5 Model based software development 5 Functions, statements, plots, directory navigation easy 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
Integrations
Django	No integrations available	No integrations available

What are some alternatives to Python, JavaScript, MATLAB?

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.

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.

Rust

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Related Comparisons

JavaScript vs MATLAB vs Python: What are the differences?

Syntax: JavaScript, MATLAB, and Python have different syntaxes. JavaScript uses curly braces {} to define blocks of code and uses semicolons ; to end statements. MATLAB also uses semicolons to end statements, but it uses keywords like "end" to define blocks of code. Python, on the other hand, uses indentation with spaces or tabs to define blocks of code, and does not require semicolons to end statements.
Data Types: JavaScript, MATLAB, and Python have different data types. JavaScript has dynamic typing, which means that variables can hold values of any data type and can change their type during runtime. MATLAB is primarily used for numerical computations and supports built-in matrix data types, such as arrays and matrices. Python also supports arrays and matrices, but it has a wider range of built-in data types, including lists, tuples, dictionaries, and sets.
Functionality: JavaScript, MATLAB, and Python have different functionalities. JavaScript is primarily used for scripting interactive web pages and web applications, and it has a strong focus on manipulating the Document Object Model (DOM) of web pages. MATLAB is designed for mathematical computations and numerical analysis, and it has built-in functions for linear algebra, signal processing, and other mathematical operations. Python is a general-purpose programming language that can be used for a wide range of applications, such as web development, data analysis, machine learning, and scientific computing.
Libraries and Packages: JavaScript, MATLAB, and Python have different libraries and packages available. JavaScript has a wide range of libraries and frameworks for web development, such as React, Angular, and jQuery. MATLAB has its own extensive collection of toolboxes for various domains, such as signal processing, image processing, and control systems. Python has a rich ecosystem of libraries and packages, including NumPy for numerical computations, Pandas for data analysis, Matplotlib for data visualization, and TensorFlow for machine learning.
Execution Environment: JavaScript, MATLAB, and Python have different execution environments. JavaScript is typically executed by web browsers, although it can also be used with server-side platforms like Node.js. MATLAB has its own integrated development environment (IDE) called MATLAB Desktop, which provides a command window for executing commands and a script editor for writing and running scripts. Python can be executed in various ways, such as through its default interpreter, command line, or integrated development environments like PyCharm or Jupyter Notebook.
Community and Support: JavaScript, MATLAB, and Python have different levels of community and support. JavaScript is one of the most widely used programming languages for web development, and it has a large community of developers who contribute to open-source projects, provide tutorials, and offer support through forums and online communities. MATLAB has a smaller but dedicated community of users, especially in academic and research fields. Python has a large and active community, with extensive documentation, online forums, and tutorials available, making it easier to find help and resources.

In Summary, JavaScript, MATLAB, and Python differ in syntax, data types, functionality, libraries, execution environments, and levels of community support.

JavaScript vs MATLAB vs Python

Overview