Overview

Python

Stacks262.8K

Followers205.3K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

C++

Stacks18.2K

Followers9.4K

Votes866

MATLAB

Stacks1.1K

Followers702

Votes37

C++ vs MATLAB vs Python: What are the differences?

Key Differences between C++, MATLAB, and Python

Syntax: C++ uses a lower-level syntax and is known for its strict typing and explicit memory management, requiring more code to perform simple tasks. MATLAB, on the other hand, has a high-level syntax designed specifically for mathematical and scientific computations, making it much simpler and more intuitive for mathematical operations. Python has a more expressive syntax and offers a wide range of libraries and frameworks, allowing developers to write concise code for various tasks.
Ease of Use: C++ requires a deeper understanding of programming concepts and can be more challenging to learn and use, especially for beginners. MATLAB, with its interactive environment and extensive documentation, is relatively easy to learn and is widely used in academia and industry for numerical analysis and simulation purposes. Python, being a versatile language with a clean and readable syntax, is often considered the easiest to learn among the three and is popular for its simplicity and readability.
Performance: C++ is a compiled language that offers better performance due to its ability to directly access hardware resources and generate very efficient machine code. MATLAB, being an interpreted language, may be slower for certain computational tasks but has the advantage of optimized libraries for mathematical operations. Python, also an interpreted language, is generally slower than C++ but offers extensive libraries and tools, enabling developers to optimize performance through various techniques.
Application Domains: C++ is commonly used in performance-critical applications such as gaming, system programming, and embedded systems due to its efficiency and control over low-level operations. MATLAB is widely used in scientific and engineering fields, particularly for numerical computations, signal processing, image analysis, and control systems. Python is a versatile language used in various domains like web development, data analysis, machine learning, artificial intelligence, and automation, with a large number of libraries and frameworks tailored to specific applications.
Memory Management: C++ requires manual memory management, where the programmer must explicitly allocate and deallocate memory for objects, which can be error-prone and time-consuming. MATLAB, being a high-level language, automatically manages memory allocation and deallocation, preventing memory leaks and reducing developer overhead. Python, similar to MATLAB, comes with automatic memory management through garbage collection, freeing developers from the burden of manual memory management.
Community and Ecosystem: C++ has a large and mature community, with extensive documentation, libraries, and support for various platforms, making it a popular choice for complex software systems. MATLAB has a strong community in academia and engineering industries, with a vast number of specialized toolboxes and an active user base. Python has one of the largest and most active communities, offering a vast ecosystem of libraries and frameworks, contributing to its popularity and making it suitable for a wide range of applications.

In Summary, C++ offers low-level control and performance for performance-critical applications, MATLAB provides a user-friendly environment for mathematical computations, and Python offers simplicity, versatility, and a large ecosystem for various domains of application.

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Advice on Python, C++, 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	C++	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.	C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.	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 262.8K	Stacks 18.2K	Stacks 1.1K
Followers 205.3K	Followers 9.4K	Followers 702
Votes 6.9K	Votes 866	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 205 Performance 108 Control over memory allocation 99 Cross-platform 98 Fast 85 Object oriented Cons 8 Slow compilation 8 Unsafe 6 Fragile ABI 6 Over-complicated 5 No standard/mainstream dependency management	Pros 20 Simulink 5 Functions, statements, plots, directory navigation easy 5 Model based software development 3 S-Functions 2 REPL Cons 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 1 Costs a lot
Integrations
Django	No integrations available	No integrations available

What are some alternatives to Python, C++, 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.

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.