Python vs Ruby

Overview

Ruby

Stacks46.0K

Followers21.8K

Votes4.0K

GitHub Stars23.0K

Forks5.5K

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Python vs Ruby: What are the differences?

Introduction: When comparing Python and Ruby, there are several key differences that can impact the choice of language for different projects.

Syntax: Python uses indentation to define code blocks, making it easy to read and understand. In contrast, Ruby relies on end keywords and curly braces for block structure, which can be a bit more complex for beginners.
Performance: Python generally has better performance when handling mathematical computations and scientific algorithms. On the other hand, Ruby excels in web development due to the flexibility and ease of use of its frameworks like Ruby on Rails.
Community and Libraries: Python has a larger community and a vast number of libraries that cover various domains such as data science, machine learning, and web development. Ruby, while also having a supportive community, may have fewer libraries available for specialized tasks.
Type System: Python is dynamically typed, meaning variables do not have a predefined type and can change during runtime. Ruby, however, is more strongly typed, which can lead to stricter error checking but also more predictability.
Philosophy: Python follows the principle of "There should be one-- and preferably only one --obvious way to do it," promoting simplicity and readability. Ruby, on the other hand, embraces flexibility and allows multiple approaches to problem-solving, giving developers more freedom but potentially leading to less consistency in codebases.
Object-Oriented Programming: Both Python and Ruby are object-oriented languages, but Ruby has a more pure object-oriented approach where everything is an object, including primitive data types, while Python mixes object-oriented and procedural programming paradigms.

In Summary, Python and Ruby have distinct differences in terms of syntax, performance, community support, type system, programming philosophy, and object-oriented programming principles.

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Advice on Ruby, Python

Octavian

Software Engineer

May 26, 2020

Decided

Both PHP and Python are free but when it comes to web development PHP wins for sure. There is no doubt that Python is a powerful language but it is not optimal for web. PHP has issues... of course; but so does any other language.

Another reason I chose PHP is for community - it has one of the most resourceful communities from the internet and for a good reason: it evolved with the language itself.

The fact that OOP evolved so much in PHP makes me keep it for good :)

377k views377k

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

Davit

Apr 11, 2020

Needs advice

Hi everyone, I have just started to study web development, so I'm very new in this field. I would like to ask you which tools are most updated and good to use for getting a job in medium-big company. Front-end is basically not changing by time so much (as I understood by researching some info), so my question is about back-end tools. Which backend tools are most updated and requested by medium-big companies (I am searching for immediate job possibly)?

Thank you in advance Davit

390k views390k

Comments

Detailed Comparison

Ruby	Python
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.	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.
Statistics
GitHub Stars 23.0K	GitHub Stars 69.7K
GitHub Forks 5.5K	GitHub Forks 33.3K
Stacks 46.0K	Stacks 262.9K
Followers 21.8K	Followers 205.4K
Votes 4.0K	Votes 6.9K
Pros & Cons
Pros 608 Programme friendly 538 Quick to develop 492 Great community 469 Productivity 432 Simplicity Cons 7 Really slow if you're not really careful 7 Memory hog 3 Nested Blocks can make code unreadable 2 Encouraging imperative programming 1 No type safety, so it requires copious testing	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
Integrations
Rails	Django

What are some alternatives to Ruby, Python?

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.

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.

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Python vs Ruby: What are the differences?

Introduction: When comparing Python and Ruby, there are several key differences that can impact the choice of language for different projects.

Syntax: Python uses indentation to define code blocks, making it easy to read and understand. In contrast, Ruby relies on end keywords and curly braces for block structure, which can be a bit more complex for beginners.
Performance: Python generally has better performance when handling mathematical computations and scientific algorithms. On the other hand, Ruby excels in web development due to the flexibility and ease of use of its frameworks like Ruby on Rails.
Community and Libraries: Python has a larger community and a vast number of libraries that cover various domains such as data science, machine learning, and web development. Ruby, while also having a supportive community, may have fewer libraries available for specialized tasks.
Type System: Python is dynamically typed, meaning variables do not have a predefined type and can change during runtime. Ruby, however, is more strongly typed, which can lead to stricter error checking but also more predictability.
Philosophy: Python follows the principle of "There should be one-- and preferably only one --obvious way to do it," promoting simplicity and readability. Ruby, on the other hand, embraces flexibility and allows multiple approaches to problem-solving, giving developers more freedom but potentially leading to less consistency in codebases.
Object-Oriented Programming: Both Python and Ruby are object-oriented languages, but Ruby has a more pure object-oriented approach where everything is an object, including primitive data types, while Python mixes object-oriented and procedural programming paradigms.

In Summary, Python and Ruby have distinct differences in terms of syntax, performance, community support, type system, programming philosophy, and object-oriented programming principles.