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Ruby vs YAML: What are the differences?
Introduction
In this Markdown code, we will discuss the key differences between Ruby and YAML.
Syntax: Ruby is a programming language that follows a more traditional programming syntax, with keywords, operators, and variable declarations. On the other hand, YAML is a data serialization language that uses a compact and readable syntax, mainly based on indentation and key-value pairs.
Purpose: Ruby is designed to be a general-purpose programming language that can be used for various applications, including web development, scripting, and creating software. YAML, on the other hand, is primarily used for data serialization and configuration purposes, providing a human-readable format for storing and exchanging data between different systems.
Data Types: Ruby supports a wide range of data types, including strings, numbers, arrays, hashes, and more. YAML, although it supports most of the basic data types, has a more limited set of built-in data types, such as strings, numbers, boolean values, arrays, and hashes.
Code Execution: Ruby code is executed by an interpreter or compiler, allowing it to be run and executed as a standalone program. YAML, being a data serialization language, does not have the capability for code execution. Instead, it is used to represent data structures in a human-readable format.
Complexity: Ruby is a full-fledged programming language with a rich set of features, including control structures, class definition, object-oriented programming, and more. YAML, being a data serialization language, is designed to be simple and concise, focusing on representing structured data without the complexity of a programming language.
Extensibility: Ruby is highly extensible and has a vast ecosystem of libraries and frameworks that can be used to enhance its functionality. YAML, although it can be extended to some extent with custom data types and tags, does not have the same level of extensibility as Ruby.
In summary, Ruby is a powerful programming language used for a wide range of applications, while YAML is a simpler data serialization language mainly used for storing and exchanging structured data.
In 2015 as Xelex Digital was paving a new technology path, moving from ASP.NET web services and web applications, we knew that we wanted to move to a more modular decoupled base of applications centered around REST APIs.
To that end we spent several months studying API design patterns and decided to use our own adaptation of CRUD, specifically a SCRUD pattern that elevates query params to a more central role via the Search action.
Once we nailed down the API design pattern it was time to decide what language(s) our new APIs would be built upon. Our team has always been driven by the right tool for the job rather than what we know best. That said, in balancing practicality we chose to focus on 3 options that our team had deep experience with and knew the pros and cons of.
For us it came down to C#, JavaScript, and Ruby. At the time we owned our infrastructure, racks in cages, that were all loaded with Windows. We were also at a point that we were using that infrastructure to it's fullest and could not afford additional servers running Linux. That's a long way of saying we decided against Ruby as it doesn't play nice on Windows.
That left us with two options. We went a very unconventional route for deciding between the two. We built MVP APIs on both. The interfaces were identical and interchangeable. What we found was easily quantifiable differences.
We were able to iterate on our Node based APIs much more rapidly than we were our C# APIs. For us this was owed to the community coupled with the extremely dynamic nature of JS. There were tradeoffs we considered, latency was (acceptably) higher on requests to our Node APIs. No strong types to protect us from ourselves, but we've rarely found that to be an issue.
As such we decided to commit resources to our Node APIs and push it out as the core brain of our new system. We haven't looked back since. It has consistently met our needs, scaling with us, getting better with time as continually pour into and expand our capabilities.
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.
When I was evaluating languages to write this app in, I considered either Python or JavaScript at the time. I find Ruby very pleasant to read and write, and the Ruby community has built out a wide variety of test tools and approaches, helping e deliver better software faster. Along with Rails, and the Ruby-first Heroku support, this was an easy decision.
Pros of Ruby
- Programme friendly608
- Quick to develop538
- Great community492
- Productivity469
- Simplicity432
- Open source274
- Meta-programming235
- Powerful208
- Blocks157
- Powerful one-liners140
- Flexible70
- Easy to learn59
- Easy to start52
- Maintainability42
- Lambdas38
- Procs31
- Fun to write21
- Diverse web frameworks19
- Reads like English14
- Makes me smarter and happier10
- Rails9
- Elegant syntax9
- Very Dynamic8
- Matz7
- Programmer happiness6
- Object Oriented5
- Elegant code4
- Friendly4
- Generally fun but makes you wanna cry sometimes4
- Fun and useful4
- There are so many ways to make it do what you want3
- Easy packaging and modules3
- Primitive types can be tampered with2
Pros of YAML
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Cons of Ruby
- Memory hog7
- Really slow if you're not really careful7
- Nested Blocks can make code unreadable3
- Encouraging imperative programming2
- No type safety, so it requires copious testing1
- Ambiguous Syntax, such as function parentheses1