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JSON vs Ruby: What are the differences?
Introduction
In this article, we will discuss the key differences between JSON and Ruby. JSON stands for JavaScript Object Notation, and it is a lightweight data interchange format. Ruby, on the other hand, is a dynamic, object-oriented programming language. Understanding the differences between JSON and Ruby is essential when working with data in web development.
Syntax: JSON follows a strict syntax where keys and strings must be enclosed in double quotes. All values need to be one of the following data types: string, number, object, array, boolean, or null. Ruby, on the other hand, has a more flexible syntax that allows for the use of both single and double quotes. Also, Ruby supports additional data types like symbols and regular expressions.
Data Structure: JSON is primarily used for representing and transmitting structured data. It is based on a key-value pair structure where keys are always strings. Values can be simple data types or nested objects/arrays. In Ruby, data structures are more versatile and can include arrays, hashes, and custom objects. Ruby provides a wide range of built-in methods and functionalities for manipulating these data structures.
Parsing and Serialization: JSON is a standardized format that can easily be parsed and serialized by a variety of programming languages. Almost all modern programming languages, including Ruby, provide built-in support for parsing JSON data and converting it into native data types. Ruby has its own JSON module that allows developers to parse and generate JSON.
Interoperability: JSON is widely used for data interchange between different systems and applications because of its simplicity and ease of implementation. It is language-agnostic and can be easily understood by most programming languages. Ruby, being a programming language, offers a wider range of functionalities beyond just data interchange. Ruby can be used for web development, scripting, and many other purposes.
Typing: JSON is a loosely typed format, which means that data types can be dynamically inferred from the values. Ruby, on the other hand, follows a strong typing system, where variables have a specific type assigned to them. This allows for better type safety and prevents unexpected runtime errors.
Encoding Support: JSON supports Unicode characters, allowing data to be represented in different languages and character sets. Ruby also has excellent support for Unicode characters and provides various encoding mechanisms for handling different character encodings.
In summary, JSON and Ruby have distinct differences in terms of syntax, data structures, parsing, interoperability, typing, and encoding support. Understanding these differences is crucial for efficiently working with JSON data and utilizing the features offered by the Ruby programming language.
Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?
Python is very flexible and definitely up the job (although, in reality, any language will be able to cope with this task!). Python has some good libraries built in, and also some third party libraries that will help here. 1. Convert CSV -> JSON 2. Validate against a schema 3. Deploy to AWS
- The builtins include json and csv libraries, and, depending on the complexity of the csv file, it is fairly simple to convert:
import csv
import json
with open("your_input.csv", "r") as f:
csv_as_dict = list(csv.DictReader(f))[0]
with open("your_output.json", "w") as f:
json.dump(csv_as_dict, f)
The validation part is handled nicely by this library: https://pypi.org/project/jsonschema/ It allows you to create a schema and check whether what you have created works for what you want to do. It is based on the json schema standard, allowing annotation and validation of any json
It as an AWS library to automate the upload - or in fact do pretty much anything with AWS - from within your codebase: https://aws.amazon.com/sdk-for-python/ This will handle authentication to AWS and uploading / deploying the file to wherever it needs to go.
A lot depends on the last two pieces, but the converting itself is really pretty neat.
I would use Go. Since CSV files are flat (no hierarchy), you could use the encoding/csv package to read each row, and write out the values as JSON. See https://medium.com/@ankurraina/reading-a-simple-csv-in-go-36d7a269cecd. You just have to figure out in advance what the key is for each row.
This should be pretty doable in any language. Go with whatever you're most familiar with.
That being said, there's a case to be made for using Node.js since it's trivial to convert an object to JSON and vice versa.
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 JSON
- Simple5
- Widely supported4
Pros of Ruby
- Programme friendly605
- Quick to develop536
- Great community490
- Productivity468
- Simplicity432
- Open source273
- Meta-programming234
- Powerful207
- Blocks156
- Powerful one-liners139
- Flexible69
- Easy to learn58
- Easy to start51
- Maintainability42
- Lambdas37
- Procs30
- Fun to write21
- Diverse web frameworks19
- Reads like English13
- Makes me smarter and happier10
- Rails9
- Very Dynamic8
- Elegant syntax8
- Matz6
- Object Oriented5
- Programmer happiness5
- Elegant code4
- Generally fun but makes you wanna cry sometimes4
- Friendly4
- Fun and useful4
- Easy packaging and modules3
- There are so many ways to make it do what you want3
- Primitive types can be tampered with2
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Cons of JSON
Cons of Ruby
- Memory hog7
- Really slow if you're not really careful7
- Nested Blocks can make code unreadable3
- Encouraging imperative programming2
- Ambiguous Syntax, such as function parentheses1
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