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JSON&YAML serialization

JSON (JavaScript Object Notation) and YAML (YAML Ain’t Markup Language) are both popular data serialization formats used for storing and exchanging data. They serve similar purposes but have distinct characteristics.

JSON is widely recognized for its simplicity and ease of use. It represents data in key/value pairs, using curly braces for objects and square brackets for arrays. This format is less verbose, making it efficient for storage and transmission. JSON is particularly favored in web services and applications due to its compatibility with JavaScript and extensive community support, which provides numerous libraries for various programming languages 15.

On the other hand, YAML is designed to be more human-readable. It uses indentation and a more natural syntax, which can make it easier for humans to read and write. YAML supports complex data structures and allows for features like comments and references through anchors and aliases, which JSON does not offer. However, this complexity can lead to challenges in parsing and generation 14.

In summary, while JSON is often preferred for its performance and simplicity, YAML excels in readability and flexibility for configuration files.

JSON vs YAML

 Level Up Coding

Any person with an interest in programming and technology knows what JSON is. YAML is not as common as JSON, but it is also a popular and awesome data serialization language. For example, any person…

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10 Things You Might Not Know About YAML

 Better Programming

YAML claims it is a human-friendly data serialization standard. “Human-friendly,” said no one who has ever used YAML. In this post learn 10 Things You Might Not Know About YAML.

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Starting With YAML and PyYAML in Python

 Real Python

Python is often marketed as a batteries-included language because it comes with almost everything you’d ever expect from a programming language. However, Python lacks built-in support for the YAML dat...

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YAML vs JSON: Why Anchors Make YAML a Game Changer

 Real Python

From our podcast, episode 210. programming python shorts yaml

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What are XML, JSON, and YAML Serialization Formats for AI Applications?

 Python in Plain English

Serialization is a type of language format that is used to convert the object and transmit it to a file, database, or stream of bytes. When we want to send data from one machine to another machine…

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JSON Best practices

 Analytics Vidhya

JSON is no doubt a flexible way to share data across systems. But that doesn’t mean JSON can be created any way. Always enclose the Key : Value pair within double quotes. It may be convenient (not…

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Writing YAML files with python

 Towards Data Science

Yaml files have been around for over twenty years now¹. They’re extremely useful for showing data structures and are a popular format for configuration files. From AWS CloudFormation², Common…

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File Input and Output using XML and YAML files

 OpenCV Tutorial

You'll find answers for the following questions: Source code C++ Python Explanation Here we talk only about XML and YAML file inputs. Your output (and its respective input) file may have only one of t...

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YAML Tutorial: Everything You Need To Know in 5 Mins

 Level Up Coding

YAML Ain’t Markup Language (YAML) is a serialization language like XML and JSON. It is a superset of JSON, mainly used for configuration files. You can create a YAML file with either .yaml or .yml as…...

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The YAML Document From Hell — JavaScript Edition

 Better Programming

I’ve always heard that YAML has its pitfalls, but hadn’t looked into the details — and thankfully hadn’t been affected — mainly due to my very infrequent and simple use of YAML. If you are in the…

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Reading and Writing JSON in Python

 ThePythonGuru

JSON (JavaScript Object Notation) is language-neutral data interchange format. It was created and popularized by Douglas Crockford. In its short hist…

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Data Serialization

 The Hitchhiker's Guide to Python!

Data Serialization What is data serialization? Data serialization is the process of converting structured data to a format that allows sharing or storage of the data in a form that allows recovery of ...

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