The Value of JSON Values

Pure functional Java library to work with Json using persistent data structures. A declarative API with validators, generators and a fast parser.

This article introduces json-values, a pure functional Java library to work with JSON. In this first article, we’ll see some impressive recursive data structures to model essential concepts in software development like data validation, data generation, and parsers.

The first and most important virtue of json-values is that JSON objects are immutable and implemented with persistent data structures, better known in FP jargon as values. As Pat Hellan said, immutability changes everything.

It’s a fact that, when possible, working with values leads to code with fewer bugs, is more readable, and is easier to maintain. Item 17 of Effective Java states that we must minimize mutability. Still, sometimes it’s at the cost of losing performance because the copy-on-write approach is very inefficient for significant data structures. Here is where persistent data structures come into play.

Most functional languages, like Haskell, Clojure, and Scala, implement persistent data structures natively. Java doesn’t. The best alternative I’ve found in the JVM ecosystem is the persistent collections provided by the library vavr. It provides a well-designed API and has a good performance.

The standard Java programmer finds it strange to work without objects and all the machinery of frameworks and annotations.FP is all about functions and values; that’s it. I will try to cast some light on how we can manipulate JSON with json-values following a purely functional approach.

#java #json #programming #developer

What is GEEK

Buddha Community

What is JSON? | JSON Objects and JSON Arrays | Working with JSONs Tutorial

In this video, we work with JSONs, which are a common data format for most web services (i.e. APIs). Thank you for watching and happy coding!

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Endpoint Example
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#jsons #json arrays #json objects #what is json #jsons tutorial #blondiebytes

JSON Parsing in Android - Step by Step Implementation

JSON Structures in Android

JSON uses two types of brackets that are as follows:

• [] – To declare the elements of Array in JSON, they’re written in square brackets.
• {} – To create JSON objects, the elements are written in curly brackets.

JSON has the following types of structures that are:

1. JSON Objects

The elements inside the curly brackets are known as Objects.

2. JSON Array

A list of values, known as Arrays.

3. JSON Key-Value

This data is stored as a pair of keys and values. Here the keys can be a name, a number for which the values can be Seema, 98767586 etc.

Why JSON Parsing in Android over XML?

Let us see some reasons for why to choose JSON over XML:

• It is much easier and quicker with high performance
• It can use arrays
• Its libraries do not depend on other libraries
• The codes written in JSON are short, clean and easy to understand
• It is free to open use and open-source tool
• In JSON value retrieval is easy
• It has a fully automated way of serializing/deserializing JavaScript.
• It is supported by many Ajax toolkits and most of the backend technologies.

Examples of XML and JSON

Let us see the code difference of JSON and XML files:

XML Example:

<?xml version= “1.0” encoding= “” ?>
<student>
        <student>
  <name> Sia Sharma</name>
  <city> Chandigarh</city>
         </student>
        <student>
  <name>Dimple D’souza</name>
  <city> Nagpur</city>
         </student>
      <student>
  <name>Anna Jones</name>
  <city> Mumbai</city>
         </student>
  </student>

JSON Example:

{ “students”: [
{ “name”: “Sia Sharma”, “city”: “Chandigarh”},
{ “name”: “Prachi D’Souza”, “city”: “Nagpur”},
{ “name”: “Annas Jones”, “city”: “Mumbai”}
]}

I hope the difference is all clear in front of you. This is how simple JSON is and how easily it could be understood.

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JSON with Python - copyassignment.com

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# Google's Flutter Tutorial- Easily Parse Complex JSON, Create JSON Model Classes.

Welcome to Flutter tutorial

This demo helps you to easily parse any complex JSON data in to Dart Model classe easily.
Proper Error Handling in Flutter
https://www.youtube.com/watch?v=yA_BI…

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Fix Raise JSONDecodeError("Expecting Value", S, Err.value) From None

When working with JSON data in Python, you might get the following error:

raise JSONDecodeError("Expecting value", s, err.value) from None

This error occurs when you specify an incompatible data type as an argument to the json.loads() or json.load() method.

The following tutorial will show you an example that causes this error and how to fix it.

How to reproduce this error

Suppose you get some JSON data from a file or from an API request, then you call the loads() method to convert the JSON string into a dictionary as follows:

data = res.read()
json_object = json.loads(data)

When loading the data object, you get the following error:

Traceback (most recent call last):
  File "main.py", line 6, in <module>
    json_object = json.loads(data)
                  ^^^^^^^^^^^^^^^^
  File ...
    return _default_decoder.decode(s)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File ...
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File ...
    raise JSONDecodeError("Expecting value", s, err.value) from None

The error happens because the loads() method can’t convert the data object.

This usually happens when you pass a bytes object to the method. You can check for the type of the object using the type() function:

print(type(data))  # <class 'bytes'>

# json_object = json.loads(data)

If the type() function returns the bytes class, then you need to convert this data before passing it to the loads() method.

How to fix this error

To resolve this error, you need to pass a valid JSON string in UTF-8 format to the loads() method.

You can use the bytes.decode() method to convert the bytes object as follows:

data = res.read()

json_object = json.loads(data.decode("UTF-8"))

By adding the call to decode() as shown above, the bytes object gets converted into UTF-8 string, which is a valid JSON format that Python can handle.

If that doesn’t work, then you need to check if you have a valid JSON string format. You can use an online validator like JSONLint to help you verify the string.

I hope this tutorial is helpful. Happy coding! 👍

Original article source at: https://sebhastian.com/

#python #json #value