JSON (stands for “JavaScript Object Notation”) is a text-based format which facilitates data interchange between diverse applications. For example, an application written in C++ How to Fix Windows Visual C++ Runtime ErrorsVisual C++ Errors are a common problem for Windows users. But do you know how to fix them? Read More running on Windows can easily exchange JSON data with an application written in python and running on Linux. Its simplicity and flexibility has led to widespread usage in recent years, especially in preference to earlier XML-based formats.
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There are libraries and toolkits available for parsing and generating JSON from almost any language and environment. This article concentrates on methods and issues arising from processing JSON using python.
Some JSON Samples
The most common JSON entity that you will encounter is an object: a set of key-value mappings in the format shown below.
person.json:
Here is how you can represent an array of objects. In this representation, each item of the array is an object. The following is a sample of salaries of baseball players.
salaries.json:
Of course, you can represent an array of scalars too. It looks like this:
Parsing JSON in Python
Python How to Get Python and JavaScript to Communicate Using JSONToday I'll be showing you how to use JSON to send data from JavaScript to Python. I'll be covering how to setup a web server, along with all the code you need. Read More provides the json module which can be used to both parse JSON, as well as generate JSON from python objects and lists.
The following code snippet shows how to open a JSON file and load the data into a variable.
When you have a string containing the JSON data, you can convert it to a python object (or list) with the following:
To parse a JSON URL, you can create a URL object using urllib2 and use json.load() as before.
Handling Errors
When the JSON has errors, you will get a ValueError. You can handle it and take corrective action if required.
Parsing JSON From the Command Line
Sometimes, it is useful to parse JSON using the python command line, perhaps to check for errors or to obtain nicely indented output.
To obtain indented output from the above JSON file, you can do the following:
And here is how you can load the JSON object into python and extract only what you need.
Accessing the Data
Once you have loaded the JSON data into a python variable, you can access the data as you would any python dict (or list as the case may be). For example, the above JSON data can be accessed as follows:
Data Types
Data types are automatically determined from the data. Note that age is parsed as an integer.
The following conversion table is used to convert from JSON to python.
Parsing JSON Using a Custom Class
By default, a JSON object is parsed into a python dict. Sometimes you may have the need to automatically create an object of your own class from the JSON data. You can do that by specifying an object_hook function which handles the conversion. The following example shows how.
Here is a custom class representing a Person.
An instance of this class is created by passing the required arguments as follows:
To use this class to create instances when parsing JSON, you need an object_hook function defined as follows: The function receives a python dict and returns an object of the correct class.
You can now use this object_hook function when invoking the JSON parser.
Examples of JSON Usage
JSON is extremely popular nowadays. Many websites and SaaS (Software As A Service) applications offer JSON output which can be consumed directly by applications. Some of the publicly available ones include:
- StackOverflow/StackExchange. Here is a URL which returns a list of questions in JSON format.
- GitHub offers a JSON api at https://developer.github.com/v3/.
- And here is the Flickr API: https://developer.yahoo.com/flickr/.
If you’re looking for more examples on how to put it to good use, check out this guide to building a social media bot using Python. https://high-powerxs.weebly.com/paint-shop-pro-download-for-mac.html.
Are you using JSON to consume or provide services? And are you using python in your technology stack? Do explain in the comments below.
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Application development and scripting
You can use Python’s intuitive syntax and dynamic typing to effortlessly deploy applications and scripts in a wide variety of areas and operating systems.
Hence, you can use Python to create web frameworks and micro-frameworks or advanced content management systems.
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What is more, the standard library comes with support for various Internet protocols such as JSON, HMTL, XML, FTP or IMAP, while the Package Index contains numerous useful libraries that can provide HTML parsers, HTTP client libraries or frameworks for asynchronous networking programming.
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Science, education and software development
Python can also be used in scientific and numeric computing thanks to SciPy – a collection of packages for science, engineering and mathematics, IPhyton – an interactive shell for work session editing and recording, Pandas – a data analysis and modeling library and the Software Carpentry Course which enables you to acquire the fundamental skills for running bootcamps, scientific computing and reach open-access teaching materials.
What is more, Python can be used for teaching programming to both novices and more experience users. Additionally, Python can be used as support language for app developers and for testing, management and build control. Quizup apk.
Extensible programming language
You can easily extend Python with new functions and data types implemented in C++ or C and use it as an extension language for various applications.
Moreover, Python is capable to comprehend arrays / lists and other compound data types. You can quickly index, slice and manipulate them using the built-in functions.
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