Download Udemy – The Ultimate JSON With Python Course + JSONSchema & JSONPath 2024-3

• An introduction to JSON and its uses
• How to parse, generate and manipulate JSON documents in Python
• How to source and send JSON to and from web APIs
• Full introduction to JSONSchema
• How to validate JSON documents against JSONSchema in Python
• Writing and extending schemas using Python, including schemas with $id, $ref, and $defs
• How to use JSONPath queries to extract data from JSON documents
• How to compare complex and nested JSON documents in Python

In the first part, we start by introducing the JSON standard, its uses, and its history. We’ll cover the basics of JSON, including its syntax, data types, and structure, and explore why JSON is so popular and how it compares to other data interchange formats. Next, we’ll switch gears and turn our attention to the practical aspects of working with JSON in Python. We’ll learn how to parse, generate, and manipulate JSON documents in Python code, covering not only the standard basics but also more nuanced and advanced topics like serialization and deserialization challenges, as well as sourcing and sending JSON to and from. Web APIs Next, we’re going to look at JSONSchema: a very important aspect of working with JSON documents. Schemas allow us to define JSON structure and validate documents at runtime. Our coverage of JSONSchema will be comprehensive, starting with the basics of defining schemas before moving on to more advanced topics such as reference relationship management, implementers, polymorphic schemas, and custom format validation, all starting with Python code. Then we’ll cover JSONPath, which is a query language for JSON documents. We will learn how to use JSONPath to extract data from documents, including several advanced patterns such as filtering, slicing, and recursive descent. The final section will be devoted to comparing JSON documents using Python, a very common task in the world of data validation, testing, and change tracking. In that section, we’ll cover basic string-based comparisons as well as more complex substitutions that have an internal understanding of the syntactic structure of the document. At the end of this course, you will have a deep and practical understanding of JSON and how to work with it in Python, and you can confidently use JSON in your projects. Throughout the course, there will be several opportunities to practice what you learn through skill challenges. So if you are tired of searching for JSON data in your Python projects, this course is for you.

Installation guide

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