Udemy – The Ultimate JSON with Python Course + JSONSchema & JSONPath 2024-3 – Downloadly

• An introduction to JSON and its uses
• How to parse, generate and edit JSON documents in Python
• How to get JSON and send it to and from web APIs
• Complete introduction to JSONSchema
• How to validate JSON documents using JSONSchema in Python
• Writing and extending schemas with 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’ll 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, and sourcing and sending JSON to and from Web APIs Next, we’ll 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 is comprehensive, starting with the basics of schema definition before moving on to more advanced topics such as reference relationship management, implementers, polymorphic schemas, and custom format validation, starting with Python code. We then move on to JSONPath, a query language for JSON documents. We learn how to use JSONPath to extract data from documents, including various advanced patterns such as filtering, slicing, and recursive descent. The final section is devoted to comparing JSON documents using Python, a very common task in the world of data validation, testing, and change tracking. In this section, we cover basic string-based comparisons as well as more complex replacements that require an internal understanding of the document’s syntactical structure. By the end of this course, you will have a deep and practical understanding of JSON and how to work with it in Python, and will be able to use JSON confidently in your projects. There are several opportunities throughout the course to practice what you’ve learned through skill challenges. So, if you are tired of searching for JSON data in your Python projects, this course is for you.

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