The Ultimate Json With Python Course + Jsonschema & Jsonpath

Master JSON with Python: Learn to parse, generate, manipulate, validate, query, and compare JSON documents in Python

What you'll learn

Understand the JSON standard, its use cases, and history

Learn how to parse, generate, and manipulate JSON documents in Python

Master JSONSchema and use it to programmatically validate JSON documents

Utilize JSONPath to extract data from JSON documents

Learn how to compare JSON documents in Python, using difflib, jsondiff, and deepdiff

Gain a deep understanding of JSON and how to work with it in Python, and be able to confidently use JSON in your own projects

Requirements

No programming experience required

Description

Welcome to the best resource online for mastering JSON with Python!JSON is a widely used data interchange format that is easy for humans to read and write and easy for machines to parse and generate. Today JSON is everywhere, from web APIs to data storage, configuration files, and more. It's so ubiquitous that it has effectively become the lingua franca of data interchange on the web.In this course, you will learn everything you need to know to become a JSON expert in Python including:an introduction to JSON and its use caseshow to parse, generate, and manipulate JSON documents in Pythonhow to source and send JSON from and to web APIsa thorough introduction to JSONSchemahow to validate JSON documents against JSONSchema in Pythoncomposing and extending schemas using python, including those with $id, $ref, and $defshow to use JSONPath queries to extract data from JSON documentshow to compare complex and nested JSON documents in PythonIn the first section, we'll start with an introduction to the JSON standard, its use cases, and history. We'll cover the basics of JSON, including its syntax, data types, and structure, and we'll explore why JSON is so popular and how it compares to other data interchange formats.Then, we will 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 basics of the standard but also much more nuanced and advanced topics such as serialization and deserialization challenges as well as sourcing and sending JSON from and to web APIs. Next, we are going to explore JSONSchema: a very important aspect of working with JSON documents. Schemas will allow us to define the structure of JSON, and validate documents at runtime. Our coverage of JSONSchema will be comprehensive, starting from the very basics of defining schemas before moving on to more advanced topics such as handling refenerntial relationships, applicators, polymorphic schemas, and custom format validation all using Python code.Then we will cover JSONPath, which is a query language for JSON documents. We'll 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 dedicated to comparing JSON documents using Python, an all too common task in the world of data validation, testing, and change tracking. In that section we will cover basic string-based comparisons as well as sophisticated alternatives that have a built-in understanding of the syntactic structure of the document. 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 you'll be able to confidently use JSON in your own projects. Throughout the course, there will be several opporutinites to practice what you learn through hands-on skill challenges. So if you're tired of fumbling through JSON data in your Python projects, this is the course for you. Enroll now and start your JSON mastery journey today!

Overview

Section 1: Very Brief Introduction

Lecture 1 Welcome!

Lecture 2 Course Resources

Section 2: Introduction To JSON

Lecture 3 Section Resources

Lecture 4 Understanding The JSON Format

Lecture 5 Why Is JSON So Popular?

Lecture 6 Core Data Types

Lecture 7 Common Data Shapes

Section 3: Working With JSON In Python

Lecture 8 Section Resources

Lecture 9 Difference Between Python dict And JSON

Lecture 10 The json Module And Serialization

Lecture 11 Deserialization

Lecture 12 Web Requests And APIs

Lecture 13 A Better Alternative: The requests Library

Lecture 14 Edge Cases In Serialization

Lecture 15 Serializing User-Defined Classes

Lecture 16 Skill Challenge - JSON Data Transformation Challenge

Lecture 17 Solution

Section 4: Schemas And Instance Validation

Lecture 18 Section Resources

Lecture 19 Why Validate?

Lecture 20 Schema Construction

Lecture 21 More Schema Definitions

Lecture 22 Subschemas And Remote References

Lecture 23 Applicators And Advanced Techniques

Lecture 24 Skill Challenge - Defining A Polymorphic JSON Schema

Lecture 25 Solution

Section 5: Automating Validation With JSONSchema

Lecture 26 Section Resources

Lecture 27 Setting Up

Lecture 28 Validating Formats

Lecture 29 Crafting Customized Formats

Lecture 30 Dereferencing

Lecture 31 Skill Challenge - Programmatic JSON Document Validation From API

Lecture 32 Solution

Section 6: The JSON Query Language: JSONPath

Lecture 33 Section Resources

Lecture 34 Understanding JSONPath

Lecture 35 jsonpath-ng In Python

Lecture 36 More Practice

Lecture 37 Advanced Patterns

Section 7: 6. Diffing Payloads

Lecture 38 Section Resources

Lecture 39 Standard Library's Difflib

Lecture 40 Easier Diffing With JsonDiff

Lecture 41 DeepDiff

Anyone interested in learning how to efficiently work with JSON data in Python,Data engineers who want to implement validation and data integrity using JSONSchema