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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-ultimate-json-with-python-course-jsonschema-jsonpath/
课程评论：没有评论
**Coursera课程总结：Python与JSON终极指南（含JSONSchema与JSONPath）** 本课程是学习Python处理JSON数据的权威资源，旨在帮助您成为JSON专家。JSON作为一种易于人类读写、机器解析生成的数据交换格式，在Web API、数据存储、配置文件等领域无处不在，已成为Web数据交换的事实通用语言。 **课程内容概览：** 1. **JSON基础入门：** * JSON标准介绍、历史及其广泛用例。 * JSON的基本语法、数据类型和结构。 * JSON受欢迎的原因及其与其他数据交换格式的比较。 2. **Python中的JSON处理：** * 在Python代码中解析、生成和操作JSON文档。 * 涵盖标准基础知识以及更高级的主题，如序列化/反序列化挑战。 * 如何从Web API获取和发送JSON数据。 3. **JSONSchema详解：** * JSONSchema在定义JSON结构和运行时验证中的重要性。 * 从定义基本Schema到高级主题的全面讲解，包括： * 处理引用关系（$ref） * 组合与扩展Schema（$id, $defs） * 应用器（Applicators） * 多态Schema（Polymorphic schemas） * 自定义格式验证 * 全程使用Python代码进行演示和实践。 4. **JSONPath查询语言：** * 将JSONPath作为一种专门用于JSON文档的查询语言。 * 学习如何使用JSONPath提取数据，包括高级模式： * 过滤（Filtering） * 切片（Slicing） * 递归下降（Recursive Descent） 5. **Python中的JSON比较：** * 在Python中比较JSON文档，这是一项在数据验证、测试和变更跟踪中常见的任务。 * 覆盖基础的基于字符串的比较方法。 * 介绍更复杂的、能理解文档语法结构的比较方法。 **学习成果：** 完成本课程后，您将对JSON及其在Python中的应用有深入而实用的理解，能够自信地将JSON集成到您的项目中。课程包含多个实践机会，通过动手实践技能挑战，帮助您巩固所学知识。 如果您希望告别在Python项目中处理JSON数据的困境，本课程是您的不二之选。立即报名，开启您的JSON精通之旅！
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!
