
Learn the fundamentals of JSON, including data types, objects, arrays, and JSON schema, and compare JSON with XML while intermixing with Java, JavaScript, PHP, and HTML.
Discover the fundamentals of JSON, including syntax, objects, arrays, and encoding and decoding, as a lightweight, language independent data interchange format.
Create a JSON example in a simple editor, modeling an employees array with names and emails as strings. JSON is JavaScript Object Notation, lightweight and easy to read and write.
Explore how JSON uses objects and arrays to organize data for apps and APIs. Learn serialization, deserialization, and transmitting structured data between servers and web apps.
Explore merging JSON with HTML by using JavaScript to define objects, access language and author properties, and display them with document.write and HTML headings.
Demonstrates using JavaScript and HTML together to write dynamic content with document.write, pulling language and author from a JSON-like object and displaying them in headings and paragraphs.
Explore how JSON represents data with objects (unordered name/value pairs) and arrays (ordered values), and review supported data types such as numbers, strings, booleans, null, and whitespace.
Learn JSON data types and syntax, including strings, booleans, arrays, and objects, with null and whitespace examples and plain value usage.
Create simple JSON objects with attributes such as book name and price, using variable syntax and object creation in JavaScript and HTML demonstrations.
Create JSON array objects using JavaScript in an HTML page by defining a books array with items like Pascal and Scala books, including name and price properties.
Demonstrates rendering a books array into an HTML table with JavaScript, looping to print name and price using document.write and writeln and table tags.
Create and display array objects in JSON using JavaScript by iterating with for loops and rendering a tabular HTML table of Pascal and Scala items with name and price.
Learn how JSON schema defines the structure of JSON data, making it human and machine readable while enabling complete structural validation, automated testing, and validating client submitted data.
Explore how to define a JSON schema using keywords like title, description, type, properties, and pattern, and apply constraints such as minimum, maximum, minimum length, and maximum length.
Compare json and xml to highlight json's compact syntax, xml's tag-based structure, and array support. Explain how json is parsed with JavaScript's eval and discuss readability and language independence.
Trace JSON history from Douglas Crockford's State Software in 2001 to Yahoo in 2005 and Google in 2006, and its rise as a data interchange format for web APIs.
Explore when to use JSON versus RDBMS, including NoSQL JSON storage and MongoDB, and sorting arrays while applying JSON for programming languages and student project data scenarios.
Explore creating and displaying JSON objects and arrays, including books with name and price, and build a menu pop-up with new, open, and save items wired to on-click functions.
Access json data using a for loop to traverse a json object and display name, number, and condition in a simple html page with javascript.
Access json array data using a for loop by building a simple html page with a colors array and records of names and cities, then display each color in sequence.
Master the basics of accessing JSON array data by using for loops to display color values and nested records, including zero-based indexing and key-value access with document.write.
Explore how JSON.stringify converts a javascript object to a string and renders it in the browser, using a sample HTML file with colors and records data.
Explore the json.parse function by parsing data into an object, access name, city, and colors, and display the parsed values using document.write.
Build an XML to JSON converter in Python, deploy a Lambda function on AWS, and explore basics, customization, and security through a hands-on case study.
Explore how to convert XML to JSON, build Python functions in AWS Lambda, and deploy a JSON-based API, using a housing company case study to demonstrate real-world AWS Lambda workflows.
Explore a hands-on XML to JSON parser project on AWS Lambda, detailing Python coding, PyCharm setup, library packaging, and deployment workflows.
Explain how get data and lambda handler connect with the XML reader's XML dict to parse XML and return JSON in AWS Lambda, with logging and error handling.
Execute python code end-to-end by calling get data through the lambda handler, converting xml to json, handling positive and negative cases, and validating exit codes in PyCharm.
Learn to deploy an end-to-end AWS Lambda project, test the XML to JSON output, and access it via API gateway URL with logs, runtime, and handler details.
Deploy your code to AWS Lambda via the management console, create a function named XML to JSON with Python 3.8, attach an IAM role, and deploy by zip upload.
Import your code zip into AWS, configure a lambda with the XML to JSON handler, adjust memory and timeout, and run tests to verify the JSON output.
Create an API gateway to invoke the XML to JSON Lambda function via a REST API, using a get method and a mapping template to return JSON.
Deploy the API with a new test stage, then test the Get function (unit list, floor plans) to validate the XML to JSON conversion and API gateway Lambda integration.
JSON (JavaScript Object Notation) is a lightweight data-interchange format that has become the backbone of modern web development, APIs, and cloud applications. This course offers a deep dive into JSON, starting from its fundamentals to real-world applications. You'll learn to manipulate JSON data, integrate it with various technologies, and implement a project-based approach by building a fully functional XML-to-JSON converter using AWS Lambda.
Section 1: Comprehensive Introduction to JSON
This section lays the groundwork by introducing JSON, its evolution, and its applications in modern technology. Starting with the basics of JSON syntax, objects, and arrays, you'll progress to explore its compatibility with existing technologies. Hands-on lectures demonstrate creating objects and array objects and implementing them with HTML and JavaScript. You'll also delve into JSON schema definitions, supported data types, and differences between JSON and XML. The section wraps up with practical examples of accessing JSON data using loops and exploring essential functions like JSON.stringify and JSON.parse.
Section 2: Project on AWS Lambda - XML to JSON Converter
In this practical section, you'll apply your JSON knowledge to build an XML-to-JSON converter using AWS Lambda. The project begins with an introduction to the requirements and objectives, followed by step-by-step coding discussions and execution. You’ll learn how to deploy the project on AWS, create APIs, and test their functionality. This hands-on experience will help you understand how to integrate JSON with cloud-based services and make your applications scalable and efficient.
Conclusion
By the end of this course, you’ll be equipped with an in-depth understanding of JSON and its applications across technologies. You'll have hands-on experience with JSON projects and learn to deploy and integrate JSON-based solutions with AWS Lambda, a critical skill for modern developers and cloud engineers.