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Download this code from https://codegive.com Filtering objects in Python based on criteria defined in JSON can be a common task when working with data. This tutorial will guide you through the process of filtering objects using the filter() function and criteria specified in a JSON format. We'll provide a step-by-step explanation along with code examples to help you understand and implement this filtering process. Make sure you have Python installed on your system. You can download it from python.org. Let's start by creating some sample data. We'll use a list of dictionaries to represent a collection of objects. Each dictionary will contain key-value pairs representing attributes of an object. Create a JSON object that represents the filtering criteria. This JSON will contain key-value pairs where the keys correspond to the attributes you want to filter on, and the values represent the desired criteria. Use the filter() function along with a lambda function to filter the objects based on the specified criteria. The all() function checks if all the conditions specified in the lambda function are true for a given object. Print the filtered data to see the result. This tutorial provides a simple example of filtering objects in Python based on criteria in JSON. You can adapt this approach to more complex scenarios by extending the criteria or using different data structures. ChatGPT