Welcome to the lesson on parsing JSON files in Python. Up until now, you've learned about the JSON format and how to create JSON structures in Python. Today, we will dive deeper into parsing JSON files, a crucial skill for working with data sources in the real world.

JSON (JavaScript Object Notation) is a popular lightweight format for exchanging data. Many web applications and APIs use JSON to send and receive data, making it essential for developers to parse JSON efficiently. This lesson focuses on utilizing Python's built-in json module to parse JSON data from files, bringing JSON's structure and Python's versatility together.

Before we parse a JSON file, let's briefly revisit JSON's hierarchical structure. JSON comprises key-value pairs, objects, and arrays. Remember:

• Key-Value Pairs: These form the basis of JSON. A key is always a string, while the value can be a string, number, object, array, true, false, or null.

• Objects: These are collections of key-value pairs enclosed in curly braces ({}).

• Arrays: These are ordered lists of values enclosed in square brackets ([]).

Here's an example JSON snippet to illustrate:

In this structure, "name", "location", and "students" are keys. "location" points to another object, and "students" is an array of objects.

Now, let’s move on to reading JSON files using Python. This process involves using Python’s json module, specifically the json.load() function. The json module is preinstalled in Python, so there's no need to install any additional package.

First, we need to open the file. We'll use a context manager (with statement) to ensure the file is properly closed after reading.

Here, file_path is the path to the JSON file. The open function opens the file in read mode ('r'), and the context manager (with) ensures that the file is closed automatically once the code block is done.

Next, we load the JSON data from the file using the json.load() function.

In this line, json.load(file) reads the JSON content from the file object file and parses it into a Python dictionary named data. This dictionary can now be manipulated using Python's standard operations.

Let's examine what we've parsed by printing it out.

After executing this code, you'll see the content of the JSON file printed as a Python dictionary. For our data.json, the output would look like this:

Here's the unified code snippet for opening and loading JSON data:

After parsing the JSON file, let's learn how to access specific elements within this hierarchical structure.

Suppose you want to access the school name. Use:

To get the city from the "location" object:

If you wish to access the first student's name:

These examples demonstrate how to efficiently navigate and extract data from a JSON structure.

When working with JSON parsing, you might encounter a few common errors. Let’s discuss some of these and ways to troubleshoot them. If the file path is incorrect or the file doesn't exist, you'll see a FileNotFoundError. Solution: Check if the file path is correct and the file exists.

When the JSON data is malformed or the file content isn't a valid JSON structure, the JSONDecoderError occurs Solution: Validate your JSON with an online JSON validator, or use a try-except block to handle errors gracefully.

In this lesson, you've learned to parse JSON files in Python using the json module. You've revisited JSON's structure, used the json.load() function to read JSON data from files, and accessed various elements within JSON data. Additionally, we covered common errors and how to resolve them.

Next, you'll apply this knowledge in practice exercises. These exercises will reinforce your understanding by requiring you to read, parse, and extract data from JSON files similar to what we covered. Remember, mastering these skills is crucial for effectively handling data in Python applications. Happy coding!