python json load from file

Title: A Comprehensive Guide to Loading JSON Data from a File in Python
Introduction:
JSON (JavaScript Object Notation) is a lightweight data interchange format commonly used for data storage and communication between a server and a web application. Python provides a built-in module called json that makes it easy to work with JSON data. In this tutorial, we'll explore how to load JSON data from a file in Python using the json module.
Step 1: Import the json Module
Start by importing the json module in your Python script or Jupyter Notebook.
Step 2: Open the JSON File
Use the open() function to open the JSON file in read mode ('r'). Make sure the file is in the same directory as your Python script or provide the full path to the file.
Step 3: Load JSON Data
Step 4: Access and Use the Data
Now that you have loaded the JSON data into a Python dictionary (parsed_data), you can access and manipulate the data as needed.
Step 5: Handling Large JSON Files
For large JSON files, consider using the json.JSONDecoder class to create a custom decoder with an incremental parsing approach. This allows you to process the file in chunks, reducing memory usage.
Conclusion:
Loading JSON data from a file in Python is a common task, and the json module simplifies this process. By following these steps, you can efficiently read and parse JSON files, making it easy to work with the data in your Python applications.
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