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Python json.load() Function: Usage and Examples

Read JSON from an open text file or stream. json.load(file) parses one complete JSON value from a file-like object.

2 views Published Oct 17, 2026 Updated Oct 18, 2026 Admin

This Python tutorial explains json.load() Function: Usage and Examples. Follow the example, inspect the output, and practise an input change so you understand the behavior rather than simply copying the syntax.

What This Feature Does


Read JSON from an open text file or stream.

json.load(file) parses one complete JSON value from a file-like object. Open text files with an explicit UTF-8 encoding, handle JSONDecodeError, and close resources through a with statement.

When to Use It


This technique belongs to JSON processing. It is useful when the input, operation and expected outcome are known. Start with a small controlled example before integrating it into a larger workflow.

Step-by-Step Python Example


Read the code once before running it. Notice which values are inputs, which function or method performs the work, and whether the result is returned or stored by changing an existing object.

import json
from io import StringIO
input_stream = StringIO('{"enabled": true, "retries": 3}')
settings = json.load(input_stream)
print(settings['enabled'])
print(settings['retries'])

Understanding the Code


  • First, the imports make json, io available. They provide the filesystem, data or standard-library functions used later.
  • Find the call json.load(input_stream). Its parameters determine the specific operation demonstrated in the title.
  • Its purpose is to read json from an open text file or stream. Compare this description against the result printed by the program.
  • The print() expressions display a checkable outcome. Print values and exception names are not substitutes for the program result itself.

Expected Output


True
3

Each printed line corresponds to a separate observation in the program. Use the lines to distinguish returned data, changes to existing objects, and status checks.

Important Details and Edge Cases


Read a small configuration document from a local UTF-8 JSON file.

Decoding a valid file format does not automatically validate the meaning of its data. Confirm expected keys, types, permitted values and resource limits before using externally supplied content.

Practice: Try It Yourself


Use loads() for text already in memory.

Begin by copying the example into a separate practice file. Change one input at a time, run it again, and describe why the result changed. If the exercise writes or deletes files, keep it inside a temporary test folder.

Official Python Documentation


For the complete reference, see the Python standard library documentation.

Common Beginner Mistakes


  • Passing a filename string directly to json.load() instead of an open file object.
  • Read a small configuration document from a local UTF-8 JSON file.
  • Decoding a valid file format does not automatically validate the meaning of its data. Confirm expected keys, types, permitted values and resource limits before using externally supplied content.

Key Takeaways


  • Read JSON from an open text file or stream.
  • json.load(file) parses one complete JSON value from a file-like object. Open text files with an explicit UTF-8 encoding, handle JSONDecodeError, and close resources through a with statement.
  • Avoid this common pitfall: Passing a filename string directly to json.load() instead of an open file object.
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