JSON

Lesson in the Python for Data Analysis Roadmap · Stage 7: Reading Local Files

Last updated 14 September 2026

What is JSON?

JSON (JavaScript Object Notation) is a text format for structured data commonly returned by APIs. pd.read_json() converts JSON into a DataFrame, though nested structures often require normalization with pd.json_normalize(). JSON is flexible but can be irregular in structure, requiring careful handling of missing fields.

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Free resources to learn JSON

Official docspandas.read_json
ArticlePandas Read JSON

JSON: common questions

Can I learn JSON in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain JSON in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this JSON tutorial for beginners?

It is lesson 50 of 112 in the free Python for Data Analysis roadmap, in stage 7, Reading Local Files. If you are new to Python for Data Analysis, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.