KASA VLAB · ADVANCED PYTHON PROGRAMMING

Data Manipulation — JSON Pipeline

Load → Memory → Transform → Write → Save Local
GOLDEN CELL
END-TO-END LEARNING FLOW

See the whole JSON data lifecycle

Learner loads a real JSON file, inspects the in-memory dataset, edits Python transformation code, runs it, then writes the transformed JSON back to the local computer.

📥 Download Sample JSON
{ }
1 · JSON File

Browse a real file

→
▦
2 · Load to Memory

json.loads()
Python list / dict

→
Py
3 · Transform

Edit Python code
filter · map · calculate

→
↓
4 · Write JSON

json.dumps()
Save to local

Python Console / Editable Code

No JSON file selected.
Try changing PASS threshold, filtering by course, sorting by score, adding fields, or changing the output structure.

Console + Data Inspector

PYTHON CONSOLE
1. Download or choose a JSON file.
2. Browse the file.
3. Edit Python.
4. Run the transformation.

Input Dataset — In Memory

Waiting for JSON...

Output Dataset — After Transform

Run Python to create output_data.

JSON Ready to Write

No output yet.