Implemented JSON export and optimization strategies

• Day: 2023-03-29
• Time: 21:30 to 21:45
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, JSON, Data Processing, Optimization, Pandas

Description

Session Goal: The session aimed to implement and optimize data manipulation techniques using Python, focusing on exporting data as JSON and improving performance.

Key Activities:

1. Developed Python code to group datasets by variable and year, creating nested dictionary structures for JSON export.
2. Explored strategies to enhance data writing performance, including efficient file formats and distributed computing.
3. Optimized dictionary creation from grouped DataFrames using the to_dict method in Python.
4. Implemented code to load JSON files into Pandas DataFrames, optimizing memory usage by setting columns as categorical data types.
5. Addressed JSON formatting errors, providing guidance on debugging common issues using [[json]].loads().

Achievements:

• Successfully created and exported nested dictionaries to JSON files.
• Improved data writing efficiency and dictionary creation methods.
• Enhanced JSON data loading into Pandas DataFrames with optimized memory usage.

Pending Tasks:

• Further exploration of distributed computing frameworks for large-scale data processing.

Evidence

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• event_ids: []