Implemented JSON export and optimization techniques

📅 2023-03-29 — Session: Implemented JSON export and optimization techniques

🕒 21:30–21:45
🏷️ Labels: Python, JSON, Data Processing, Optimization, Pandas
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal: The session aimed to implement and optimize techniques for exporting data to JSON format using Python, specifically focusing on grouping data and improving performance.

Key Activities:

• Developed Python code snippets to group datasets by variable and year, creating nested dictionary structures for JSON export.
• Explored methods to optimize data writing speed, including the use of efficient file formats and distributed computing frameworks.
• Implemented efficient dictionary creation from grouped DataFrames using the to_dict method, enhancing performance.
• Provided instructions on loading JSON files into Pandas DataFrames, optimizing memory usage by setting columns as categorical data types.
• Addressed JSON formatting errors, offering guidance on debugging with json.loads().

Achievements:

• Successfully created and exported nested dictionaries to JSON format.
• Enhanced data writing performance through optimized techniques.
• Improved data manipulation efficiency in Pandas.

Pending Tasks:

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