Optimized Data Loading and Regression Code

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📅 2023-02-25 — Session: Optimized Data Loading and Regression Code

🕒 00:15–00:35
🏷️ Labels: Python, Data Analysis, Code Optimization, Regression
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to optimize data loading and regression code in Python for improved efficiency and performance.

Key Activities

  • Optimized Python code for loading project information, violence levels, and covariates.
  • Implemented cleaner data handling and efficient merging of datasets.
  • Developed an aggregation function for pandas DataFrames to allow flexible data analysis.
  • Modified a custom groupby_aggregate function to accept customizable aggregation functions.

Achievements

  • Successfully optimized data loading and regression processes.
  • Enhanced data manipulation capabilities with new aggregation functions.

Pending Tasks

  • Further testing and validation of the optimized code to ensure robustness and accuracy.

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