📅 2023-10-02 — Session: Refactored Python Functions for Improved Reusability
🕒 13:15–15:50
🏷️ Labels: Python, Refactoring, Code Organization, Data Analysis, Error Handling
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session focused on improving the modularity and reusability of Python code, specifically by refactoring functions and organizing code within notebooks and Python files.
Key Activities:
- Explored common keyboard shortcuts for commenting in Markdown editors.
- Provided insights and suggestions for organizing and documenting notebooks to enhance modularity and optimization.
- Outlined a modular structure for a data analysis project, detailing the organization of code into logical units.
- Addressed Python
ImportErrorandNameErrorissues, providing troubleshooting steps and solutions. - Conducted code review and suggested improvements for data loading functions.
- Recommended documentation practices for census sample code.
- Discussed refactoring strategies for Python functions to enhance readability and reusability by passing global variables as arguments.
- Proposed the extraction and adaptation of functions to a separate Python file,
funciones.py, to improve code organization. - Detailed a workflow for data collection and processing of socioeconomic statistics in Argentina.
Achievements:
- Successfully refactored functions to improve code clarity and reusability.
- Enhanced the organization of code in notebooks and Python files.
- Provided a structured guide for handling common Python errors.
Pending Tasks:
- Further testing of the refactored functions to ensure compatibility and functionality within the existing codebase.
- Implementation of suggested documentation improvements in census sample code.