📅 2023-12-20 — Session: Structured GitHub Repository for Economic Analysis
🕒 04:00–05:30
🏷️ Labels: Github, Repository, Data Analysis, Jupyter, Python
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to organize and structure a GitHub repository for an economic analysis project, focusing on French exporters and related data.
Key Activities
- Reviewed and summarized the analysis conducted in the ‘Count buyer-seller links.ipynb’ notebook, focusing on datasets, methods, findings, and recommendations.
- Developed technical prompts for summarizing Jupyter notebooks, emphasizing computational methods and Python libraries.
- Created a Python script for processing notebooks with error handling using the OpenAI API.
- Designed a structured prompt for categorizing Jupyter notebooks by data pipeline stage and thematic area.
- Proposed a GitHub repository structure, including directories for data preparation, economic network analysis, and trade analysis.
- Suggested a renaming scheme for notebooks using a bash script.
- Drafted a comprehensive README.md template for the GitHub repository.
Achievements
- Successfully outlined a detailed structure for organizing the GitHub repository, enhancing clarity and usability.
- Developed a robust framework for notebook categorization and renaming.
- Established a clear plan for repository documentation, including README.md content.
Pending Tasks
- Implement the proposed notebook renaming scheme using the bash script.
- Finalize and upload all categorized notebooks and scripts to the structured GitHub repository.
- Review and refine the README.md content for accuracy and completeness.