Developed Framework for Jupyter Notebook Analysis

📅 2023-12-19 — Session: Developed Framework for Jupyter Notebook Analysis

🕒 19:10–21:30
🏷️ Labels: Jupyter Notebooks, Ai Analysis, Python Scripting, Openai Api, Data Processing
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop a comprehensive framework for analyzing and processing Jupyter notebooks using AI, focusing on enhancing data analysis projects.

Key Activities

• Notebook Processing Framework: Established a structured approach for analyzing notebooks, emphasizing objectives, methodologies, findings, and code quality.
• Prompt Engineering: Designed structured prompts for Jupyter notebook analysis to improve AI clarity and response quality.
• Automation Strategies: Explored strategies for applying prompts to notebooks efficiently, recommending detailed analysis for complex projects.
• Workflow Development: Created a workflow for looping over notebooks, extracting content, and analyzing responses using the OpenAI API.
• Python Scripting: Developed a Python script using nbformat to extract markdown and comments from notebooks, and modified scripts for accessing local variables.
• API Integration: Provided a guide to run OpenAI API scripts locally, addressing errors like APIRemovedInV1, and outlined steps for upgrading to the new OpenAI SDK.

Achievements

• Successfully established a framework and workflow for Jupyter notebook analysis.
• Developed scripts and guides for efficient notebook processing and API integration.
• Identified and resolved API-related errors, ensuring smooth execution of scripts.

Pending Tasks

• Further testing and refinement of the developed scripts and workflows.
• Exploration of additional automation opportunities for large-scale notebook projects.