Jupyter Notebooks for Permit Pipeline

Workflow sequence

1. Claude Code for Jupyter Notebooks: Claude Code is perfect for building structured code projects. It can:

• ✅ Create multiple .ipynb files programmatically

• ✅ Organize your workflow into clean, documented notebooks

• ✅ Set up the entire project structure

• ✅ Run tests to verify everything works

# Claude Code prompt structure:

Create a series of Jupyter notebooks for Berkeley housing data pipeline:

NOTEBOOK A1: Data Sources Setup

- Connect to Berkeley Open Data Portal API

- Download zoning permits, building permits, inspections, certificates of occupancy

- Set up automated refresh scripts

- Document data schemas

NOTEBOOK A2: Address Standardization

- Load all permit types

- Standardize addresses across different datasets

- Link permits by APN and address

- Create master address registry

NOTEBOOK A3: Geocoding Pipeline

- Use Alameda County address points (existing)

- Handle numerical street variations (FIFTH ↔ 5TH)

- Handle street type variations (AV ↔ Avenue)

- Manual geocoding for new addresses

- Validation: Check coordinates are in Berkeley bounds

"""

NOTEBOOK B1: Project Lifecycle Tracking

- Link zoning permits → building permits → inspections → occupancy certificates

- Track by APN and address

- Calculate timeline metrics:

  * Days from proposal to approval

  * Days from approval to construction start

  * Days from start to completion

  * Total development time

NOTEBOOK B2: Status Classification

- Classify each project:

  * Proposed (zoning permit submitted)

  * Approved (zoning permit issued)

  * Permitted (building permit issued)

  * Under Construction (inspections in progress)

  * Completed (certificate of occupancy issued)

  * Stalled (no activity for 180+ days)

NOTEBOOK B3: Progress Indicators

- Track inspection milestones:

  * Foundation inspection

  * Framing inspection

  * Rough electrical/plumbing

  * Final inspection

- Calculate % complete based on inspection sequence

"""

"""

NOTEBOOK C1: Pipeline Analysis

- Projects by status (proposed, approved, under construction, completed)

- Units by status

- Conversion rates (% of proposals that get approved)

- Completion rates (% of approvals that get built)

NOTEBOOK C2: Timeline Analysis

- Average time at each stage

- Identify bottlenecks

- Compare by project size

- Seasonal patterns

NOTEBOOK C3: Proposal vs Reality

- Compare proposed units vs actual units built

- Identify projects that changed scope

- Calculate attrition rate (projects that never started)

"""

"""

NOTEBOOK D1: Monthly Progress Report Generator

- Automatically generate report with:

  * New proposals this month

  * Approvals this month

  * Construction starts

  * Completions

  * Total pipeline status

- Export as PDF or HTML

NOTEBOOK D2: Dashboard Data Export

- Generate JSON files for website dashboard

- Update map data with latest statuses

- Create time-series data for charts

NOTEBOOK D3: Alerts & Monitoring

- Flag projects that have stalled

- Identify inspection delays

- Track projects approaching completion

"""

https://colab.research.google.com/drive/1T9bR1mPLcjOiGpPWY7Y1JIrExPza7crz