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LDS Python 50 — 50 Curated Python Problems
A 5-stage pandas progression from boolean indexing through groupby + rolling windows to staff-level multi-table scorecards, structured across 15 production-grade schemas — payments, lodging, streaming, social — so the same pattern repeats across different domains until it sticks. The Python companion to LDS SQL 50.
Problems included in LDS Python 50
- Active Advertiser Profiles
- High-Value Approved Claims
- Active Property Profiles
- Delivered Delivery Orders
- Captured USD Charges
- Large Single-Family Homes
- Delivered Ship Orders
- Enterprise Active Organizations
- Active Auto-Renewing Subscriptions
- Active Business Customers
- Campaigns with Advertiser Names
- Transactions With Account Type
- Positions With Security Names
- Reservations with Guest Names
- Orders With Customer Names
- Deliveries With Courier Info
- Trips With Rider Names
- Refunds With Charge Details
- Order Items With Product Details
- Plans Without Subscriptions
- Total Trade Volume by Security
- Average Satisfaction by Channel
- Impression Stats by Country and Device
- Compute Occupancy Rate
- Rank Accounts by Balance Within Type
- Running Total Revenue Per Merchant
- Daily Session Change
- 7-Day Moving Average Order Value
- Rank Drivers by Trip Count
- Order Value Quartile Bucketing
- Provider Claims Performance Summary
- Pivot Usage Quantities by Org and Metric
- Classify Campaigns by Budget Tier
- Loan Risk Classification
- Listing Competitiveness Score
- Cost Per Kg and Cost Per M3
- Account Age in Days
- Normalize Payment Amounts to USD
- Clean and Enrich User Portfolio Data
- Pivot Order Counts by Status and Fulfillment
- Monthly Usage Volume by Metric
- Post Engagement Score
- Campaign Performance Scorecard
- Full Customer Portfolio Report
- Full-Funnel Booking Report
- Warehouse Throughput Analysis
- Merchant Health Scorecard
- End-to-End Order Report
- Customer Success Dashboard
- Customer Health Classification