🇳🇬 Nigerian Market Sales Intelligence Engine
Day 13 – List Comprehension & Lambda Functions in Python
In many Nigerian markets — Balogun, Ariaria, Wuse, Ogbete, Bodija — business decisions are made fast, often without structured data analysis.
Sales are written in notebooks.
Numbers are messy.
Insights are intuitive.
But what if a few lines of Python could change that?
This post demonstrates how list comprehensions and lambda functions can transform raw market data into instant business intelligence.
🌍 The Real Problem (African Context)
Most informal businesses in Africa:
- Record sales as rough lists
- Manually calculate totals
- Cannot quickly spot good or bad sales days
- Waste time looping through data
In the informal economy, speed = survival.
Python gives us a powerful advantage.
👥 Who This Is For
- Market traders exploring tech
- SMEs & POS operators
- Beginner Python learners leveling up
- Developers interested in real-world African problems
🧠 Concepts Covered
- ✅ List Comprehension
- ✅ Conditional Filtering
- ✅ Lambda Functions
- ✅ Data Transformation
- ✅ Functional Thinking
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