🇳🇬 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