Regular expressions are a practical tool for validating inputs, parsing logs, extracting IDs, and enforcing formatting rules. They look lightweight, but certain patterns can behave in unexpectedly expensive ways. Regular
Data rarely arrives in a neat, symmetric shape. In real projects, variables like income, transaction value, customer lifetime spend, delivery times, and web session duration often show a strong right
Data-driven systems rarely operate in static environments. Customer behaviour changes, markets fluctuate, sensors degrade, and policies evolve. Models trained on historical data can swiftly become outdated when the real world