Write Pandas Like a Pro With Method Chaining Pipelines

Writing production-ready Pandas code involves structuring transformations into a continuous pipeline using method chaining. This approach avoids creating numerous intermediate variables, resulting in code that is significantly cleaner, more readable, and easier to debug. Key tools for this pattern include the `assign()` method for creating new columns and the `pipe()` method for applying custom functions without breaking the flow. Adopting this style represents a shift from thinking about isolated steps to viewing data processing as a single, coherent transformation.