Mon Jun 09 12:39:01 PM +08 2025#0

Embrace object-oriented patterns for organization. For organizing larger parts of your application, consider object-oriented constructs. Using structs or enums can encapsulate related data and functions, providing a clear structure without worrying about the details. Leverage functional patterns for data transformations. Especially within smaller scopes like functions and closures, functional methods such as mapping, filtering, or reducing can make your code both concise and clear. Use functional programming when you can phrase your problem as a series of transformations over some data.} Use imperative style for granular control. In scenarios where you’re working close to the hardware, or when you need explicit step-by-step execution, the imperative style is often a necessity. It allows for precise control over operations, especially with mutable data. This style can be particularly useful in performance-critical sections or when interfacing with external systems where exact sequencing matters. However, always weigh its performance gains against potential readability trade-offs. If possible, encapsulate imperative code within a limited scope. Prioritize readability and maintainability. Regardless of your chosen paradigm, always write code that’s straightforward and easy to maintain. It benefits not only your future self, but also your colleagues who might work on the same codebase. Avoid premature optimization. Don’t prematurely optimize for performance at the cost of readability. The real bottleneck might be elsewhere. Measure first, then optimize. Elegant solutions can be turned into fast ones, but the reverse is not always true.