Python: Design Patterns
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Design patterns are formalized best practices for solving common programming problems. They show relationships between classes and objects to address recurring design problems, but are not finished designs that can be directly converted to code. Design patterns provide reusable solutions to software design problems in specific contexts, and examples include strategy, computation, execution, implementation, and structural patterns.
Python: Design Patterns
- 2. Design Patterns • A Design Pattern is a general reusable solution to a commonly occurring problem within a given context in software design.
- 3. Design Patterns • It is not a finished design that can be transformed directly into source or machine code. It is a description or template for how to solve a problem that can be used in many different situations.
- 4. Design Patterns • Design patterns are formalized best practices that the programmer can use to solve common problems when designing an application or system.
- 5. Design Patterns • Object-oriented design patterns typically show relationships and interactions between classes or objects, without specifying the final application classes or objects that are involved.
- 6. Design Patterns • Patterns that imply mutable state may be unsuited for functional programming languages, some patterns can be rendered unnecessary in languages that have built-in support for solving the problem they are trying to solve, and object-oriented patterns are not necessarily suitable for non-object-oriented languages.
- 7. Sample Design Patterns Type Description Algorithm strategy patterns Addressing concerns related to high-level strategies. Computational design patterns Addressing concerns related to key computation identification. Execution patterns Addressing concerns related to lower-level support of application execution. Implementation strategy patterns Addressing concerns related to implementing source code. Structural design patterns Addressing concerns related to global structures.
- 8. etc.