Voici comment vous pouvez maîtriser les stratégies de raisonnement logique avancées utilisées par les développeurs d’applications experts.

Understanding programming logic constructs is fundamental to building expert applications because: 1. Control Flow Management: - If-Else Statements: Enable decision-making, creating dynamic and responsive applications. - Loops: Automate repetitive tasks, efficiently handle collections of data. 2. Code Efficiency: - Loops: Reduce redundancy by eliminating the need to write repetitive code. - Functions: Promote reusability and modularity by creating self-contained units. Example: In a payment application, if-else statements can be used to determine user access levels (e.g., admin, customer), while loops can process transactions in bulk, and functions can handle operations like authentication or transaction processing.

El pensamiento abstracto debe ser convertido en un algoritmo, que puede comenzar así: - Cuál es la solicitud? - Qué se desea resolver? - Quienes usarán la solución? Con estas tres preguntas puedes comenzar a armar una solucion realmente abstracta y que no necesariamente debe ser lo que el cliente esta solicitando... Ayuda a tu cliente a ser exitoso....

Thinking abstractly is essential in programming for building expert applications because it allows you to conceptualize and manage complex systems effectively. Abstract thinking enhances your ability to: - Generalize solutions - Simplify complex systems - Design modular and encapsulated components - Apply design patterns - Communicate effectively - Adapt to changes These capabilities are crucial for developing robust, scalable, and maintainable expert applications. Here’s one way it contributes to software development: Problem Generalization: - Abstraction: Helps identify common patterns and principles, allowing you to create generic solutions that can be applied to various specific problems, enhancing reusability and flexibility.

Logical patterns are crucial for building expert applications by: - Providing consistent and reliable solutions - Enhancing efficiency and reusability - Managing complexity and ensuring scalability - Facilitating maintenance, debugging, communication, and collaboration. Example: 1. Design Patterns: Such as Singleton, Factory, or Observer, offer solutions to recurring design problems and promote best practices in object-oriented design. 2. Algorithmic Patterns: Like sorting algorithms (e.g., quicksort, mergesort) and data structures (e.g., trees, graphs) help optimize performance for specific tasks. 3. Architectural Patterns: Such as Model-View-Controller (MVC) or microservices, provide frameworks for structuring applications effectively.

Data The essential component of effective software development, whether as AI or engineering (there is a big difference) is well-defined and well-organized data. For AI, we require huge repositories of well-organized data where the relationships are usable for both training and for correlation. In engineering, we need semantically precise data goes beyond the bitwise and bytewise descriptions When the data is abundant and of high quality, the algorithms — logical relationships — become much easier to conceive, create, and trust

Es sumamente importante tener imaginación para desarrollar nuevas soluciones tecnológicas, ya que esto te permitirá salir de la zona de confort en la que nos colocamos todos los desarrolladores pensando que sabemos todo respecto al mundo de la codificación. Hay veces donde la solución esta en la lógica, no en el desarrollo, y es allí donde la imaginación te permitirá crear cosas que tu mismo no sabes que puedes crear.