Efficient Coding with Python: Mastering Optimization Techniques

"Efficient Coding with Python: Mastering Optimization Techniques" is a comprehensive guide that delves into the realm of optimization, providing a deep dive into both foundational and advanced strategies tailored for Python programmers. The book covers a broad spectrum of topics, from linear and nonlinear optimization methods to sophisticated metaheuristic and stochastic algorithms, elucidating their theoretical underpinnings and practical implementations. It offers insightful discussions on Python's pivotal libraries and tools for optimization, paired with real-world examples and case studies that illustrate the application of these techniques in various domains. Readers will learn to structure optimization projects effectively, ensuring robust and efficient solutions, and will gain valuable skills in applying Python to solve complex optimization challenges, thereby enhancing their decision-making and problem-solving capabilities in professional or research environments.

Auteur

Assistant Professor in Civil Engineering with a focus on structural optimization and ML in concrete design. Holds B.Tech, M.Tech, and a Ph.D., with more than 20 published research papers and a decade of teaching experience. Currently enhancing structural design and education at K.R. Mangalam University, India.

Texte du rabat

"Efficient Coding with Python: Mastering Optimization Techniques" is a comprehensive guide that delves into the realm of optimization, providing a deep dive into both foundational and advanced strategies tailored for Python programmers. The book covers a broad spectrum of topics, from linear and nonlinear optimization methods to sophisticated metaheuristic and stochastic algorithms, elucidating their theoretical underpinnings and practical implementations. It offers insightful discussions on Python's pivotal libraries and tools for optimization, paired with real-world examples and case studies that illustrate the application of these techniques in various domains. Readers will learn to structure optimization projects effectively, ensuring robust and efficient solutions, and will gain valuable skills in applying Python to solve complex optimization challenges, thereby enhancing their decision-making and problem-solving capabilities in professional or research environments.