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Ajouter au panierTaschenbuch. Etat : Neu. Efficient Coding with Python: Mastering Optimization Techniques | Rupesh Kumar Tipu (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207474097 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 br.
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Ajouter au panierTaschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -'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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - '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.