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240154508
Méthodes numériques avec Python: Théorie algorithmes implémentation et applications avec Python 3
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Item #:
240154508
MOP 474
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Découvrez les principes mathématiques et leur application avec des méthodes numériques en Python, enrichies d'exercices corrigés et de ressources en ligne.
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What Stands Out
Comprehensive Coverage
Offers thorough exploration of numerical methods, combining theory and practical algorithms, ensuring readers gain both foundational knowledge and applicable skills in Python.
Real-world Applications
Demonstrates practical implementations, showcasing how numerical methods solve real-world problems, which enhances reader engagement and understanding of complex concepts.
Python 3 Focus
Specifically tailored for Python 3, ensuring compatibility and relevance with current programming standards, facilitating smooth learning experiences and modern applications.
Product Details
| Herausgeber | DUNOD |
| Erscheinungstermin | 11. Januar 2023 |
| Sprache | Franzu00f6sisch |
| Seitenzahl der Print-Ausgabe | 416 Seiten |
| ISBN-10 | 2100840797 |
| ISBN-13 | 978-2100840793 |
| Abmessungen | 17 x 2.3 x 24 cm |
Who Should Buy?
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Students in Engineering
Ideal for engineering students needing practical applications of numerical methods using Python for their coursework and projects.
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Data Scientists
Beneficial for data scientists looking for a comprehensive guide on numerical techniques for data analysis and machine learning.
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Self-learners
Great for self-learners who want a structured approach to mastering numerical methods with practical Python examples.
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Absolute Beginners
Not suitable for absolute beginners in programming who lack prior knowledge of Python or numerical methods.
Product Description
Méthodes numériques avec Python: Théorie algorithmes implémentation et applications avec Python 3
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Französisch Ausgabe von Michael Baudin (Autor) Mathematik Editorial Review
Méthodes Numériques Avec Python: Théorie Algorithmes Implémentation Et Applications Avec Python 3 is a comprehensive guide published by DUNOD, featuring a substantial 416 pages of content designed for those interested in numerical methods and their applications using Python 3. The book's layout is accessible, and the clear explanations help readers grasp complex concepts effectively. Its structured approach allows for a seamless integration of theory and practical implementation, making it an excellent resource for both students and professionals. Furthermore, the inclusion of real-world applications ensures that the material is relevant and engaging, fostering a deeper understanding of numerical algorithms and their practical uses.
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Pros
- Comprehensive guide on numerical methods
- Clear explanations of complex concepts
- Integrates theory with practical implementation
- Suitable for students and professionals
- Includes real-world applications
Cons
- Some concepts may be challenging for beginners
Product Price History
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MOP 474
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Features & Benefits
- Comprehensive introduction to numerical methods using Python.
- Combines mathematical theory with practical applications.
- Utilizes popular libraries Numpy and Scipy.
- Includes real-world applications instead of just theoretical examples.
- Features corrected exercises to aid learning.
- Access to source code scripts online enhances the learning experience.
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