Numerical Methods for Physics (Python)
genuine image
Numerical Methods for Physics (Python)
Covers a broad spectrum of the most important, basic numerical and analytical techniques used in physics, including ordinary and partial differential equations, linear algebra, Fourier transforms, integration, and probability.
Numerical Methods for Physics (Python)
Numéro d'article: 9859799

Numerical Methods for Physics (Python)

85% des répondants recommanderaient ceci à un ami

Numéro d'article: 9859799

XOF 17591

Détails du prix

Hors frais de livraison et de douane ( Les frais de livraison et de douane seront calculés lors du paiement )

*Tous les articles seront importés depuis États-Unis

En stock
États-Unis Importé depuis la boutique USA

QTY:

Commandez maintenant et recevez votre commande aux alentours du Samedi, Octobre 10
Transaction sécuriséeTransaction sécurisée

Ubuy s'engage à protéger votre sécurité et votre confidentialité. Notre système avancé de sécurité des paiements garantit la confidentialité en chiffrant vos informations lors de la transmission grâce aux protocoles AES (Advanced Encryption Standards) et SSL (Secure Socket Layer). Vos coordonnées de paiement sont 100 % sécurisées car nous ne partageons pas vos informations de paiement avec des vendeurs tiers.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Covers a broad spectrum of the most important, basic numerical and analytical techniques used in physics, including ordinary and partial differential equations, linear algebra, Fourier transforms, integration, and probability.
Garantie U-Care :
Aucun
Sélectionnez un forfait
fast shipping

Livraison
rapide

free return

Retour
gratuit*

Emballage sécurisé

Emballage sécurisé

Produits 100 % originaux

Produits 100 % originaux

pci-dss

Conformité PCI DSS

iso certified

Certifié ISO 27001

paypal payment
visa payment
mastercard payment
Note: Step Down Voltage Transformer required for using electronics products of États-Unis store (110-120). Recommended power converters Acheter maintenant.

Ce qui se démarque

Revised Content
Offers updated numerical methods and modern applications in physics, enhancing comprehension with revised exercises and examples that reflect current trends and technologies.
Python Integration
Seamlessly integrates Python programming to solve complex physics problems, equipping readers with practical coding skills and tools essential for simulations and data analysis.
Comprehensive Approach
Covers a wide range of topics, ensuring a holistic understanding of numerical methods while addressing common challenges faced by physics students and professionals.

Détails du produit

Shop online for Numerical Methods for Physics Python Paperback at Ubuy Benin. Get the best deals and offers on this book. Order now!
Publisher CreateSpace Independent Publishing Platform
Publication date July 12, 2017
Edition Second, Revised (Python)
Language English
Print length 350 pages
ISBN-10 1548865494
ISBN-13 978-1548865498
Item Weight 1.72 pounds (780 grams)
Dimensions 8 x 0.79 x 10 inches (20.3 x 2 x 25.4 cm)

À qui est-ce destiné ?

Suitable For
  • Physics Students

    Ideal for undergraduate or graduate students studying physics, as it covers essential numerical methods using Python.

  • Self-learners

    Great resource for individuals looking to independently learn numerical methods and Python for practical applications.

  • Educators

    Useful for professors and teachers seeking comprehensive teaching materials on numerical methods in physics with hands-on coding.

Not Suitable For
  • Complete Beginners

    Not suitable for users with no prior programming or mathematical background, as it assumes some knowledge.

DESCRIPTION DU PRODUIT

Numerical Methods for Physics (Python)

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What are the main topics covered in 'Numerical Methods for Physics Python Second, Revised Python Edition'?

    répondre: This book covers a wide range of topics essential for solving various problems in physics using numerical methods. Key areas include root finding, interpolation, numerical integration, and solving ordinary differential equations. Detailed explanations and Python implementations accompany each method, making it suitable for both beginners and advanced learners. For instance, students may apply these techniques to model physical systems or analyze experimental data, enhancing their understanding and practical skills in computational physics.
  • question: Who is the intended audience for this book?

    répondre: The intended audience for 'Numerical Methods for Physics Python Second, Revised Python Edition' includes undergraduate and graduate students in physics or related fields, as well as researchers looking to enhance their computational skills. The text is tailored to those who wish to apply Python programming to solve real-world physics problems. Regardless of whether readers are new to numerical methods or seeking to deepen their knowledge, this book provides a comprehensive resource for practical learning.
  • question: What programming skills are required to understand this book?

    répondre: While 'Numerical Methods for Physics Python Second, Revised Python Edition' is designed for a range of skill levels, a foundational understanding of Python programming is beneficial. Readers should be familiar with basic programming concepts such as variables, loops, and functions. However, the book includes explanations and code snippets that guide learners through each numerical method. This makes it a great resource for those looking to introduce programming into their physics studies, bridging the gap between theory and computational practice.
  • question: Does the book include practical examples or exercises?

    répondre: Yes, the book is rich in practical examples and exercises that encourage hands-on learning. Each chapter typically concludes with problems that challenge readers to apply the numerical methods discussed. These exercises help solidify concepts and are particularly useful for students working on projects or those who wish to practice their coding skills. For instance, a student might solve a complex physics simulation project by applying the learned numerical techniques, reinforcing their understanding through real applications.
  • question: Is this book suitable for self-study?

    répondre: Absolutely! 'Numerical Methods for Physics Python Second, Revised Python Edition' is well-structured for self-study, featuring clear explanations and examples that allow learners to progress at their own pace. Each chapter builds upon the previous one, providing a cohesive learning experience. Self-learners can easily follow along with the Python programming exercises, making it an excellent choice for independent study or supplementary material for academic courses.
  • question: How does this book compare to other numerical methods texts?

    répondre: Compared to other numerical methods texts, 'Numerical Methods for Physics Python Second, Revised Python Edition' stands out due to its focus on Python as a programming tool. While many texts cover similar mathematical concepts, this book emphasizes practical application through coding. The integration of Python makes it accessible for modern learners who value computational approaches in physics. Additionally, its clear explanations and thorough examples set it apart, making it both informative and user-friendly.
  • question: Can this book help with computational physics research?

    répondre: Yes, it can significantly aid in computational physics research by providing essential numerical techniques used in modeling and simulation. Researchers can use the methods discussed to analyze experiments, perform simulations, and develop models of physical phenomena. The Python codes serve as a practical reference, allowing researchers to adapt the examples to their specific needs. This book equips researchers with the tools necessary to tackle advanced problems in computational physics effectively.
  • question: What edition is this book, and what are the improvements from previous editions?

    répondre: This is the second, revised edition of 'Numerical Methods for Physics Python'. The updates include enhanced explanations, new examples, and improved clarity in presenting complex concepts. Feedback from users of the first edition informed revisions, making this edition more accessible and easier to follow. New topics may also be incorporated, addressing advancements in Python as a programming language, ensuring that readers learn the most current approaches in computational physics.
  • question: What is the level of mathematical background needed for this book?

    répondre: A solid understanding of calculus and basic linear algebra is recommended for readers of 'Numerical Methods for Physics Python Second, Revised Python Edition'. Familiarity with these mathematical concepts is crucial as the numerical methods often rely on them for formulation and understanding. However, the book offers explanations that bridge the gap, making it approachable for a wide range of readers. Advanced students can benefit from refreshing their mathematical knowledge in the context of computational applications.
  • question: Where can I buy 'Numerical Methods for Physics Python Second, Revised Python Edition' in Benin?

    répondre: You can purchase 'Numerical Methods for Physics Python Second, Revised Python Edition' on Ubuy, a reliable online retailer that offers various products, including books. Ubuy provides a user-friendly platform to find your desired title with multiple purchasing options in Benin. They ensure a seamless shopping experience, making it easy for you to access this valuable resource for your studies.

Mathematical Physics Editorial Review

Aucune critique éditoriale trouvée

Avis et évaluations clients

1 évaluations des clients
  • 5 étoile
    100%
  • 4 étoile
    0%
  • 3 étoile
    0%
  • 2 étoile
    0%
  • 1 étoile
    0%

Donnez votre avis sur ce produit

Partagez votre avis avec d'autres clients

CONFIANCE EN LA PLATEFORME & PROTECTION DE L'ACHETEUR

trustpilot logo
4.2/5 9477 avis
Lire les avis
JK
Jasmin
Acheteur vérifié

“Great products and very good service: very easy and very fast international delivery.”

9 September 2026 · via Trustpilot
AG
Anke
Acheteur vérifié

“Wonderful online shopping experience, smooth transaction from the start. Payment method works conveniently and delivery is unexpectedly fast and reliable. You go the extra mile for service. What makes this even more amazing, you deliver to Namibia. I will remain a happy Ubuy customer and will increase my purchases for sure! Thank you!”

10 September 2026 · via Trustpilot
H
Hazel
Acheteur vérifié

“Very easy to find the products what you need, and so fast delivery, that’s why I highly recommended to others costumers to used ubuy.”

10 September 2026 · via Trustpilot
O
Opaleye
Acheteur vérifié

“I received exactly what I ordered I was skeptical about your site because that was my first time to order. But the order came timely and neatly packaged. I was not disappointed. Thank you.”

11 September 2026 · via Trustpilot
AC
Adele
Acheteur vérifié

“Easy to find and order what you want on the website. Delivery is quick to the UK”

8 September 2026 · via Trustpilot
Paiement sécurisé Global Delivery Retours faciles Genuine Products

Historique des prix du produit

Informations importantes

  • Limitations : Pour les produits expédiés à l'international, veuillez noter que toute garantie du fabricant peut ne pas être valide ; les options de service du fabricant peuvent ne pas être disponibles ; les manuels, instructions et avertissements de sécurité des produits peuvent ne pas être dans les langues du pays de destination ; les produits (et les matériaux qui les accompagnent) peuvent ne pas être conçus conformément aux normes, spécifications et exigences d'étiquetage du pays de destination ; et les produits peuvent ne pas être conformes à la tension et aux autres normes électriques du pays de destination (nécessitant l'utilisation d'un adaptateur ou d'un convertisseur le cas échéant). Il incombe au destinataire de s'assurer que le produit peut être importé légalement dans le pays de destination. En cas de commande auprès d'Ubuy ou de ses filiales, le destinataire est l'importateur officiel et doit se conformer à toutes les lois et réglementations du pays de destination.
  • Tous les produits listés sur Ubuy ne sont pas à vendre, Ubuy étant un moteur de recherche mondial. Les produits sont soumis aux réglementations en matière d'exportation et de commerce.

XOF 17591

Commandez maintenant et recevez votre commande aux alentours du Samedi, Octobre 10

QTY:

Transaction sécuriséeTransaction sécurisée

Conforme PCI DSS et certifié ISO 27001:2022, avec des paiements chiffrés et une protection complète de l'acheteur pour chaque commande.

Nos meilleurs partenaires logistiques
  • fedex
  • dhl
Livraison transfrontalière la plus rapide

Caractéristiques et avantages

  • Comprehensive coverage of essential numerical and analytical techniques in physics
  • Utilizes Python with additional Matlab, C++, and FORTRAN versions available online
  • Includes topics such as ordinary and partial differential equations, linear algebra, Fourier transforms, integration, and probability

Assurance Ubuy

Profitez d'une expérience d'achat sereine avec des produits 100 % originaux, une sécurité de paiement conforme PCI DSS, une protection des données certifiée ISO 27001, la livraison transfrontalière la plus rapide, les retours gratuits* et un emballage sécurisé pour chaque commande.