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157455357
A Students Guide to Python for Physical Modeling: Updated Edition Updated Edition
88% of respondents would recommend this to a friend
Nº de artículo:
157455357
UYU 1448
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What Stands Out
Comprehensive Coverage
This guide provides thorough coverage of Python programming specifically tailored for physical modeling, ensuring students grasp both concepts and practical applications in real-world scenarios.
Updated Content
The updated edition includes the latest Python features and best practices, offering students current tools and methodologies to effectively solve complex physical modeling challenges.
Student-Focused Approach
Designed with students in mind, this guide emphasizes clear explanations, practical examples, and exercises, facilitating a smooth learning curve for beginners and enhancing problem-solving skills.
Detalles de producto
| Publisher | Princeton University Press |
| Publication date | January 30, 2018 |
| Edition | Updated |
| Language | English |
| Print length | 168 pages |
| ISBN-10 | 0691180571 |
| ISBN-13 | 978-0691180571 |
| Item Weight | 15 ounces (425.25 grams) |
| Dimensions | 8 x 0.5 x 10 inches (20.3 x 1.3 x 25.4 cm) |
Who Should Buy?
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Physics Students
Ideal for students learning physics concepts and seeking to implement those ideas through programming with Python.
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Aspiring Programmers
Great for beginners wanting to develop programming skills while applying them to real-world physical modeling scenarios.
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Educators
Useful for teachers looking for practical resources to introduce Python in physics courses and enhance student engagement.
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Advanced Developers
Not suitable for experienced programmers seeking advanced Python techniques or higher-level programming methodologies.
DESCRIPCIÓN DEL PRODUCTO
A Students Guide to Python for Physical Modeling: Updated Edition Updated Edition
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Python Editorial Review
**** "A Student's Guide to Python for Physical Modeling: Updated Edition" has garnered a generally positive reception among its readers, particularly those who are either new to Python or looking to get a quick, practical start in programming for scientific purposes. Customers appreciate its succinct and clear writing style, which aids in making complex concepts accessible. The book is noted for its effective use of contemporary Python packages, including Anaconda and Enthought Canopy, and focuses on essential libraries such as numpy and matplotlib. Reviewers mention that the book serves well for both beginners and those with some programming experience, with many expressing confidence that they will not only complete the book but also refer back to it in the future. The structured approach—combining theoretical content with practical labs—resonates well with learners, enhancing the overall educational experience. While the book features strengths in clarity and ease of understanding, some critics felt it lacked depth, particularly when compared to other texts like Mark Newman’s "Computational Physics." They noted that it tends to provide only light coverage of various topics essential for developing robust computational modeling skills in Python. However, for those in a high school setting or individuals seeking a quick overview, this guide stands out as a practical choice. Overall, readers appreciate the blend of theory and hands-on practice, the affordable price point, and the engaging layout, making it a strong recommendation for self-study or classroom use. **
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ventajas
- Clear and engaging writing style
- Suitable for beginners and intermediate programmers
- Effective integration of modern Python packages
- Well-structured with practical labs and exercises
- Affordable price point
- Engaging design
Contras
- Lacks depth on certain topics compared to more comprehensive texts
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