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Learning Scientific Programming with Python
83% of respondents would recommend this to a friend
NZD 295
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Learn to master basic programming tasks from scratch with real-life scientifically relevant examples and solutions drawn from both science and engineering.
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What Stands Out
Product Details
| Publisher | Cambridge University Press |
| Publication date | March 29, 2016 |
| Edition | 1st |
| Language | English |
| Print length | 458 pages |
| ISBN-10 | 110742822X |
| ISBN-13 | 978-1107428225 |
| Item Weight | 1.98 pounds (900 grams) |
| Dimensions | 6.85 x 1.04 x 9.72 inches (17.4 x 2.6 x 24.7 cm) |
Who Should Buy?
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Beginner Programmers
Ideal for those new to programming, providing foundational concepts and practical applications in scientific contexts.
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STEM Students
Suitable for students in science, technology, engineering, and mathematics looking to enhance their programming skills with Python.
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Self-learners
Great for individuals pursuing self-study in coding who prefer structured learning with hands-on projects and examples.
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Advanced Developers
Not suitable for experienced programmers seeking advanced techniques or deep knowledge beyond the basics of Python.
Product Description
Learning Scientific Programming with Python
Product Buying Guide
This comprehensive textbook is designed for students and researchers at all levels who want to master basic programming tasks using the Python programming language. In this guide, we will provide you with detailed product specifications, key features and benefits, usage scenarios, a comparison with competitors, user reviews, price analysis, and buying considerations. Let's dive in!
Product Specifications
- Title: Learning Scientific Programming with Python 1st Edition
- Language: English
- Format: Paperback
- Publisher: Cambridge University Press
- Publication Date: First Edition
- ISBN-10: (provided in attachment)
Key Features
- Covers basic programming concepts of Python 3 language
- Includes examples and solutions relevant to science and engineering
- Introduces NumPy, SciPy, and Matplotlib libraries for numerical programming and data visualization
- Discusses using IPython notebooks for scientific analysis
- Provides a chapter on challenging topics like floating-point precision and algorithm stability
- Includes extensive online resources for advanced study
Usage Scenarios
- Ideal for students and researchers who want to learn Python programming for scientific tasks
- Suitable for beginners as well as those with some prior programming experience
- Can be used as a textbook for Python programming courses in science and engineering disciplines
Usage Scenarios
- Python for Scientists and Engineers
- Python Programming for the Absolute Beginner
- Scientific Programming and Simulation Using Python
Some User Review
- This book provided a great introduction to scientific programming with Python. The examples were clearly explained and relevant to my field of study.
- I found the chapter on using IPython notebooks particularly helpful for my research projects. It made data analysis tasks much easier.
- The online resources accompanying the book were a valuable addition. They provided further explanations and exercises for practice.
Competitors
- The price of the book may vary depending on the retailer and any ongoing promotions. It is recommended to compare prices from multiple sources before making a purchase.
- Consider checking online marketplaces, local bookstores, and university libraries for potential discounts or used copies.
Buying Considerations
- Consider your level of programming experience. This book is suitable for beginners but also covers advanced topics, so make sure it aligns with your current skill level.
- Evaluate the relevance of the examples and solutions provided. Ensure they align with your field of study or research interests.
- Take advantage of the online resources. They can further enhance your learning experience and provide additional materials for advanced study.
- Consider the format preference. This book is available in paperback format.
- Compare prices from different retailers to find the best deal. Keep an eye out for any ongoing promotions or discounts.
Conclusion
Learning Scientific Programming with Python 1st Edition is a comprehensive textbook that caters to students and researchers at all levels who want to master programming tasks in the scientific domain. With its real-life examples, inclusion of essential libraries, and focus on scientific analysis using Python, this book provides a solid foundation for anyone interested in utilizing Python for scientific programming. Consider your programming experience, field of study, and available resources when making a purchase. Happy learning!
View LessThis comprehensive textbook is designed for students and researchers at all levels who want to master basic programming tasks using the Python programming language. In this guide, we will provide you with detailed product specifications, key features and benefits, usage scenarios, a comparison with competitors, user reviews, price analysis, and buying considerations. Let's dive in! Continue Reading
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Introductory & Beginning Editorial Review
Learning Scientific Programming with Python 1st Edition is a highly recommended resource for individuals in the sciences who want to learn Python in the context of scientific applications. The book teaches the essentials of the Python language and covers key libraries such as Numpy, Matplotlib, and SciPy. It provides plenty of examples and exercises, and includes solutions for the exercises. The book is not comprehensive in terms of all possible uses for Python, but it is complete in its coverage of scientific programming. The choice of examples and problems is outstanding and the price is reasonable.
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Pros
- Teaches the essentials of Python, including key libraries
- Plenty of examples and exercises with solutions
- Focuses on the application of Python to scientific programming
- Reasonably priced
Cons
- Not comprehensive in terms of all uses for Python
Product Price History
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NZD 295
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Features & Benefits
- Master basic programming tasks from scratch.
- Real-life scientifically relevant examples and solutions.
- Suitable for students and researchers at all levels.
- Introduction to Python programming and advanced concepts in one complete volume.
- Discusses numerical programming and data visualization with libraries like NumPy, SciPy, and Matplotlib.
- Includes a chapter on challenging topics like floating-point precision and algorithm stability.
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