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- Learning Scientific Programming with Python
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Προϊόν #:
26270763
Learning Scientific Programming with Python
83% of respondents would recommend this to a friend
Προϊόν #:
26270763
€ 151
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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
Hands-On Learning
Engage in practical projects that reinforce programming concepts, making the learning process interactive and effective for beginners and advanced learners alike.
Comprehensive Resources
Access a wealth of materials, including exercises, examples, and expert insights, to deepen your understanding and enhance your programming skills in scientific applications.
Real-World Applications
Apply Python programming to real scientific problems, bridging the gap between theory and practice, and preparing users for challenges in academic and research settings.
Λεπτομέρειες προιόντος
| 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.
ΠΕΡΙΓΡΑΦΗ ΤΟΥ ΠΡΟΪΟΝΤΟΣ
Learning Scientific Programming with Python
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Ερωτήσεις & Απαντήσεις Πελατών
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ερώτηση:
Who is this textbook suitable for?
απάντηση: This textbook is suitable for students and researchers at all levels who want to gain proficiency in Python programming. -
ερώτηση:
What topics does this textbook cover?
απάντηση: This textbook covers general programming concepts, numerical programming, data visualization, and challenging topics like floating-point precision and algorithm stability. -
ερώτηση:
Are there any online resources accompanying this textbook?
απάντηση: Yes, there are extensive online resources available to support advanced study. -
ερώτηση:
Is this book suitable for someone with no previous programming experience?
απάντηση: Yes, the book covers the essentials of the Python language and provides examples and exercises for hands-on practice. -
ερώτηση:
Does this book cover machine learning and neural networks?
απάντηση: No, this book focuses on scientific programming and does not cover machine learning and neural networks.
Introductory & Beginning Editorial Review
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Χαρακτηριστικά & Πλεονεκτήματα
- 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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