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Artikelnr.:
72498312
Scientific Computation: Python Hacking for Math Junkies (Paperback)
Artikelnr.:
72498312
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If you like math and want to use computers to do math or solve mathematical problems, then this book is for you.
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Besondere Merkmale
Hands-on Approach
Empowers readers with practical coding exercises that enhance mathematical problem-solving skills, making complex scientific concepts accessible and engaging.
Python Integration
Utilizes Python to provide readers with essential tools for scientific computation, ensuring they can tackle real-world problems effectively and efficiently.
Comprehensive Coverage
Thoroughly covers diverse mathematical topics, appealing to math enthusiasts by bridging the gap between theoretical knowledge and practical application!
Produktdetails
- Covers Python 3.6 with over 80 additional pages on Python classes, iPython with jupyter notebooks, magic functions, random numbers, and probability and statistics
- Focused on programming in the iPython notebook with emphasis on math and scientific computing
- Revised and corrected version 3.0.3 (2017) with an introduction to programming, Python language tour, and applications including machine learning topics
- Includes over 300 problems for student programming projects, suitable for those with no programming background but with basic understanding of math through calculus
- Suitable for individuals interested in using computers to solve mathematical problems and those with a penchant for math
- Part III covers applications such as probability and statistics, machine learning topics, image analysis, discrete systems, fractals, geographic maps, and satellite orbit analysis
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | January, 2015 |
| Pages | 556 |
| Subgenre | Computers |
| Number in series | 1 |
| Edition | 3 |
| Publisher | Sherwood Forest Books |
| Original languages | English |
| Language | English |
| Edu focus | Mathematics |
| Educational level | College |
| Assembled product dimensions (l x w x h) | 9.00 x 6.00 x 1.50 in (22.9 x 15.2 x 3.8 cm) |
| Assembled product weight | 1 lb (450 grams) |
| Bisac subject heading | Computers, Mathematics |
Für wen ist das Produkt geeignet?
-
Math Enthusiasts
Ideal for those passionate about mathematics and seeking practical applications using Python for problem-solving.
-
Students and Learners
Great for students involved in math courses needing supplementary material to enhance their programming and computational skills.
-
Data Analysts
Useful for data analysts wanting to improve their computational abilities and use Python for data-driven mathematics.
-
Programming Beginners
Not suitable for those without prior Python knowledge, as it assumes familiarity with the programming language.
PRODUKTBESCHREIBUNG
Scientific Computation: Python Hacking for Math Junkies (Paperback)
About This Item
Unlock the power of Python and revolutionize your mathematical computations with Scientific Computation: Python Hacking for Math Junkies. This comprehensive and user-friendly paperback guide is essential for anyone looking to dive deep into the world of scientific computation. Python Hacking for Math Junkies offers a hands-on approach to learning Python, making it perfect for beginners and experienced programmers alike. With its clear and concise explanations, this book will quickly have you mastering Python's syntax and powerful mathematical libraries. Whether you're a student, researcher, or math enthusiast, this book will equip you with the necessary tools and knowledge to tackle complex computations with ease.
From basic arithmetic operations to advanced topics such as numerical analysis and simulations, you'll gain a deep understanding of how Python can enhance your mathematical prowess. But Scientific Computation: Python Hacking for Math Junkies goes beyond just theoretical concepts. It provides practical examples and exercises that allow you to apply your newfound knowledge in real-world scenarios. You'll learn how to create your own Python hacking tools and unleash the full potential of Python's scientific computing libraries. Designed with the needs of math junkies in mind, this paperback book is easy to carry and reference whenever you need it.
Its comprehensive index and clear chapter organization make it easy to find the information you're looking for, whether you're exploring specific mathematical concepts or brushing up on Python syntax. So why wait? Join the growing community of Python enthusiasts and revolutionize your mathematical computations with Scientific Computation: Python Hacking for Math Junkies. Dive into the world of Python programming and unlock a whole new realm of mathematical possibilities.
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Kundenfragen und -antworten
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Frage:
Is prior programming knowledge necessary to use this book?
Antworten: No, no programming background is required. -
Frage:
What mathematical understanding is expected?
Antworten: A basic understanding of math through calculus is expected for the applications. -
Frage:
What topics are covered in this book?
Antworten: The book covers Python programming, probability, statistics, machine learning, and more.
Bruce E Shapiro All Books Editorial Review
Scientific Computation: Python Hacking for Math Junkies (Paperback) is an enlightening guide designed for math enthusiasts eager to merge their passion for mathematics with programming skills. This non-fiction book, published in January 2015, features 556 pages of content that covers the realm of computing and internet implications in mathematics. The book's educational focus is targeted at college-level learners, providing insights into how Python can be harnessed for computational tasks. Readers will appreciate the thoroughness of the material, making it a valuable resource for understanding complex mathematical concepts through practical coding examples.
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Vorteile
- Engaging content for mathematics enthusiasts
- Comprehensive guide on Python programming
- High-quality paperback format
- Educator-friendly for college-level courses
- Explores computing applications in math
Nachteile
- May require basic programming knowledge
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Merkmale und Vorteile
- Designed for math enthusiasts interested in scientific computing.
- Includes extensive updates covering Python 3.6 features.
- Emphasizes programming in iPython notebooks.
- Covers a wide range of topics from basic Python to advanced applications.
- Features over 300 programming problems for practical experience.
- No prior programming knowledge required, but a basic understanding of calculus recommended.
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