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72498312
Scientific Computation: Python Hacking for Math Junkies (Paperback)
Item #:
72498312
OMR 16
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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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What Stands Out
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!
Product Details
- 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 |
Who Should Buy?
-
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.
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Programming Beginners
Not suitable for those without prior Python knowledge, as it assumes familiarity with the programming language.
Product Description
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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Product Buying Guide
Scientific Computation: Python Hacking for Math Junkies Paperback is a comprehensive guide for math enthusiasts who want to use computers to solve mathematical problems. This book is designed to help readers develop their programming skills in Python, particularly in the field of scientific computing.
Product Specifications
- ISBN: 978-1725894662
- Edition: 3rd
- Year: 2017
- Pages: 300+ (includes 80 additional pages in version 3.0.3)
- Topics: Python programming, mathematical hacking, scientific computing
- Includes: iPython notebooks, Numpy, pyplot, probability and statistics, machine learning, image analysis, solving initial value problems, fractals, and more
- No programming background required, basic understanding of math up to calculus expected
Key Features
- Extensive coverage of Python programming and scientific computing
- Focus on using iPython notebooks for programming
- Includes over 300 problems for programming projects
- Suitable for readers with no programming background
- Covers various topics including probability, machine learning, image analysis, and more
Usage Scenarios
- Students studying math or computer science who want to enhance their programming skills
- Professionals in the field of scientific computing who want to learn Python for mathematical hacking
- Researchers or scientists who need to use computers for solving mathematical problems
- Math enthusiasts who want to explore the practical applications of mathematics through programming
Usage Scenarios
- 1. 'Scientific Computing with Python (Second Edition)' by Claus Führer, Jan Erik Solem, Olivier Verdier
- 2. 'Numerical Methods in Engineering with Python 3' by Jaan Kiusalaas
- 3. 'Python for Data Analysis' by Wes McKinney
Some User Review
- The book provides a great introduction to Python programming for math-related tasks. The examples and exercises are helpful in reinforcing the concepts.
- I found the emphasis on using iPython notebooks very useful as it allows for interactive programming and easy visualization of mathematical concepts.
- The applications section of the book covers a wide range of topics, making it a valuable resource for anyone interested in scientific computing.
- The book is well-structured and easy to follow, even for beginners with no programming background. Highly recommended!
Competitors
- The price of Scientific Computation: Python Hacking for Math Junkies Paperback is competitive compared to similar books in the market.
- Considering the extensive content and additional pages in the latest edition, the book offers great value for the price.
Buying Considerations
- Make sure to check for the latest edition (ISBN 978-1725894662) which covers Python 3.6.
- Consider your level of programming experience and math background when choosing this book.
- Evaluate your specific needs in scientific computing and ensure the book covers relevant topics.
- Check for any additional resources or online support that may be available for better learning experience.
Conclusion
Scientific Computation: Python Hacking for Math Junkies Paperback is a must-have guide for individuals interested in using Python for mathematical hacking and scientific computing. With its comprehensive coverage, emphasis on iPython notebooks, and wide range of applications, this book provides an excellent resource for both beginners and experienced programmers alike.
View LessScientific Computation: Python Hacking for Math Junkies Paperback is a comprehensive guide for math enthusiasts who want to use computers to solve mathematical problems. This book is designed to help readers develop their programming skills in Python, particularly in the field of scientific computing. Continue Reading
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Features & Benefits
- 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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