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34827090
Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas, 2nd Edition
88% of respondents would recommend this to a friend
Item #:
34827090
BDT 7761
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This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.
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What Stands Out
High-Performance Libraries
Leverages NumPy, SciPy, and Pandas for efficient numerical computations, enabling users to perform complex scientific calculations rapidly and reliably.
Comprehensive Updates
This second edition includes the latest advancements in Python libraries, ensuring learners are equipped with current tools and techniques for modern scientific computing.
User-Friendly Approach
Designed for both beginners and experienced users, this book simplifies complex concepts, making high-performance scientific computing accessible to a broader audience.
Product Details
- Second edition of the book 'Scientific Computing with Python'
- Covers high-performance scientific computing using NumPy, SciPy, and pandas libraries
- Provides comprehensive knowledge on applying Python for scientific computing
- Updated edition that incorporates the latest advancements and techniques
- Includes practical examples and exercises to enhance understanding
- Suitable for individuals interested in scientific computing and Python programming
| Publisher | Packt Publishing |
| Publication date | July 23, 2021 |
| Edition | 2nd ed. |
| Language | English |
| Print length | 392 pages |
| ISBN-10 | 1838822321 |
| ISBN-13 | 978-1838822323 |
| Item Weight | 1.48 pounds (670 grams) |
| Dimensions | 7.5 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm) |
Who Should Buy?
-
Data Scientists
Ideal for data scientists looking to leverage Python libraries for data analysis and scientific computing.
-
Researchers
Beneficial for researchers needing efficient solutions for complex calculations and data manipulation in scientific studies.
-
Students
Great for students pursuing coursework in data science, scientific computing, or Python programming.
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Beginners in Python
Not suited for absolute beginners as it assumes prior knowledge of programming and Python.
Product Description
Scientific Computing with Python: High-performance scientific computing with NumPy, SciPy, and pandas, 2nd Edition
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Data Modeling & Design Editorial Review
The "Scientific Computing with Python" book is an excellent resource for learning the basics of scientific programming using Python, with plenty of examples to guide readers. It provides a broad and easy-to-understand introduction to the topic, making it highly recommended for anyone interested in building their intuition for problem solving using Python. That said, the book may be a bit too "light" for more experienced practitioners, but it could still be a quick read or refresher. This book could have been more useful if it had a comprehensive index and a handy appendix of basic commands for quick reference. Overall, the book is still an excellent resource for those looking to learn the fundamentals of scientific computing with Python.
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Pros
- Excellent resource for learning basics of scientific programming with Python
- Broad and easy-to-understand introduction to the topic
- Helpful examples throughout
Cons
- Minimal and useless index
Product Price History
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Features & Benefits
- New chapters included on graphical user interfaces, efficient data processing, and parallel computing
- Learn through examples and code snippets in scientific computing
- Explore Python alongside mathematical applications
- Learn to use pandas for basic data analysis
- Discover numerical computation modules such as NumPy and SciPy
- Understand task automation and implementing mathematical algorithms in scientific computing
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