Title
Learning Scientific Programming With Python
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Learn To Master Basic Programming Tasks From Scratch With Reallife Scientifically Relevant Examples And Solutions Drawn From Both Science And Engineering. Students And Researchers At All Levels Are Increasingly Turning To The Powerful Python Programming Language As An Alternative To Commercial Packages And This Fastpaced Introduction Moves From The Basics To Advanced Concepts In One Complete Volume, Enabling Readers To Quickly Gain Proficiency. Beginning With General Programming Concepts Such As Loops And Functions Within The Core Python 3 Language, And Moving Onto The Numpy, Scipy And Matplotlib Libraries For Numerical Programming And Data Visualisation, This Textbook Also Discusses The Use Of Ipython Notebooks To Build Richmedia, Shareable Documents For Scientific Analysis. Including A Final Chapter Introducing Challenging Topics Such As Floatingpoint Precision And Algorithm Stability, And With Extensive Online Resources To Support Advanced Study, This Textbook Represents A Targeted Package For Students Requiring A Solid Foundation In Python Programming.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the page count of this book? A: This book contains four hundred fifty-eight pages. It provides a comprehensive guide to learning scientific programming with Python.
- Q: What are the dimensions of the book? A: The book measures six point eight five inches in length, one point zero four inches in width, and nine point seven two inches in height. These dimensions make it portable for students.
- Q: What type of binding does this book have? A: This book is paperback bound. This makes it lightweight and flexible for easy handling.
- Q: What is the reading level of this book? A: This textbook is suitable for beginners and intermediate learners. It is designed for students and researchers at all levels.
- Q: How can I apply the concepts learned in this book? A: You can use the programming skills gained from this book in scientific analysis and engineering projects. The examples provided are grounded in real-life applications.
- Q: Is this book suitable for self-study? A: Yes, this book is ideal for self-study. It includes extensive online resources to support learners in mastering Python programming.
- Q: How should I store this book? A: Store this book in a cool, dry place to prevent damage. Keeping it upright on a shelf will help maintain its shape.
- Q: What precautions should I take to ensure its longevity? A: Avoid exposing the book to direct sunlight and moisture. Handle it with clean hands to prevent dirt and oils from damaging the pages.
- Q: Is there a warranty or return policy for this book? A: Typically, there is a return policy for books if they are unopened. Check with the retailer for specific warranty details.
- Q: What if the book arrives damaged? A: If the book arrives damaged, contact the retailer for assistance. Most retailers have policies in place for returns and exchanges.
- Q: Can I use this book for a programming course? A: Yes, this book is suitable for programming courses. It covers essential topics in Python programming comprehensively.
- Q: Is there a focus on practical applications in this book? A: Yes, the book emphasizes practical applications of programming concepts. It includes examples from both science and engineering.
- Q: What programming libraries does this book cover? A: This book covers the NumPy, SciPy, and Matplotlib libraries. These are essential for numerical programming and data visualization.
- Q: Will this book help me with advanced programming topics? A: Yes, the final chapter introduces advanced topics like floating-point precision and algorithm stability. This will benefit learners looking to deepen their understanding.
- Q: Is this book suitable for someone with no programming experience? A: Yes, beginners will find this book accessible. It starts from basic programming tasks and gradually progresses to advanced concepts.