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Reference - Object-oriented Programming in Python for Mathematicians

Description

Book Synopsis: This book is for mathematicians, scientists, and engineers who have learned the very basics of programming in Python, and who would like to become more capable programmers. You will learn the higher level programming concepts such as objects, inheritance, and abstract data types needed to elegantly create more advanced programs. At the same time, emphasis is placed on programming skills such as good style, so you learn to write code that you and others find easy to understand, and interpreting and debugging errors. If you find yourself baffled by the pages of error messages that Python emits, and would like to make sense of them, then this book is for you. Learning the material is supported by explanatory videos throughout and skeleton codes for all of the exercises, including automated tests of your work. The book takes a mathematician's view of programming, introducing higher level programming abstractions by analogy with the abstract objects that make up higher mathematics. Examples and exercises are chosen from across mathematics, though the actual mathematical knowledge required to understand this book is limited to differentiating functions of one variable.

Contents

  • Introduction: abstraction in mathematics and programming
  • Programs in files
  • Objects and abstraction
  • A matter of style
  • Abstract data types
  • Errors and exceptions
  • Inheritance and composition
  • Debugging and testing
  • Trees and directed acyclic graphs
  • Further object-oriented features

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Details

Are you a mathematician, scientist, or engineer looking to take your Python programming skills to the next level? Look no further! Our "Object-oriented Programming in Python for Mathematicians" book is specifically crafted for individuals like you who want to become more proficient programmers. Learn essential concepts such as objects, inheritance, and abstract data types to create sophisticated programs with ease. Master the art of writing clear and concise code that is easy to interpret and debug, ensuring a seamless programming experience. Don't let daunting error messages hinder your progress - empower yourself with the knowledge to decipher and resolve them effectively.

Enhance your learning journey with our comprehensive resource that includes explanatory videos and skeleton codes for all exercises, complete with automated tests to validate your solutions. Gain a mathematician's perspective on programming as you explore higher level programming abstractions through the lens of abstract mathematical objects. With examples and exercises drawn from various mathematical fields, this book offers a practical approach to advancing your programming skills without the need for extensive mathematical background knowledge. Embrace the power of abstraction in both mathematics and programming with our insightful guide.

Take the first step towards mastering object-oriented programming in Python and elevate your programming expertise to new heights. Whether you are seeking to create more elegant and efficient programs or enhance your problem-solving capabilities, this book is your essential companion on this transformative journey. Strengthen your programming foundation and unlock a world of possibilities in the realm of mathematics and beyond. Are you ready to embark on this exciting learning adventure?

Explore our "Object-oriented Programming in Python for Mathematicians" book now!

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