Object Oriented Programming In Python For Mathematicians

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Object-Oriented Programming in Python for Mathematicians

Author : David Ham
Publisher :
ISBN 13 :
Total Pages : 202 pages
Book Rating : 4.7/5 (758 download)

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Book Synopsis Object-Oriented Programming in Python for Mathematicians by : David Ham

Download or read book Object-Oriented Programming in Python for Mathematicians written by David Ham and published by . This book was released on 2021-12-16 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Mathematics for the Digital Age and Programming in Python

Author : Maria Litvin
Publisher : Skylight Pub
ISBN 13 : 9780972705585
Total Pages : 320 pages
Book Rating : 4.7/5 (55 download)

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Book Synopsis Mathematics for the Digital Age and Programming in Python by : Maria Litvin

Download or read book Mathematics for the Digital Age and Programming in Python written by Maria Litvin and published by Skylight Pub. This book was released on 2008-01-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scripting language, Python, and the mathematics involved in its use.

Introduction to Scientific Programming with Python

Author : Joakim Sundnes
Publisher :
ISBN 13 : 3030503569
Total Pages : 157 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Introduction to Scientific Programming with Python by : Joakim Sundnes

Download or read book Introduction to Scientific Programming with Python written by Joakim Sundnes and published by . This book was released on 2020 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

A Primer on Scientific Programming with Python

Author : Hans Petter Langtangen
Publisher : Springer
ISBN 13 : 3662498871
Total Pages : 942 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis A Primer on Scientific Programming with Python by : Hans Petter Langtangen

Download or read book A Primer on Scientific Programming with Python written by Hans Petter Langtangen and published by Springer. This book was released on 2016-07-28 with total page 942 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015

Doing Math with Python

Author : Amit Saha
Publisher : No Starch Press
ISBN 13 : 1593277199
Total Pages : 265 pages
Book Rating : 4.5/5 (932 download)

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Book Synopsis Doing Math with Python by : Amit Saha

Download or read book Doing Math with Python written by Amit Saha and published by No Starch Press. This book was released on 2015-08-01 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Math with Python shows you how to use Python to delve into high school–level math topics like statistics, geometry, probability, and calculus. You’ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you’ve gotten the hang of things. Along the way, you’ll discover new ways to explore math and gain valuable programming skills that you’ll use throughout your study of math and computer science. Learn how to: –Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots –Explore set theory and probability with programs for coin flips, dicing, and other games of chance –Solve algebra problems using Python’s symbolic math functions –Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set –Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You’ll write an inequality solver, plot gravity’s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing 100,000 "darts" at a board, explore the relationship between the Fibonacci sequence and the golden ratio, and more. Whether you’re interested in math but have yet to dip into programming or you’re a teacher looking to bring programming into the classroom, you’ll find that Python makes programming easy and practical. Let Python handle the grunt work while you focus on the math. Uses Python 3

Object-oriented Programming in Python

Author : Michael H. Goldwasser
Publisher : Prentice Hall
ISBN 13 : 9780136150312
Total Pages : 0 pages
Book Rating : 4.1/5 (53 download)

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Book Synopsis Object-oriented Programming in Python by : Michael H. Goldwasser

Download or read book Object-oriented Programming in Python written by Michael H. Goldwasser and published by Prentice Hall. This book was released on 2008 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a balanced and flexible approach to the incorporation of object-oriented principles in introductory courses using Python. Familiarizes readers with the terminology of object-oriented programming, the concept of an object's underlying state information, and its menu of available behaviors. Includes an exclusive, easy-to-use custom graphics library that helps readers grasp both basic and more advanced concepts. Lays the groundwork for transition to other languages such as Java and C++. For those interested in learning more about object-oriented programming using Python.

Matematicas Y Programacion En Python

Author : J. C. Bautista
Publisher :
ISBN 13 : 9781291711097
Total Pages : 314 pages
Book Rating : 4.7/5 (11 download)

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Book Synopsis Matematicas Y Programacion En Python by : J. C. Bautista

Download or read book Matematicas Y Programacion En Python written by J. C. Bautista and published by . This book was released on 2014-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hemos elaborado 120 programas de Python y mas de 110 ilustraciones en una obra que sera util tanto a estudiantes de ciencias de los primeros cursos universitarios, como a estudiantes y profesores de bachillerato.Puedes descargar gratuitamente un extracto de 78 paginas del libro en pdf desde nuestro sitio web www.pysamples.com. Los compradores del libro pueden descargar gratuitamente el codigo de los programas. Todos los programas y graficas se han elaborado utilizando software libre, que se puede obtener gratuita y legalmente en internet, por lo que no es necesario adquirir ningun software. Se puede programar gratuitamente en Python tanto si eres usuario de Windows como si prefieres Mac o Linux. El libro puede ser utilizado como libro de matematicas con el que tambien se puede aprender a programar, o bien como un libro de programacion en Python orientada a las ciencias.

Math for Programmers

Author : Paul Orland
Publisher : Manning Publications
ISBN 13 : 1617295353
Total Pages : 686 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Math for Programmers by : Paul Orland

Download or read book Math for Programmers written by Paul Orland and published by Manning Publications. This book was released on 2021-01-12 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. Summary To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest programming fields. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Skip the mathematical jargon: This one-of-a-kind book uses Python to teach the math you need to build games, simulations, 3D graphics, and machine learning algorithms. Discover how algebra and calculus come alive when you see them in code! About the book In Math for Programmers you’ll explore important mathematical concepts through hands-on coding. Filled with graphics and more than 300 exercises and mini-projects, this book unlocks the door to interesting–and lucrative!–careers in some of today’s hottest fields. As you tackle the basics of linear algebra, calculus, and machine learning, you’ll master the key Python libraries used to turn them into real-world software applications. What's inside Vector geometry for computer graphics Matrices and linear transformations Core concepts from calculus Simulation and optimization Image and audio processing Machine learning algorithms for regression and classification About the reader For programmers with basic skills in algebra. About the author Paul Orland is a programmer, software entrepreneur, and math enthusiast. He is co-founder of Tachyus, a start-up building predictive analytics software for the energy industry. You can find him online at www.paulor.land. Table of Contents 1 Learning math with code PART I - VECTORS AND GRAPHICS 2 Drawing with 2D vectors 3 Ascending to the 3D world 4 Transforming vectors and graphics 5 Computing transformations with matrices 6 Generalizing to higher dimensions 7 Solving systems of linear equations PART 2 - CALCULUS AND PHYSICAL SIMULATION 8 Understanding rates of change 9 Simulating moving objects 10 Working with symbolic expressions 11 Simulating force fields 12 Optimizing a physical system 13 Analyzing sound waves with a Fourier series PART 3 - MACHINE LEARNING APPLICATIONS 14 Fitting functions to data 15 Classifying data with logistic regression 16 Training neural networks

Programming for Computations - Python

Author : Svein Linge
Publisher : Springer
ISBN 13 : 3319324284
Total Pages : 244 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Programming for Computations - Python by : Svein Linge

Download or read book Programming for Computations - Python written by Svein Linge and published by Springer. This book was released on 2016-07-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.

Applying Math with Python

Author : Sam Morley
Publisher : Packt Publishing Ltd
ISBN 13 : 1838986561
Total Pages : 353 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Applying Math with Python by : Sam Morley

Download or read book Applying Math with Python written by Sam Morley and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries Key FeaturesCompute complex mathematical problems using programming logic with the help of step-by-step recipesLearn how to utilize Python's libraries for computation, mathematical modeling, and statisticsDiscover simple yet effective techniques for solving mathematical equations and apply them in real-world statisticsBook Description Python, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain. The book teaches you how to solve problems faced in a wide variety of mathematical fields, including calculus, probability, statistics and data science, graph theory, optimization, and geometry. You'll start by developing core skills and learning about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you advance, you'll get to grips with more advanced topics of calculus, probability, and networks (graph theory). After you gain a solid understanding of these topics, you'll discover Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code. By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science. What you will learnGet familiar with basic packages, tools, and libraries in Python for solving mathematical problemsExplore various techniques that will help you to solve computational mathematical problemsUnderstand the core concepts of applied mathematics and how you can apply them in computer scienceDiscover how to choose the most suitable package, tool, or technique to solve a certain problemImplement basic mathematical plotting, change plot styles, and add labels to the plots using MatplotlibGet to grips with probability theory with the Bayesian inference and Markov Chain Monte Carlo (MCMC) methodsWho this book is for This book is for professional programmers and students looking to solve mathematical problems computationally using Python. Advanced mathematics knowledge is not a requirement, but a basic knowledge of mathematics will help you to get the most out of this book. The book assumes familiarity with Python concepts of data structures.

Python for Scientists

Author : John M. Stewart
Publisher : Cambridge University Press
ISBN 13 : 1316641236
Total Pages : 272 pages
Book Rating : 4.3/5 (166 download)

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Book Synopsis Python for Scientists by : John M. Stewart

Download or read book Python for Scientists written by John M. Stewart and published by Cambridge University Press. This book was released on 2017-07-20 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing

Author : M.S. Ramkarthik
Publisher : CRC Press
ISBN 13 : 100062692X
Total Pages : 270 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing by : M.S. Ramkarthik

Download or read book An Object-Oriented Python Cookbook in Quantum Information Theory and Quantum Computing written by M.S. Ramkarthik and published by CRC Press. This book was released on 2022-09-30 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first-of-a-kind textbook provides computational tools in state-of-the-art OOPs Python that are fundamental to quantum information, quantum computing, linear algebra and one-dimensional spin half condensed matter systems. Over 104 subroutines are included, and the codes are aided by mathematical comments to enhance clarity. Suitable for beginner and advanced readers alike, students and researchers will find this textbook to be a helpful guide and a compendium which they can readily use. Features Includes over 104 codes in OOPs Python, all of which can be used either as a standalone program or integrated with any other main program without any issues. Every parameter in the input, output and execution has been provided while keeping both beginner and advanced users in mind. The output of every program is explained thoroughly with detailed examples. Detailed mathematical commenting is done alongside the code which enhances clarity about the flow and working of the code.

Python Programming and Numerical Methods

Author : Qingkai Kong
Publisher : Academic Press
ISBN 13 : 0128195509
Total Pages : 482 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Python Programming and Numerical Methods by : Qingkai Kong

Download or read book Python Programming and Numerical Methods written by Qingkai Kong and published by Academic Press. This book was released on 2020-11-27 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. - Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice - Summaries at the end of each chapter allow for quick access to important information - Includes code in Jupyter notebook format that can be directly run online

An Introduction to Functional Programming Through Lambda Calculus

Author : Greg Michaelson
Publisher : Courier Corporation
ISBN 13 : 0486280292
Total Pages : 338 pages
Book Rating : 4.4/5 (862 download)

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Book Synopsis An Introduction to Functional Programming Through Lambda Calculus by : Greg Michaelson

Download or read book An Introduction to Functional Programming Through Lambda Calculus written by Greg Michaelson and published by Courier Corporation. This book was released on 2013-04-10 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Well-respected text for computer science students provides an accessible introduction to functional programming. Cogent examples illuminate the central ideas, and numerous exercises offer reinforcement. Includes solutions. 1989 edition.

The Little LISPer

Author : Daniel P. Friedman
Publisher : Prentice Hall
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Little LISPer by : Daniel P. Friedman

Download or read book The Little LISPer written by Daniel P. Friedman and published by Prentice Hall. This book was released on 1989 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt:

OOP - Learn Object Oriented Thinking & Programming

Author : Rudolf Pecinovsky
Publisher : Tomáš Bruckner
ISBN 13 : 8090466184
Total Pages : 527 pages
Book Rating : 4.0/5 (94 download)

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Book Synopsis OOP - Learn Object Oriented Thinking & Programming by : Rudolf Pecinovsky

Download or read book OOP - Learn Object Oriented Thinking & Programming written by Rudolf Pecinovsky and published by Tomáš Bruckner. This book was released on 2013-11-01 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: You can find a whole range of programming textbooks intended for complete beginners. However, this one is exceptional to certain extent. The whole textbook is designed as a record of the dialogue of the author with his daughter who wants to learn programming. The author endeavors not to explain the Java programming language to the readers, but to teach them real programming. To teach them how to think and design the program as the experienced programmers do. Entire matter is explained in a very illustrative way which means even a current secondary school student can understand it quite simply.

Python for Software Design

Author : Allen Downey
Publisher : Cambridge University Press
ISBN 13 : 0521898110
Total Pages : 273 pages
Book Rating : 4.5/5 (218 download)

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Book Synopsis Python for Software Design by : Allen Downey

Download or read book Python for Software Design written by Allen Downey and published by Cambridge University Press. This book was released on 2009-03-09 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python for Software Design is a concise introduction to software design using the Python programming language. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept.