Numbers And Functions Theory Formulation And Python Codes

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Numbers And Functions: Theory, Formulation, And Python Codes

Author : Gui-rong Liu
Publisher : World Scientific
ISBN 13 : 9811287643
Total Pages : 226 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Numbers And Functions: Theory, Formulation, And Python Codes by : Gui-rong Liu

Download or read book Numbers And Functions: Theory, Formulation, And Python Codes written by Gui-rong Liu and published by World Scientific. This book was released on 2024-06-18 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume covers two fundamental elements of computational methods — numbers and functions. It provides an in-depth discussion of the behaviors of numbers, including both real and complex numbers. The discussion leads to the important closure properties of numbers, ensuring solution consistence and existence, and also possible failure in numerical computations in science and engineering.This text then introduces types of functions that take numbers as independent variables and produce a single number. Approaches for constructing inverse functions are also provided. Frequently used basis functions are introduced, with detailed studies on their properties and behaviors. Techniques are presented for constructing basis functions and their use in function approximation in computational methods.

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

Writing Idiomatic Python 3.3

Author : Jeff Knupp
Publisher : Jeff Knupp
ISBN 13 :
Total Pages : 105 pages
Book Rating : 4./5 ( download)

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Book Synopsis Writing Idiomatic Python 3.3 by : Jeff Knupp

Download or read book Writing Idiomatic Python 3.3 written by Jeff Knupp and published by Jeff Knupp. This book was released on 2013-02-10 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: The "Writing Idiomatic Python" book is finally here! Chock full of code samples, you'll learn the "Pythonic" way to accomplish common tasks. Each idiom comes with a detailed description, example code showing the "wrong" way to do it, and code for the idiomatic, "Pythonic" alternative. *This version of the book is for Python 3. There is also a Python 2.7+ version available.* "Writing Idiomatic Python" contains the most common and important Python idioms in a format that maximizes identification and understanding. Each idiom is presented as a recommendation to write some commonly used piece of code. It is followed by an explanation of why the idiom is important. It also contains two code samples: the "Harmful" way to write it and the "Idiomatic" way. * The "Harmful" way helps you identify the idiom in your own code. * The "Idiomatic" way shows you how to easily translate that code into idiomatic Python. This book is perfect for you: * If you're coming to Python from another programming language * If you're learning Python as a first programming language * If you're looking to increase the readability, maintainability, and correctness of your Python code What is "Idiomatic" Python? Every programming language has its own idioms. Programming language idioms are nothing more than the generally accepted way of writing a certain piece of code. Consistently writing idiomatic code has a number of important benefits: * Others can read and understand your code easily * Others can maintain and enhance your code with minimal effort * Your code will contain fewer bugs * Your code will teach others to write correct code without any effort on your part

Introduction to Programming in Python

Author : Robert Sedgewick
Publisher : Addison-Wesley Professional
ISBN 13 : 0134076524
Total Pages : 1487 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis Introduction to Programming in Python by : Robert Sedgewick

Download or read book Introduction to Programming in Python written by Robert Sedgewick and published by Addison-Wesley Professional. This book was released on 2015-05-27 with total page 1487 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, anyone in a scientific or technical discipline needs programming skills. Python is an ideal first programming language, and Introduction to Programming in Python is the best guide to learning it. Princeton University’s Robert Sedgewick, Kevin Wayne, and Robert Dondero have crafted an accessible, interdisciplinary introduction to programming in Python that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students to learn that programming is a natural, satisfying, and creative experience. This example-driven guide focuses on Python’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused Object-oriented programming and data abstraction: objects, modularity, encapsulation, and more Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables Examples from applied math, physics, chemistry, biology, and computer science—all compatible with Python 2 and 3 Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative practice throughout. An extensive amount of supplementary information is available at introcs.cs.princeton.edu/python. With source code, I/O libraries, solutions to selected exercises, and much more, this companion website empowers people to use their own computers to teach and learn the material.

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.

Python Programming Using Problem Solving

Author : Harsh Bhasin
Publisher : Mercury Learning and Information
ISBN 13 : 1683928601
Total Pages : 671 pages
Book Rating : 4.6/5 (839 download)

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Book Synopsis Python Programming Using Problem Solving by : Harsh Bhasin

Download or read book Python Programming Using Problem Solving written by Harsh Bhasin and published by Mercury Learning and Information. This book was released on 2023-06-28 with total page 671 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is a robust, procedural, object-oriented, and functional language. The features of the language make it valuable for web development, game development, business, and scientific programming. This book deals with problem-solving and programming in Python. It concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems. In addition to standard Python topics, the book has extensive coverage of NumPy, data visualization, and Matplotlib. Numerous types of exercises, including theoretical, programming, and multiple-choice, reinforce the concepts covered in each chapter. FEATURES: Concentrates on the development of efficient algorithms, the syntax of the language, and the ability to design programs in order to solve problems Features both standard Python topics and also extensive coverage of NumPy, data visualization, and Matplotlib problem-solving techniques

Learning Scientific Programming with Python

Author : Christian Hill
Publisher : Cambridge University Press
ISBN 13 : 1108787460
Total Pages : 572 pages
Book Rating : 4.1/5 (87 download)

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Book Synopsis Learning Scientific Programming with Python by : Christian Hill

Download or read book Learning Scientific Programming with Python written by Christian Hill and published by Cambridge University Press. This book was released on 2020-11-12 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to master basic programming tasks from scratch with real-life, 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 fast-paced introduction moves from the basics to advanced concepts in one complete volume, enabling readers to gain proficiency quickly. Beginning with general programming concepts such as loops and functions within the core Python 3 language, and moving on to the NumPy, SciPy and Matplotlib libraries for numerical programming and data visualization, this textbook also discusses the use of Jupyter Notebooks to build rich-media, shareable documents for scientific analysis. The second edition features a new chapter on data analysis with the pandas library and comprehensive updates, and new exercises and examples. A final chapter introduces more advanced topics such as floating-point precision and algorithm stability, and extensive online resources support further study. This textbook represents a targeted package for students requiring a solid foundation in Python programming.

Functional Programming in Python

Author : David Mertz
Publisher :
ISBN 13 : 9781985826748
Total Pages : 48 pages
Book Rating : 4.8/5 (267 download)

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Book Synopsis Functional Programming in Python by : David Mertz

Download or read book Functional Programming in Python written by David Mertz and published by . This book was released on 2018-02-23 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this document, we'll take a tour of Python's features suitable for implementing programs in a functional style. After an introduction to the concepts of functional programming, we'll look at language features such as iterators and generators and relevant library modules such as itertools and functools.

ArcPy and ArcGIS

Author : Silas Toms
Publisher : Packt Publishing Ltd
ISBN 13 : 1787280411
Total Pages : 262 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis ArcPy and ArcGIS by : Silas Toms

Download or read book ArcPy and ArcGIS written by Silas Toms and published by Packt Publishing Ltd. This book was released on 2017-06-29 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use Python modules such as ArcPy, ArcREST and the ArcGIS API for Python to automate the analysis and mapping of geospatial data. About This Book Perform GIS analysis faster by automating tasks. Access the spatial data contained within shapefiles and geodatabases and transform between spatial reference systems. Automate the mapping of geospatial analyses and production of map books. Who This Book Is For If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses and implement ArcGIS Online data management. What You Will Learn Understand how to integrate Python into ArcGIS and make GIS analysis faster and easier. Create Python script using ArcGIS ModelBuilder. Learn to use ArcGIS online feature services and the basics of the ArcGIS REST API Understand the unique Python environment that is new with ArcGIS Pro Learn about the new ArcGIS Python API and how to use Anaconda and Jupyter with it Learn to control ArcGIS Enterprise using ArcPy In Detail ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script these ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. The second edition of the book focuses on new Python tools, such as the ArcGIS API for Python. Using Python, this book will guide you from basic Python scripting to advanced ArcPy script tools. This book starts off with setting up your Python environment for ArcGIS automation. Then you will learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using arcpy and ArcGIS Online. Next, you will be introduced to ArcREST library followed by examples on querying, updating and manipulating ArcGIS Online feature services. Further, you will be enabling your scripts in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you can learn ways to use of ArcPy to control ArcGIS Enterprise and explore topics on deployments, data quality assurances, data updates, version control, and editing safeguards. By the end of the book, you will be equipped with the knowledge required to create automated analysis with administration reducing the time-consuming nature of GIS. Style and approach The book takes a pragmatic approach, showing ways to automate repetitive tasks and utilizing features of ArcPy with ArcGIS Pro and ArcGIS online.

Python Tutorial 3.11.3

Author : Guido Van Rossum
Publisher :
ISBN 13 : 9781312571655
Total Pages : 0 pages
Book Rating : 4.5/5 (716 download)

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Book Synopsis Python Tutorial 3.11.3 by : Guido Van Rossum

Download or read book Python Tutorial 3.11.3 written by Guido Van Rossum and published by . This book was released on 2023-05-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ArcPy and ArcGIS – Geospatial Analysis with Python

Author : Silas Toms
Publisher : Packt Publishing Ltd
ISBN 13 : 1783988673
Total Pages : 224 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis ArcPy and ArcGIS – Geospatial Analysis with Python by : Silas Toms

Download or read book ArcPy and ArcGIS – Geospatial Analysis with Python written by Silas Toms and published by Packt Publishing Ltd. This book was released on 2015-02-26 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.

Python Programming for Biology

Author : Tim J. Stevens
Publisher : Cambridge University Press
ISBN 13 : 1316194140
Total Pages : 721 pages
Book Rating : 4.3/5 (161 download)

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Book Synopsis Python Programming for Biology by : Tim J. Stevens

Download or read book Python Programming for Biology written by Tim J. Stevens and published by Cambridge University Press. This book was released on 2015-02-12 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how to program with Python, a powerful, flexible and easy-to-use language.

Machine Learning With Python: Theory And Applications

Author : Gui-rong Liu
Publisher : World Scientific
ISBN 13 : 9811254192
Total Pages : 693 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Machine Learning With Python: Theory And Applications by : Gui-rong Liu

Download or read book Machine Learning With Python: Theory And Applications written by Gui-rong Liu and published by World Scientific. This book was released on 2022-12-05 with total page 693 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning (ML) has become a very important area of research widely used in various industries.This compendium introduces the basic concepts, fundamental theories, essential computational techniques, codes, and applications related to ML models. With a strong foundation, one can comfortably learn related topics, methods, and algorithms. Most importantly, readers with strong fundamentals can even develop innovative and more effective machine models for his/her problems. The book is written to achieve this goal.The useful reference text benefits professionals, academics, researchers, graduate and undergraduate students in AI, ML and neural networks.

Practical GPU Graphics with wgpu-py and Python

Author : Jack Xu
Publisher : UniCAD
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.8/5 (321 download)

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Book Synopsis Practical GPU Graphics with wgpu-py and Python by : Jack Xu

Download or read book Practical GPU Graphics with wgpu-py and Python written by Jack Xu and published by UniCAD. This book was released on 2022-06-15 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wgpu-py is the next-generation Python graphics API and future standard for both native devices and the web, aiming to provide modern 3D graphics and computation capabilities with the GPU acceleration. This book provides all the tools you need to help you create advanced 3D graphics and GPU computing on native devices with this new wgpu-py API. The book starts by taking you through the wgpu-py development environment for building the wgpu-py apps and then shows you the Python and wgpu-py basics, shader programs, GPU buffers, and rendering pipelines. Next, you will learn how to create primitives and simple objects in wgpu-py. As you progress through the chapters, you will get to grips with advanced wgpu-py topics, including 3D transformation, lighting calculation, colormaps, and textures. At the same time, you will learn how to create advanced 3D wgpu-py objects, including various 3D wireframes, 3D shapes, simple and parametric 3D surfaces with colormaps and textures, as well as beautiful fractal images described by complex functions. You will also explore new wgpu features, such as compute shader and storage buffer, and how to use them to simulate large particle systems. In addition, this book will introduce the pygfx render engine that is based on wgpu-py, and show you how to use its built-in primitives to create various 3D objects. You will also learn how to build custom objects and geometries in pygfx. By the end of this book, you will have the skill you need to build your own GPU-accelerated graphics and computing on both native devices and the web with the wgpu-py API.

Raspberry Pi :Raspberry Pi Guide On Python & Projects Programming In Easy Steps

Author : Jason Scotts
Publisher : Speedy Publishing LLC
ISBN 13 : 1628847441
Total Pages : 37 pages
Book Rating : 4.6/5 (288 download)

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Book Synopsis Raspberry Pi :Raspberry Pi Guide On Python & Projects Programming In Easy Steps by : Jason Scotts

Download or read book Raspberry Pi :Raspberry Pi Guide On Python & Projects Programming In Easy Steps written by Jason Scotts and published by Speedy Publishing LLC. This book was released on 2013-08-27 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Raspberry Pi Programming Guide" is a text that gives the reader a bit of insight into this form of technology. It is European based and is just making a debut in North America so many are curious about it and what exactly this technology can do. The aim that the author has with this text is to highlight the main functions of Raspberry Pi and how it can be beneficial to the consumer in the long run. The text is extremely informative and to the point and it is simple to read. The great thing about the book is that anyone, even someone who does not know much about this form of technology can understand the process. It is a great text to have in any household that has a keen interest in technology.

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

Explorations in Number Theory

Author : Cam McLeman
Publisher : Springer Nature
ISBN 13 : 3030989313
Total Pages : 380 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Explorations in Number Theory by : Cam McLeman

Download or read book Explorations in Number Theory written by Cam McLeman and published by Springer Nature. This book was released on 2022-12-18 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative undergraduate textbook approaches number theory through the lens of abstract algebra. Written in an engaging and whimsical style, this text will introduce students to rings, groups, fields, and other algebraic structures as they discover the key concepts of elementary number theory. Inquiry-based learning (IBL) appears throughout the chapters, allowing students to develop insights for upcoming sections while simultaneously strengthening their understanding of previously covered topics. The text is organized around three core themes: the notion of what a “number” is, and the premise that it takes familiarity with a large variety of number systems to fully explore number theory; the use of Diophantine equations as catalysts for introducing and developing structural ideas; and the role of abstract algebra in number theory, in particular the extent to which it provides the Fundamental Theorem of Arithmetic for various new number systems. Other aspects of modern number theory – including the study of elliptic curves, the analogs between integer and polynomial arithmetic, p-adic arithmetic, and relationships between the spectra of primes in various rings – are included in smaller but persistent threads woven through chapters and exercise sets. Each chapter concludes with exercises organized in four categories: Calculations and Informal Proofs, Formal Proofs, Computation and Experimentation, and General Number Theory Awareness. IBL “Exploration” worksheets appear in many sections, some of which involve numerical investigations. To assist students who may not have experience with programming languages, Python worksheets are available on the book’s website. The final chapter provides five additional IBL explorations that reinforce and expand what students have learned, and can be used as starting points for independent projects. The topics covered in these explorations are public key cryptography, Lagrange’s four-square theorem, units and Pell’s Equation, various cases of the solution to Fermat’s Last Theorem, and a peek into other deeper mysteries of algebraic number theory. Students should have a basic familiarity with complex numbers, matrix algebra, vector spaces, and proof techniques, as well as a spirit of adventure to explore the “numberverse.”