Practical Numerical Computing Using Python

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Practical Numerical Computing Using Python

Mahendra Verma
Practical Numerical Computing Using Python Book PDF

Author : Mahendra Verma
Publisher : Independently Published
Page : 0 pages
File Size : 40,7 Mb
Release : 2021-11-14
Category : Electronic
ISBN : 9798767314713

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Practical Numerical Computing Using Python by Mahendra Verma Pdf

Review: "This excellent book of Prof. Verma is a single resource which a student can use to learn the fast-developing field of computational science. In addition to the description of Python language, it provides a broad overview of hardware, software, classic numerical methods, and everything in between. I recommend it strongly to all!" -- Prof. Prateek Sharma, IISc Bengaluru Key Features of the Book: Perfect book for introduction to practical numerical algorithms and programs for advanced undergraduate and beginning graduate students. Introduces Python programming language and its modules related to numerical computing Covers Numpy, Matplotlib, and Scipy modules in details. Illustrates how to make a variety of plots and animations. Detailed discussions on important numerical algorithms: Interpolation, Integration, Differentiation, ODE and PDE solvers, and Linear algebra solvers. Practical implementation of the algorithms in Python. Introduces Spectral and Finite-difference methods and applications to fluid mechanics and quantum mechanics. Includes chapters on Monte Carlo methods and applications to statistical physics, as well as on error analysis. A brief introduction to Computer hardware, complexity estimates, and nondimensionalization.

Practical Numerical and Scientific Computing with MATLAB® and Python

Eihab B. M. Bashier
Practical Numerical and Scientific Computing with MATLAB and Python Book PDF

Author : Eihab B. M. Bashier
Publisher : CRC Press
Page : 349 pages
File Size : 40,9 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9780429666827

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Practical Numerical and Scientific Computing with MATLAB® and Python by Eihab B. M. Bashier Pdf

Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems. This book has the following advantages: It adopts the programming languages, MATLAB and Python, which are widely used among academics, scientists, and engineers, for ease of use and contain many libraries covering many scientific and engineering fields. It contains topics that are rarely found in other numerical analysis books, such as ill-conditioned linear systems and methods of regularization to stabilize their solutions, nonstandard finite differences methods for solutions of ordinary differential equations, and the computations of the optimal controls. It provides a practical explanation of how to apply these topics using MATLAB and Python. It discusses software libraries to solve mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to differential equations and static and dynamic optimization problems. Most programs in the book can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify these programs. This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.

Practical Numerical Computing Using Python

Briana Perry
Practical Numerical Computing Using Python Book PDF

Author : Briana Perry
Publisher : Larsen and Keller Education
Page : 0 pages
File Size : 46,8 Mb
Release : 2023-09-26
Category : Computers
ISBN : 9798888360262

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Practical Numerical Computing Using Python by Briana Perry Pdf

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. The high-level built-in data structures of python combined with dynamic typing and dynamic binding can be efficiently used for rapid application development (RAD). The simple and easy to learn syntax of Python significantly draws attention on readability. This aspect greatly helps in reducing the cost of program maintenance. There are several applications of python such as language development, prototyping, database access, software development, and graphic design. Python supports modules and packages, which encourage modular programming and code reuse. The simple and versatile nature of Python makes it a powerful tool in scientific and engineering computations. The data and numerical analysis as well as the plotting libraries of python such as NumPy, SciPy and matplotlib have become very popular programming tools in industry and academia. This book outlines the importance of Python as an important computer language for solving numerical problems. It will serve as a valuable source of reference for graduate and post graduate students.

Numerical Python

Robert Johansson
Numerical Python Book PDF

Author : Robert Johansson
Publisher : Apress
Page : 505 pages
File Size : 54,5 Mb
Release : 2015-10-07
Category : Computers
ISBN : 9781484205532

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Numerical Python by Robert Johansson Pdf

Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games. Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python's immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.

Numerical Computing with Python

Pratap Dangeti,Allen Yu,Claire Chung,Aldrin Yim,Theodore Petrou
Numerical Computing with Python Book PDF

Author : Pratap Dangeti,Allen Yu,Claire Chung,Aldrin Yim,Theodore Petrou
Publisher : Packt Publishing Ltd
Page : 676 pages
File Size : 48,8 Mb
Release : 2018-12-21
Category : Computers
ISBN : 9781789957228

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Numerical Computing with Python by Pratap Dangeti,Allen Yu,Claire Chung,Aldrin Yim,Theodore Petrou Pdf

Understand, explore, and effectively present data using the powerful data visualization techniques of Python Key FeaturesUse the power of Pandas and Matplotlib to easily solve data mining issuesUnderstand the basics of statistics to build powerful predictive data modelsGrasp data mining concepts with helpful use-cases and examplesBook Description Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining. You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models. By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional. This Learning Path includes content from the following Packt products: Statistics for Machine Learning by Pratap DangetiMatplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin YimPandas Cookbook by Theodore PetrouWhat you will learnUnderstand the statistical fundamentals to build data modelsSplit data into independent groups Apply aggregations and transformations to each groupCreate impressive data visualizationsPrepare your data and design models Clean up data to ease data analysis and visualizationCreate insightful visualizations with Matplotlib and SeabornCustomize the model to suit your own predictive goalsWho this book is for If you want to learn how to use the many libraries of Python to extract impactful information from your data and present it as engaging visuals, then this is the ideal Learning Path for you. Some basic knowledge of Python is enough to get started with this Learning Path.

Applied Scientific Computing

Peter R. Turner,Thomas Arildsen,Kathleen Kavanagh
Applied Scientific Computing Book PDF

Author : Peter R. Turner,Thomas Arildsen,Kathleen Kavanagh
Publisher : Springer
Page : 272 pages
File Size : 45,6 Mb
Release : 2018-07-18
Category : Computers
ISBN : 9783319895758

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Applied Scientific Computing by Peter R. Turner,Thomas Arildsen,Kathleen Kavanagh Pdf

This easy-to-understand textbook presents a modern approach to learning numerical methods (or scientific computing), with a unique focus on the modeling and applications of the mathematical content. Emphasis is placed on the need for, and methods of, scientific computing for a range of different types of problems, supplying the evidence and justification to motivate the reader. Practical guidance on coding the methods is also provided, through simple-to-follow examples using Python. Topics and features: provides an accessible and applications-oriented approach, supported by working Python code for many of the methods; encourages both problem- and project-based learning through extensive examples, exercises, and projects drawn from practical applications; introduces the main concepts in modeling, python programming, number representation, and errors; explains the essential details of numerical calculus, linear, and nonlinear equations, including the multivariable Newton method; discusses interpolation and the numerical solution of differential equations, covering polynomial interpolation, splines, and the Euler, Runge–Kutta, and shooting methods; presents largely self-contained chapters, arranged in a logical order suitable for an introductory course on scientific computing. Undergraduate students embarking on a first course on numerical methods or scientific computing will find this textbook to be an invaluable guide to the field, and to the application of these methods across such varied disciplines as computer science, engineering, mathematics, economics, the physical sciences, and social science.

Introduction to Scientific Programming with Python

Joakim Sundnes
Introduction to Scientific Programming with Python Book PDF

Author : Joakim Sundnes
Publisher : Unknown
Page : 157 pages
File Size : 50,7 Mb
Release : 2020
Category : Computer programming
ISBN : 9783030503567

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Introduction to Scientific Programming with Python by Joakim Sundnes Pdf

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.

Numerical Python

Robert Johansson
Numerical Python Book PDF

Author : Robert Johansson
Publisher : Apress
Page : 709 pages
File Size : 51,6 Mb
Release : 2018-12-24
Category : Computers
ISBN : 9781484242469

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Numerical Python by Robert Johansson Pdf

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more. Numerical Python, Second Edition, presents many brand-new case study examples of applications in data science and statistics using Python, along with extensions to many previous examples. Each of these demonstrates the power of Python for rapid development and exploratory computing due to its simple and high-level syntax and multiple options for data analysis. After reading this book, readers will be familiar with many computing techniques including array-based and symbolic computing, visualization and numerical file I/O, equation solving, optimization, interpolation and integration, and domain-specific computational problems, such as differential equation solving, data analysis, statistical modeling and machine learning. What You'll Learn Work with vectors and matrices using NumPy Plot and visualize data with Matplotlib Perform data analysis tasks with Pandas and SciPy Review statistical modeling and machine learning with statsmodels and scikit-learn Optimize Python code using Numba and Cython Who This Book Is For Developers who want to understand how to use Python and its related ecosystem for numerical computing.

Introduction to Numerical Programming

Titus A. Beu
Introduction to Numerical Programming Book PDF

Author : Titus A. Beu
Publisher : CRC Press
Page : 676 pages
File Size : 53,6 Mb
Release : 2014-09-03
Category : Mathematics
ISBN : 9781466569676

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Introduction to Numerical Programming by Titus A. Beu Pdf

Makes Numerical Programming More Accessible to a Wider Audience Bearing in mind the evolution of modern programming, most specifically emergent programming languages that reflect modern practice, Numerical Programming: A Practical Guide for Scientists and Engineers Using Python and C/C++ utilizes the author’s many years of practical research and teaching experience to offer a systematic approach to relevant programming concepts. Adopting a practical, broad appeal, this user-friendly book offers guidance to anyone interested in using numerical programming to solve science and engineering problems. Emphasizing methods generally used in physics and engineering—from elementary methods to complex algorithms—it gradually incorporates algorithmic elements with increasing complexity. Develop a Combination of Theoretical Knowledge, Efficient Analysis Skills, and Code Design Know-How The book encourages algorithmic thinking, which is essential to numerical analysis. Establishing the fundamental numerical methods, application numerical behavior and graphical output needed to foster algorithmic reasoning, coding dexterity, and a scientific programming style, it enables readers to successfully navigate relevant algorithms, understand coding design, and develop efficient programming skills. The book incorporates real code, and includes examples and problem sets to assist in hands-on learning. Begins with an overview on approximate numbers and programming in Python and C/C++, followed by discussion of basic sorting and indexing methods, as well as portable graphic functionality Contains methods for function evaluation, solving algebraic and transcendental equations, systems of linear algebraic equations, ordinary differential equations, and eigenvalue problems Addresses approximation of tabulated functions, regression, integration of one- and multi-dimensional functions by classical and Gaussian quadratures, Monte Carlo integration techniques, generation of random variables, discretization methods for ordinary and partial differential equations, and stability analysis This text introduces platform-independent numerical programming using Python and C/C++, and appeals to advanced undergraduate and graduate students in natural sciences and engineering, researchers involved in scientific computing, and engineers carrying out applicative calculations.

Python Programming and Numerical Methods

Qingkai Kong,Timmy Siauw,Alexandre Bayen
Python Programming and Numerical Methods Book PDF

Author : Qingkai Kong,Timmy Siauw,Alexandre Bayen
Publisher : Academic Press
Page : 482 pages
File Size : 55,9 Mb
Release : 2020-11-27
Category : Technology & Engineering
ISBN : 9780128195505

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Python Programming and Numerical Methods by Qingkai Kong,Timmy Siauw,Alexandre Bayen Pdf

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

Numerical Methods in Engineering with Python 3

Jaan Kiusalaas
Numerical Methods in Engineering with Python 3 Book PDF

Author : Jaan Kiusalaas
Publisher : Cambridge University Press
Page : 437 pages
File Size : 50,8 Mb
Release : 2013-01-21
Category : Computers
ISBN : 9781107033856

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Numerical Methods in Engineering with Python 3 by Jaan Kiusalaas Pdf

Provides an introduction to numerical methods for students in engineering. It uses Python 3, an easy-to-use, high-level programming language.

Learning SciPy for Numerical and Scientific Computing - Second Edition

Sergio J. Rojas G.,Erik A Christensen,Francisco J. Blanco-Silva
Learning SciPy for Numerical and Scientific Computing Second Edition Book PDF

Author : Sergio J. Rojas G.,Erik A Christensen,Francisco J. Blanco-Silva
Publisher : Packt Publishing Ltd
Page : 188 pages
File Size : 45,5 Mb
Release : 2015-02-26
Category : Computers
ISBN : 9781783987719

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Learning SciPy for Numerical and Scientific Computing - Second Edition by Sergio J. Rojas G.,Erik A Christensen,Francisco J. Blanco-Silva Pdf

This book targets programmers and scientists who have basic Python knowledge and who are keen to perform scientific and numerical computations with SciPy.

A Primer on Scientific Programming with Python

Hans Petter Langtangen
A Primer on Scientific Programming with Python Book PDF

Author : Hans Petter Langtangen
Publisher : Springer
Page : 942 pages
File Size : 54,5 Mb
Release : 2016-07-28
Category : Computers
ISBN : 9783662498873

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A Primer on Scientific Programming with Python by Hans Petter Langtangen Pdf

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

Introduction to Python for Engineers and Scientists

Sandeep Nagar
Introduction to Python for Engineers and Scientists Book PDF

Author : Sandeep Nagar
Publisher : Apress
Page : 264 pages
File Size : 46,8 Mb
Release : 2017-12-06
Category : Computers
ISBN : 9781484232040

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Introduction to Python for Engineers and Scientists by Sandeep Nagar Pdf

Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Apply data types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.

Practical Numerical and Scientific Computing with MATLAB® and Python

Eihab B. M. Bashier
Practical Numerical and Scientific Computing with MATLAB and Python Book PDF

Author : Eihab B. M. Bashier
Publisher : CRC Press
Page : 278 pages
File Size : 51,6 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9780429664106

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Practical Numerical and Scientific Computing with MATLAB® and Python by Eihab B. M. Bashier Pdf

Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems. This book has the following advantages: It adopts the programming languages, MATLAB and Python, which are widely used among academics, scientists, and engineers, for ease of use and contain many libraries covering many scientific and engineering fields. It contains topics that are rarely found in other numerical analysis books, such as ill-conditioned linear systems and methods of regularization to stabilize their solutions, nonstandard finite differences methods for solutions of ordinary differential equations, and the computations of the optimal controls. It provides a practical explanation of how to apply these topics using MATLAB and Python. It discusses software libraries to solve mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to differential equations and static and dynamic optimization problems. Most programs in the book can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify these programs. This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.