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.

Download or read book Matem ticas y gr ficos con Python written by José Luis Prieto Morlanés and published by Ra-Ma Editorial. This book was released on 2024-05-17 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Con esta obra el lector emprenderá un emocionante viaje a través del mundo de las matemáticas y la visualización de datos utilizando el poderoso lenguaje de programación Python. Este libro no solo ofrece una introducción accesible a los conceptos matemáticos fundamentales, sino que también proporciona las herramientas necesarias para aplicar estos conocimientos a través de la programación. A lo largo de sus páginas, el autor guía al lector en un recorrido interactivo que abarca desde los conceptos básicos de la trigonometría y el cálculo hasta técnicas avanzadas de visualización de datos. Utilizando bibliotecas de Python como NumPy y Matplotlib, los lectores aprenderán a crear gráficos impresionantes y a manipular conjuntos de datos de manera efectiva. Cada capítulo presenta nuevos conceptos matemáticos junto con ejemplos de código prácticos. Desde la creación de gráficos de funciones simples hasta la visualización de conjuntos de datos multidimensionales, este libro proporciona una base sólida para aquellos interesados en explorar las matemáticas desde una perspectiva computacional. Ya sea el lector sea un principiante en programación o un matemático experimentado en busca de nuevas formas de visualizar y analizar datos, este libro ofrece una experiencia educativa enriquecedora y estimulante que abrirá nuevas puertas hacia la comprensión y la exploración del mundo de las matemáticas con Python. El código descrito en el libro se podrá descargar accediendo a la ficha del libro en www.ra-ma.es.

Download or read book Matematicas y Programacion En Python 2 Edicion written by J. C. Bautista Marugan and published by Lulu.com. This book was released on 2015-01-02 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: El libro contiene 120 programas originales de Python y mas de 110 ilustraciones. Esperamos que sea util tanto a estudiantes de bachillerato, como a estudiantes de ciencias de los primeros cursos universitarios, asi como recurso pedagogico para los profesores. Todos los programas y graficas del libro se han elaborado utilizando software libre, que se puede obtener gratuita y legalmente en internet, por lo que no es necesario adquirir ningun software adicional. El lenguaje Python es especialmente adecuado para el aprendizaje de programacion, y actualmente es el lenguaje mas utilizado como lenguaje de introduccion a la programacion en las universidades de Estados Unidos. Se puede programar en Python tanto si eres usuario de Windows como si prefieres Mac o Linux. Puedes descargar gratuitamente un extracto de mas de 70 paginas del libro en formato pdf desde nuestro sitio web www.pysamples.com. Los compradores del libro tambien pueden descargar gratuitamente el codigo de los programas del libro.

Download or read book Python con aplicaciones a las matem ticas ingenier a y finanzas written by VV.AA. and published by Marcombo. This book was released on 2020-04-30 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: En esta obra se presenta el lenguaje de programación Python desde sus conceptos y características básicas, hasta el desarrollo de programas con un alto nivel de complejidad. De acuerdo con este propósito en el libro se incluyen más de 150 ejemplos que ilustran cada paso de la exposición. Aprenda La descripción, análisis y desarrollo de algoritmos a ser implementados con el lenguaje de programación Python. Conozca Los conceptos y métodos fundamentales del lenguaje de programación Python. Desarrolle El diseño de algoritmos y su implementación en el lenguaje Python. Ofelia Cervantes Villagómez. Licenciada en Ingeniería en Sistemas Computacionales (UDLAP), Maestra en Ciencias Computacionales (École Nationale Supérieure d'Informatique et de Mathématiques Appliquées - Grenoble), Doctora en Ciencias Computacionales (Institut National Polytechnique de Grenoble). Ha trabajado como investigadora en varias instituciones nacionales e internacionales en las áreas de inteligencia artificial, bases de datos y sistemas distribuidos. David Báez López. Licenciado en Física (UAP), Maestro en Ciencias (Universidad de Arizona), Doctor en Ingeniería Eléctrica (Universidad de Arizona). Ha publicado más de sesenta papers en revistas y congresos internacionales, y es autor de ocho libros acerca de simulación de circuitos y MATLAB. Juan Antonio Arízaga Silva recibió el grado de Maestro en Ciencias de la Universidad de las Américas Puebla en 2006 y el título de licenciado en electrónica en 2003 por la Benemérita Universidad Autónoma de Puebla. Actualmente es profesor investigador de tiempo completo en la Universidad Politécnica de Puebla en el área de Sistemas Automotrices. Esteban Castillo Juárez es Licenciado en ciencias de la computación y maestro en ciencias de la computación por parte de la Benemérita Universidad Autónoma de Puebla. Actualmente es estudiante de doctorado en ciencias de la computación en la Universidad de las Américas Puebla. Sus áreas de interés incluyen el procesamiento de lenguaje natural, minería de datos, aprendizaje automático, análisis de redes sociales y teoría de grafos.

Download or read book Mathematics and Python Programming written by J.C. Bautista and published by Lulu.com. This book was released on 2014-07-16 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: "We have developed 120 Python programs and more than 110 illustrations in a work that will be useful both to students of science of the first university science courses, as well as high school students and teachers, and to anyone interested in Python programming intending to acquire new tools to expose mathematical concepts in a didactic and modern fashion ... The book begins with a detailed introduction to Python, followed by ten chapters of mathematics with its corresponding Python programs, results and graphs."--Cover.

Download or read book Programming for Computations Python written by Svein Linge and published by Springer Nature. This book was released on 2019-10-30 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed 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 students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.

Download or read book Python Paso a paso written by Ángel Hinojosa Gutiérrez and published by Ra-Ma Editorial. This book was released on 2016-03-09 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: En los últimos años, el lenguaje de programación Python aparece siempre en los primeros puestos de todos los rankings de popularidad, siendo uno de los más usados. Python es un lenguaje multiplataforma cómodo, flexible, potente y fácilmente extensible, ideal tanto para programar pequeñas soluciones como para acometer grandes proyectos informáticos. Estas características han hecho que se emplee tanto en informática doméstica como en ambientes científicos o entornos empresariales. Además, su clara orientación a la limpieza del código y la legibilidad hacen de Python una de las mejores opciones (probablemente la mejor) para aquellos que buscan comenzar su aprendizaje en la programación: al contrario que otros lenguajes de programación más difíciles de comprender, Python es agradable de leer y aprender. En este libro se explica cómo programar usando el lenguaje Python paso a paso y desde cero. En su redacción se ha puesto especial atención en la sencillez y la facilidad de comprensión, usando ejemplos prácticos y funcionales y buscando una curva de aprendizaje lo más suave posible, sin asumir que el lector tiene conocimientos de programación previos. De forma gradual y sencilla, se muestran todos los aspectos de la programación en Python, desde la instalación del propio intérprete o las estructuras y elementos del lenguaje, hasta el acceso a ficheros, el uso y programación de funciones y bibliotecas, la programación orientada a objetos o la construcción de interfaces gráficos.

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.

Download or read book Doing Math with Python written by Amit Saha and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doing Math with Python teaches you how to use Python as a tool to delve into math concepts.

Download or read book Introduction to Python written by David Báez-López and published by CRC Press. This book was released on 2024-07-02 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool. The book is written to be accessible and useful to those with no prior experience of Python, but those who are somewhat more adept will also benefit from the more advanced material that comes later in the book. Features Covers introductory and advanced material. Advanced material includes lists, dictionaries, tuples, arrays, plotting using Matplotlib, object-oriented programming Suitable as a textbook for advanced undergraduates or postgraduates, or as a reference for researchers and professionals Solutions manual, code, and additional examples are available for download

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

Download or read book Python for Beginners written by Kuldeep Singh Kaswan and published by CRC Press. This book was released on 2023-03-17 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python is an amazing programming language. It can be applied to almost any programming task. It allows for rapid development and debugging. Getting started with Python is like learning any new skill: it’s important to find a resource you connect with to guide your learning. Luckily, there’s no shortage of excellent books that can help you learn both the basic concepts of programming and the specifics of programming in Python. With the abundance of resources, it can be difficult to identify which book would be best for your situation. Python for Beginners is a concise single point of reference for all material on python. Provides concise, need-to-know information on Python types and statements, special method names, built-in functions and exceptions, commonly used standard library modules, and other prominent Python tools Offers practical advice for each major area of development with both Python 3.x and Python 2.x Based on the latest research in cognitive science and learning theory Helps the reader learn how to write effective, idiomatic Python code by leveraging its best—and possibly most neglected—features This book focuses on enthusiastic research aspirants who work on scripting languages for automating the modules and tools, development of web applications, handling big data, complex calculations, workflow creation, rapid prototyping, and other software development purposes. It also targets graduates, postgraduates in computer science, information technology, academicians, practitioners, and research scholars.

Download or read book Programming in Two Semesters written by Quentin Charatan and published by Springer Nature. This book was released on 2022-10-01 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This highly accessible textbook teaches programming from first principles. In common with many programming courses, it uses Python as the introductory programming language before going on to use Java as the vehicle for more advanced programming concepts. The first part, which teaches Python, covers fundamental programming concepts, such as data types and control structures and functions. It introduces more complex data types such as lists and dictionaries and also deals with file handling. It introduces object-oriented concepts and ends with a case study bringing together all the topics of the first semester. The second part uses Java to teach advanced concepts and centres around object-oriented programming, teaching key object-oriented concepts such as inheritance and polymorphism. The semester again ends with an advanced case study bringing together all the topics of the second semester. Topics and features: Assumes no prior knowledge, and makes the transition from Python to Java a smooth process Features numerous exercises and also an illustrative case study for each language Examines procedural and object-oriented methodologies, as well as design principles Covers such advanced topics as interfaces and lambda expressions, exceptions and Collections Includes a chapter on graphics programming in Python using Tkinter Introduces the latest Java technology for graphical interfaces, JavaFX Explains design concepts using UML notation Offering a gentle introduction to the field and assuming no prerequisite background, Programming in Two Semesters is the ideal companion to undergraduate modules in software development or programming. In addition, it will serve as a strong primer for professionals looking to strengthen their knowledge of programming with these languages.

Download or read book Python Crash Course 3rd Edition written by Eric Matthes and published by No Starch Press. This book was released on 2023-01-10 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Python Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date! Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time. You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online. As you work through the book, you’ll learn how to: Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and Django Make increasingly complex 2D games that respond to keypresses and mouse clicks Generate interactive data visualizations using a variety of datasets Build apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problems New to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django. If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer? Start your engines and code! Covers Python 3.x

Download or read book Learning Professional Python written by Usharani Bhimavarapu and published by CRC Press. This book was released on 2023-10-16 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 2 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills. Learning Professional Python: Volume 2 Objectives Become familiar with the features of Python programming language Introduce the object-oriented programming concepts Discover how to write Python code by following the object-oriented programming concepts Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages Learn the Python generics and collections Develop exception handling and the multithreaded applications Design graphical user interface (GUI) applications

Download or read book Handbook of Computer Programming with Python written by Dimitrios Xanthidis and published by CRC Press. This book was released on 2022-12-12 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides a hands-on experience based on the underlying topics, and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python. Key Features: • Discusses concepts such as basic programming principles, OOP principles, database programming, GUI programming, application development, data analytics and visualization, statistical analysis, virtual reality, data structures and algorithms, machine learning, and deep learning. • Provides the code and the output for all the concepts discussed. • Includes a case study at the end of each chapter. This handbook will benefit students of computer science, information systems, and information technology, or anyone who is involved in computer programming (entry-to-intermediate level), data analytics, HCI-GUI, and related disciplines.

Download or read book Mastering SciPy written by Francisco J. Blanco-Silva and published by Packt Publishing Ltd. This book was released on 2015-11-10 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement state-of-the-art techniques to visualize solutions to challenging problems in scientific computing, with the use of the SciPy stack About This Book Master the theory and algorithms behind numerical recipes and how they can be applied to real-world problems Learn to combine the most appropriate built-in functions from the SciPy stack by understanding the connection between the sources of your problem, volume of data, or computer architecture A comprehensive coverage of all the mathematical techniques needed to solve the presented topics, with a discussion of the relevant algorithms built in the SciPy stack Who This Book Is For If you are a mathematician, engineer, or computer scientist with a proficiency in Python and familiarity with IPython, this is the book for you. Some basic knowledge of numerical methods in scientific computing would be helpful. What You Will Learn Master relevant algorithms used in symbolic or numerical mathematics to address approximation, interpolation, differentiation, integration, root-finding, and optimization of scalar or multi-variate functions Develop different algorithms and strategies to efficiently store and manipulate large matrices of data, in particular to solve systems of linear equations, or compute their eigenvalues/eigenvectors Understand how to model physical problems with systems of differential equations and distinguish the factors that dictate the strategies to solve them Perform statistical analysis, hypothesis test design and resolution, or data mining at a higher level, and apply them to real-life problems in the field of data analysis Gain insights on the power of distances, Delaunay triangulations and Voronoi diagrams for Computational Geometry, and apply them to various engineering problems Familiarize yourself with different techniques in signal/image processing, including filtering audio, images, or video to extract information, features, or remove components In Detail The SciPy stack is a collection of open source libraries of the powerful scripting language Python, together with its interactive shells. This environment offers a cutting-edge platform for numerical computation, programming, visualization and publishing, and is used by some of the world's leading mathematicians, scientists, and engineers. It works on any operating system that supports Python and is very easy to install, and completely free of charge! It can effectively transform into a data-processing and system-prototyping environment, directly rivalling MATLAB and Octave. This book goes beyond a mere description of the different built-in functions coded in the libraries from the SciPy stack. It presents you with a solid mathematical and computational background to help you identify the right tools for each problem in scientific computing and visualization. You will gain an insight into the best practices with numerical methods depending on the amount or type of data, properties of the mathematical tools employed, or computer architecture, among other factors. The book kicks off with a concise exploration of the basics of numerical linear algebra and graph theory for the treatment of problems that handle large data sets or matrices. In the subsequent chapters, you will delve into the depths of algorithms in symbolic algebra and numerical analysis to address modeling/simulation of various real-world problems with functions (through interpolation, approximation, or creation of systems of differential equations), and extract their representing features (zeros, extrema, integration or differentiation). Lastly, you will move on to advanced concepts of data analysis, image/signal processing, and computational geometry. Style and approach Packed with real-world examples, this book explores the mathematical techniques needed to solve the presented topics, and focuses on the algorithms built in the SciPy stack.