Digital library
Textbooks, references and open learning resources.
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Introduction to MIPS Assembly Language Programming
Charles Kann · Charles W. Kann III · 2016
This book was written to introduce students to assembly language programming in MIPS. As with all assemblylanguage programming texts, it covers basic operators and instructions, subprogram calling, loading andstoring memory, program control, and the conversion of the assembly language program into machine code. However this book was not written simply as a book on assembly language programming. The larger purposeof this text is to show how concepts in Higher Level Languages (HLL), such as Java or C/C++, arerepresented in assembly. By showing how program constructs from these HLL map into assembly, theconcepts will be easier to understand and use when the programmer implements programs in languages likeJava or C/C++. Concepts such as references and variables, registers, binary and Boolean operations, subprogram execution, memory types (heap, stack, and static), and array processing are covered to clarify thedecisions made when implementing HLL. Program control is presented using a mapping from structuredprograms in pseudo code to help students understand structured programming, and why it exists. Memoryaccess in assembly is presented to high light the difference between references (pointers) and values, and howthese impact HLL. This book has numerous code examples, and many problems at the end of each chapter, and it is appropriate for a class in Assembly Language, or as a extra resource for a class in Computer Organization.
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Squeak by Example
Andrew Black; Stéphane Ducasse; Oscar Nierstrasz; Damien Pollet · University of Bern · 2009
Squeak is a modern open-source development environment for the classic Smalltalk-80 programming language. Despite being the first purely object-oriented language and environment, Smalltalk is in many ways still far ahead of its successors in promoting a vision of an environment where everything is an object, and anything can change at run-time. Squeak by Example, intended for both students and developers, will guide you gently through the Squeak language and environment by means of a series of examples and exercises. The book helps you get started with A Quick Tour of Squeak and guides you through A First Application. The Smalltalk language is introduced in three chapters on Syntax in a Nutshell, Understanding Message Syntax and The Smalltalk Object Model. Development with Squeak is covered in The Squeak Programming Environment and SUnit. Several of the key classes are presented in chapters on Basic Classes, Collections, Streams and Morphic. The first edition of the book concludes with chapters on Classes and Metaclasses and Frequently Asked Questions.
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Think Complexity: Exploring Complexity Science with Python
Allen Downey · Green Tea Press · 2018
Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. Whether you're an intermediate-level Python programmer or a student of computational modeling, you'll delve into examples of complex systems through a series of worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.
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Think Stats: Probability and Statistics for Programmers
Allen Downey · Green Tea Press · 2014
Think Stats is an introduction to Probability and Statistics for Python programmers. Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.
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Think Java: How To Think Like a Computer Scientist
Chris Mayfield; Allen Downey · Green Tea Press · 2020
Think Java is a hands-on introduction to computer science and programming used by many universities and high schools around the world. Its conciseness, emphasis on vocabulary, and informal tone make it particularly appealing for readers with little or no experience. The book starts with the most basic programming concepts and gradually works its way to advanced object-oriented techniques. In this fully updated and expanded edition, authors Allen Downey and Chris Mayfield introduce programming as a means for solving interesting problems. Each chapter presents material for one week of a college course and includes exercises to help you practice what you’ve learned. Along the way, you’ll see nearly every topic required for the AP Computer Science A exam and Java SE Programmer I certification.
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Introduction to the Modeling and Analysis of Complex Systems
Hiroki Sayama · Open SUNY · 2015
Introduction to the Modeling and Analysis of Complex Systems introduces students to mathematical/computational modeling and analysis developed in the emerging interdisciplinary field of Complex Systems Science. Complex systems are systems made of a large number of microscopic components interacting with each other in nontrivial ways. Many real-world systems can be understood as complex systems, where critically important information resides in the relationships between the parts and not necessarily within the parts themselves. This textbook offers an accessible yet technically-oriented introduction to the modeling and analysis of complex systems. The topics covered include: fundamentals of modeling, basics of dynamical systems, discrete-time models, continuous-time models, bifurcations, chaos, cellular automata, continuous field models, static networks, dynamic networks, and agent-based models. Most of these topics are discussed in two chapters, one focusing on computational modeling and the other on mathematical analysis. This unique approach provides a comprehensive view of related concepts and techniques, and allows readers and instructors to flexibly choose relevant materials based on their objectives and needs. Python sample codes are provided for each modeling example.
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Physical Modeling in MATLAB
Allen Downey · Green Tea Press · 2021
Modeling and simulation are powerful tools for explaining the world, making predictions, designing things that work, and making them work better. Learning to use these tools can be difficult; this book is my attempt to make the experience as enjoyable and productive as possible. By reading this book — and working on the exercises — you will learn some programming, some modeling, and some simulation: With basic programming skills, you can create models for a wide range of physical systems. My goal is to help you develop these skills in a way you can apply immediately to real-world problems. This book presents the entire modeling process, including model selection, analysis, simulation, and validation. I explain this process in Chapter 1, and there are examples throughout the book. Simulation is an approach to modeling that uses computer programs to implement models and generate predictions. This book shows how simulations are used to run experiments, answer questions, and guide decision-making.
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Think Python: How to Think Like a Computer Scientist
Allen Downey · Green Tea Press · 2012
Think Python is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. This textbook has been used in classes at Bard College, Olin College of Engineering, University of California, Santa Barbara, University of Maine, University of Northern Colorado.
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Introduction to Python Programming
Udayan Das; Aubrey Lawson; Chris Mayfield; Narges Norouzi · OpenStax, Rice University
Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing computer science, business, science, social science, statistics, data science, and related areas of study and employment. Introduction to Python Programming is an interactive offering that teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities. The resource includes a unique, integrated code runner through which students can immediately apply what they learn to check their understanding. Embedded videos, critical thinking exercises, and explorations of external programming tools and activities all contribute to a meaningful and supportive learning experience.
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Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning.
Lady Mariuxi Sangacha-Tapia; Ricardo Javier Celi; Ivan Leonel Acosta-Guzmán; Eleanor Alexandra Varela-Tapia · Editorial Grupo AEA · 2024
Este libro refleja el trabajo realizado bajo investigación entre docentes investigadores con el afán de que sea útil al lector, el uso de predicciones al momento de entrenar un algoritmo clasificado de texto en procesamiento de lenguaje natural (PLN) basado en machine learning. Conformado de 4 capítulos con la utilidad para el inicio al mundo de la IA de la rama de procesamiento de lenguaje natural con Python en machine learning. El Capítulo 1 menciona conceptos y la evolución de las diferentes ramas de conocimiento que abarca la inteligencia artificial (AI), el entendimiento del NLP, machine learning, tipos de aprendizaje para resolver problemas como el supervisado, no supervisado y refuerzo. Capítulo 2 se profundiza el NLP conociendo los contenidos básicos de clasificación como: Las técnicas y diseño de LSTM, tokeización, stopword, lematización, bag of Word (part of speech tagging). Capítulo 3 es la estructuración de este capítulo el conocer las definiciones de los modelos de aprendizaje supervisado que son útiles en NLP orientado a la clasificación de texto. Capítulo 4 un caso de predicción o grado de asertividad del modelamiento de un algoritmo, la intención es demostrar la utilización de un modelo y varias técnicas aplicando NLP basado en machine learning.
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Ingeniería del Software I: Requerimientos y Modelado del Software
Ricardo Javier Celi-Párraga; Miguel Fabricio Boné-Andrade; Aldo Patricio Mora-Olivero; Juan Carlos Sarmiento-Saavedra · Editorial Grupo AEA · 2023
En este libro se investigó los fundamentos de la ingeniería del software y se documentó los conceptos básicos del software y los procesos para la creación de software, se documentó también cómo llevar a cabo un análisis de requerimientos de software, cuáles son los tipos de requerimientos, cómo obtenerlos, documentarlos, validarlos y modelarlos mediante diferentes tipos de diagramas. Este libro tiene como objetivo aplicar los conceptos y teorías de administración para la creación de software de calidad mediante las diferentes metodologías, técnicas y herramientas de la ingeniería del software para que el profesional de sistemas informáticos sea capaz de gestionar con eficiencia y en ambientes éticos y de responsabilidad proyectos inmersos en la creación software. Se investigó varios libros llegando a realizar un compendio de las partes más importantes y se llegó a la conclusión de que la ingeniería del software proporciona varias metodologías para el desarrollo del software y varios modelos para el diseño de software que el profesional puede utilizar dependiendo las diferentes necesidades o las diferentes situaciones o proyectos a desarrollar.
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Programación Web del Frontend al Backend
Ricardo Javier Celí Párraga; Miguel Fabricio Boné Andrade; Aldo Patricio Mora Olivero · Editorial Grupo AEA · 2023
En este libro se investigó los fundamentos de la programación web, así como las tecnologías esenciales para lograr crear aplicaciones web, tales como HTML y CSS. Se documentó los conceptos básicos de la programación Frontend utilizando el lenguaje de programación JavaScript, se documentó también los conceptos de la programación Backend utilizando el lenguaje de programación PHP. Este libro tiene como objetivo involucrarse en la programación web iniciando con el estudio del Frontend hasta el Backend con los conceptos básicos, códigos y ejemplos, utilizando tecnologías de programación gratuitas accesibles para cualquier estudiante, para llegar a crear aplicaciones dinámicas con acceso a base de datos. Como resultado se obtuvo que se puede llegar a crear aplicaciones web complejas utilizando tecnologías actuales gratuitas, con un diseño agradable, diseñándolo fácilmente con un Framework CSS como Bootstrap, y utilizando JQuery como una librería para crear rápidamente aplicaciones con JavaScript. Se utilizó además PHP por ser uno de los lenguajes más utilizados para crear aplicaciones conectadas a bases de datos MySQL.
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Microprocesadores Fundamentos y Aplicaciones
Carlos Valdivieso; Ronald Solís · LATIn Project · 2018
Este trabajo ha sido desarrollado gracias a la interacción como docente universitario en la enseñanza teórica y práctica de la materia de microprocesadores con diversos grupos de estudiantes por alrededor de 15 años. Es con sus exigencias, cuestionamientos y colaboraciones con sus proyectos prácticos implementados en los cursos dictados, que se ha podido construir una guía comprensiva, que trate de responder de una forma adecuada las múltiples dudas de los estudiantes en su proceso de aprendizaje. La disponibilidad de tiempo en el aula de clase muchas veces no es suficiente para responder las inquietudes de los estudiantes; así que, se espera que con este trabajo se contribuya a proporcionar al lector un cúmulo de información que le ayuden de una manera práctica y escalonada a comprender la base teórica de los microprocesadores de Intel y sus derivados (capítulos 1 al 15), con implementaciones prácticas básicas (capítulo 16). Al final se citan libros de referencia que pueden consultarse para profundizar los temas tratados.
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Computer Networks - A Systems Approach
Peterson and Davie · LibreTexts
In the contents: 3.02: Basic Internetworking
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Introduction to Computer Graphics
David J. Eck · Hobart and William Smith Colleges
In the contents: 5.01: Three.js Basics · 10.01: Blender Basics
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Squeak by Example
Andrew P. Black, Stéphane Ducasse, Oscar Nierstrasz, Damien Pollet · LibreTexts
In the contents: 08: Basic Classes
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Linux - The Penguin Marches On
Patrick McClanahan · San Joaquin Delta College
In the contents: 2.06: Let's Look at the Basics · 2.07: File Basics more Later
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Open Data Structures - An Introduction
Pat Morin · Carleton University
In the contents: 4.01: The Basic Structure · 6.01: BinaryTree - A Basic Binary Tree
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Programming for the Web - From Soup to Nuts - Implementing a Complete GIS Web Page
Charles W. Kann III · Gettysburg College
In the contents: 5.03: Basic Objects in JavaScript
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Deep into Pharo
Alexandre Bergel, Damien Cassou, Stéphane Ducasse, Jannik Laval · LibreTexts
In the contents: 3.01: Basic Concepts · 6.02: Basic Usage · 13.01: Basics