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A guide to writing computer programs in BASIC for absulute beginners BASIC is the language used on most home computers. It is a way of writing instructions for a computer in a form the computer can understand.
An Introduction to Computer Networks is a free and open general-purpose computer-networking textbook, complete with diagrams and exercises. It covers the LAN, internetworking and transport layers, focusing primarily on TCP/IP. Particular attention is paid to congestion; other special topics include queuing, real-time traffic, network management, security and the ns simulator.
This textbook covers the traditional introductory Computer Science I topics but takes a unique approach. Topics are covered in a language-agnostic manner in the first part with supplemental parts that cover the same concepts in a specific language. The current version covers C, Java, and PHP. This textbook as been used in several Computer Science I sections over multiple years at the University of Nebraska-Lincoln
This is the only book that takes you extensively through the entire learning process of the 3D Modelling and Animation software: Blender. It will be showing you the tools and techniques professional animators use to create everything from simple animated animated particle effects to complex character animation for Web sites, video, film, and other multimedia formats.
Get a comprehensive overview on how to set up and design an effective database with MySQL. This thoroughly updated edition covers MySQL's latest version, including its most important aspects.
This book is insightful and fascinating, a superbly observed picture of the motives, divisions and history of the free software and software freedom world.
Producing Open Source Software is a book about the human side of open source development. It describes how successful projects operate, the expectations of users and developers, and the culture of free software.
Information Systems: A Manager's Guide to Harnessing Technology is intended for use in undergraduate and/or graduate courses in Management Information Systems and Information Technology.
he goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
Software and Skills is designed to flexibly support a range of courses covering computer literacy, Microsoft Office, and Google Suite applications. The textbook covers both hard and soft skills that are applicable to a broad range of academic majors and careers.
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 95,000 words on the topic, with a 3-400 item bibliography.
Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application start-up times—a huge leap forward in byte-addressable capacity compared with current DRAM offerings.
Suppose you want to build a computer network, one that has the potential to grow to global proportions and to support applications as diverse as teleconferencing, video on demand, electronic commerce, distributed computing, and digital libraries.
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 open textbook aims to fill the gap between the open-source implementations and the open-source network specifications by providing a detailed but pedagogical description of the key principles that guide the operation of the Internet.
Programming Languages: Application and Interpretation is a free programming language textbook by Shriram Krishnamurthi. It is in use at over 30 universities, in several high-schools.
This tutorial provides you the basic understanding of software product, software design and development process, software project management and design complexities. At the end of the tutorial you should be equipped with well understanding of software engineering concepts.
Testing is the process of evaluating a system or its component(s) with the intent to find whether it satisfies the specified requirements or not. Testing is executing a system in order to identify any gaps, errors, or missing requirements in contrary to the actual requirements. This tutorial will give you a basic understanding on software testing, its types, methods, levels, and other related terminologies.
This book is intended for school students and others learning to program in Visual Basic. It assumes no prior knowledge of programming, electronics, Visual Basic or the Visual Studio environment. Programming concepts are introduced and explained throughout the book.
This introduction to computer programming with Python begins with some of the basics of computing and programming before diving into the fundamental elements and building blocks of computer programs in Python language. From the installation of Python, Python interactive programming, and integrated development environments to raising and handling exceptions, using compound data types to solve problems, and implement divide-and-conquer processes using functions, classes and modules, this textbook will set students up for success in programming and computing study and practice. The included exercises and projects are designed to hone students’ skills.
Computers are the most complex machines that have ever been created. This book will tell you how they work, and no technical knowledge is required. It explains in great detail the operation of a simple but functional computer.
Although transistors are mentioned, relays are used in the example circuitry for simplicity. Did you ever wonder what a bit, a pixel, a latch, a word (of memory), a data bus, an address bus, a memory, a register, a processor, a timing diagram, a clock (of a processor), an instruction, or machine code is?
Coding Theory is concerned with successfully transmitting data through a noisy channel and correcting errors in corrupted messages. This book provides a thoroughly modern introduction to coding theory. There are numerous examples and exercises, some of which introduce students to novel or more advanced material.
Network Coding promises to significantly impact the way communications networks are designed, operated, and understood. The first book to present a unified and intuitive overview of the theory, applications, challenges, and future directions of this emerging field, this is a must-have resource for those working in wireline or wireless networking.
This book offers a primer on reverse-engineering, delving into 'disassembly'-code-level reverse engineering and explaining how to decipher assembly language for those beginners who would like to learn to understand x86 (which accounts for almost all executable software in the world) and ARM code created by C/C++ compilers. It covers x86/x64, ARM/ARM64, MIPS, Java/JVM.
Beginning with a basic primer on reverse engineering-including computer internals, operating systems, and assembly language-and then discussing the various applications of reverse engineering, this book provides readers with practical, in-depth techniques for software reverse engineering.
An insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI. It delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits.
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form.
This is an open source, interactive book provided in a unique form factor that integrates text, mathematics and code, now supports the TensorFlow, PyTorch, and Apache MXNet programming frameworks, drafted entirely through Jupyter notebooks
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.
This is the book that unlocks the secrets of writing superb assembly-language code. It assumes that you're already familiar with assembly language, at least acquainted with the registers and instructions of the 8088, and with the use of one of the popular PC assemblers. We're going to jump into high-performance programming right from the start
The purpose of this book is to give the reader a better understanding of how computers really work at a lower level than in programming languages like Pascal. The tutorial has extensive coverage of interfacing assembly and C code and so might be of interest to C programmers who want to learn about how C works under the hood. All the examples use the free NASM (Netwide) assembler. The tutorial only covers programming under 32-bit protected mode and requires a 32-bit protected mode compiler..
A book covering the fundamentals of operating systems, including virtualization of the CPU and memory, threads and concurrency, and file and storage systems. Written by professors active in the field for 20 years, this text has been developed in the classrooms of the University of Wisconsin-Madison, and has been used in the instruction of thousands of students.
Bootstrap yourself to write an OS from scratch. A book for self-learner.
This book helps you gain the foundational knowledge required to write an operating system from scratch. The book does not try to teach you everything, but enough to enable you to learn by yourself. The book teaches you core concepts, such as x86 Assembly, ELF, linking and debugging on bare metal, etc., but more importantly, where such information come from.
This book deepens your knowledge of problem-solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems!
What Is This Book About? This book is about the disassembly of x86 machine code into human-readable assembly, and the decompilation of x86 assembly code into human-readable C or C++ source code. Some topics covered will be common to all computer architectures, not just x86-compatible machines.
This book uses Linux assembly language to teach new programmers the most important concepts in programming. It takes you a step at a time through these concepts:
How the processor views memory
How the processor operates
How programs interact with the operating system
How computers represent data internally
How to do low-level and high-level optimization
The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). While the provided code and various examples should work under any Linux-based 64-bit OS, they have only been tested under Ubuntu 14.04 LTS (64-bit).
Master the TypeScript language and its latest features. Build enterprise-ready, industrial-strength web applications using TypeScript 3 and modern frameworks, utilize industry best practices in TDD, OOP and UI Design.
The first half of the course covers material on logic, sets, and functions that would often be taught in a course in discrete mathematics. The second part covers material on automata, formal languages, and grammar that would ordinarily be encountered in an upper level course in theoretical computer science.
The idea behind this book is to give an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers and enthusiasts. The Python programming language, the language choice of this book, comes with many freely available powerful modules for handling images, mathematical computing and data mining.
For all readers interested in the basics of computer science. This book teaches you how to read and write mathematical proofs. It provides a survey of basic mathematical objects, notation, and techniques which will be useful in later computer science courses. And, finally, it gives a brief introduction to some key topics in theoretical computer science: algorithm analysis and complexity, automata theory, and computability.
Computer Vision Metrics provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features. This book provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance targets for specific applications.
This book uses broad coverage and clear exposition to present a complete picture of the dynamic computer science field. Accessible to students from all backgrounds, it uses a language-independent context to encourage the development of a practical, realistic understanding of the field.
Analog Computer Fundamentals with an introduction to Matrix Programming Methods
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