Download or read book Spectrum Machine Language for the Absolute Beginner written by William Tang and published by Andrews UK Limited. This book was released on 2022-03-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1982, William Tang’s Spectrum Machine Language for the Absolute Beginner is generally considered to be the best introduction to 8-bit machine code programming ever written. With many great game writers crediting this as the book that got them started, there still is no better way to learn the language at the heart of the ZX Spectrum. * * * As the original publisher Melbourne House wrote: If you are frustrated by the limitations of BASIC and want to write faster, more powerful, space-saving programs or subroutines, Spectrum Machine Language for the Absolute Beginner is the book for you. Even with no previous experience of computer languages, you will be able to discover the ease and power of the Spectrum's own language. Each chapter includes specific examples of machine language applications which can be demonstrated and used on your Spectrum as well as a self-test questionnaire. At the end of the book, all this is brought together in an entire machine language program - from design right through to the complete listing of an exciting, original arcade game. * * * Acorn Books is proud to present its Retro Reproduction Series, a collection of classic computing works from the 1980s and 90s, lovingly reproduced in the 21st century. From standards of programming reference no self-respecting microcomputer programmer would be without, to obscure works not found in print anywhere else, these modern reprints are perfect for any connoisseur of retro computing.
Download or read book Dragon Machine Language For The Absolute Beginner written by John Vander Reyden and published by . This book was released on 2022-03-03 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1983, this easy-to-follow guide to using machine language on the Dragon 32 gave users an excellent insight into the acclaimed machine that many considered well ahead of its time. Though it was more powerful and quicker than many of its competitors, the Dragon 32 never gained the success of other 8-bit computers of the day such as the Commodore 64 or the ZX Spectrum. Despite this, the classic machine still retains a dedicated following to this day. Not only is this remastered version perfect for hobbyists and collectors, it is also a highly useful resource for those interested in programming retro games and utilities. * * * As the original publisher Melbourne House wrote: Write faster, more powerful space saving programs for your Dragon. Written exclusively for Dragon users, Dragon Machine Language for the Absolute Beginner offers a complete instruction course in 6809 Machine Language, with particular reference to the Dragon 32. Even with no previous experience of computer languages, the easy-to-understand 'no jargon' format of this book will enable you to discover the power of the Dragon's own language. After introducing you to machine language and the 6809 instruction set, the book provides you with a series of short test programs which are designed to demonstrate all the Dragon's machine language instructions. These programs illustrate the use of the various instructions, their effects and actions, and will enable you to gain a practical understanding of machine language. You are encouraged to develop routines with all the instructions in order to become familiar with the 6809's instructions as well as gaining experience in writing short machine language routines. In addition to learning machine language, there are sample programs designed to demonstrate the power and potential of machine language in extracting the most from your Dragon. You will find that these programs contain routines that you can use when writing your own programs. In logical steps the book takes you through a comprehensive course in machine language, including understanding assembly language, designing and writing your own programs and a thorough grounding in the purpose and use of each of the instructions in the 6809 Instruction Set. * * * Acorn Books is proud to present its Retro Reproductions series, a collection of classic computing works from the 80s and 90s given a new lease of life in the 21st century. From standards of programming reference no self-respecting microcomputer coder would be without, to obscure works unavailable for many years, these modern re-prints are perfect for any connoisseur of retro computing.
Download or read book Commodore 64 Machine Language for the Absolute Beginner written by Danny Davis and published by . This book was released on 1984 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Second Book of Machine Language written by Richard Mansfield and published by . This book was released on 1984 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides Programming Techniques With Step-by-Step Explanations for the Commodore 64, Atari, Vic 20, Pet-CBM & Apple Computers
Download or read book Machine Language for Beginners written by Richard Mansfield and published by Compute! Publications. This book was released on 1983 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the Beginner to Machine Code. Includes Utilities, An Assembler & a Disassembler
Download or read book Atari 130XE Machine Language for the Absolute Beginner written by Kevin Bergin and published by Retro Reproductions. This book was released on 2020-09-03 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Atari 130XE Machine Language for the Absolute Beginner offers complete instruction in 6502 machine language. Each chapter includes specific examples of machine language applications which can be demonstrated and used on your own Atari 130XE.
Download or read book Classic Computer Science Problems in Java written by David Kopec and published by Simon and Schuster. This book was released on 2020-12-21 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. Summary Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You’ll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. 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! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Whatever software development problem you’re facing, odds are someone has already uncovered a solution. This book collects the most useful solutions devised, guiding you through a variety of challenges and tried-and-true problem-solving techniques. The principles and algorithms presented here are guaranteed to save you countless hours in project after project. About the book Classic Computer Science Problems in Java is a master class in computer programming designed around 55 exercises that have been used in computer science classrooms for years. You’ll work through hands-on examples as you explore core algorithms, constraint problems, AI applications, and much more. What's inside Recursion, memoization, and bit manipulation Search, graph, and genetic algorithms Constraint-satisfaction problems K-means clustering, neural networks, and adversarial search About the reader For intermediate Java programmers. About the author David Kopec is an assistant professor of Computer Science and Innovation at Champlain College in Burlington, Vermont. Table of Contents 1 Small problems 2 Search problems 3 Constraint-satisfaction problems 4 Graph problems 5 Genetic algorithms 6 K-means clustering 7 Fairly simple neural networks 8 Adversarial search 9 Miscellaneous problems 10 Interview with Brian Goetz
Download or read book Python Machine Learning for Beginners written by Leonard Deep and published by . This book was released on 2019-05-13 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you interested to get into the programming world? Do you want to learn and understand Python and Machine Learning? Python Machine Learning for Beginners is the guide for you. Python Machine Learning for Beginners is the ultimate guide for beginners looking to learn and understand how Python programming works. Python Machine Learning for Beginners is split up into easy to learn chapters that will help guide the readers through the early stages of Python programming. It's this thought out and systematic approach to learning which makes Python Machine Learning for Beginners such a sought-after resource for those that want to learn about Python programming and about Machine Learning using an object-oriented programming approach. Inside Python Machine Learning for Beginners you will discover: An introduction to Machine Learning The main concepts of Machine Learning The basics of Python for beginners Machine Learning with Python Data Processing, Analysis, and Visualizations Case studies and much more! Throughout the book, you will learn the basic concepts behind Python programming which is designed to introduce you to Python programming. You will learn about getting started, the keywords and statements, data types and type conversion. Along with different examples, there are also exercises to help ensure that the information sinks in. You will find this book an invaluable tool for starting and mastering Machine Learning using Python. Once you complete Python Machine Learning for Beginners, you will be more than prepared to take on any Python programming. Scroll back up to the top of this page and hit BUY IT NOW to get your copy of Python Machine Learning for Beginners! You won't regret it!
Download or read book Crafting Interpreters written by Robert Nystrom and published by Genever Benning. This book was released on 2021-07-27 with total page 1021 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.
Download or read book Python Machine Learning written by Brady Ellison and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Ready to discover the Machine Learning world? Machine learning paves the path into the future and it’s powered by Python. All industries can benefit from machine learning and artificial intelligence whether we’re talking about private businesses, healthcare, infrastructure, banking, or social media. What exactly does it do for us and what does a machine learning specialist do? Machine learning professionals create and implement special algorithms that can learn from existing data to make an accurate prediction on new never before seen data. Python Machine Learning presents you a step-by-step guide on how to create machine learning models that lead to valuable results. The book focuses on machine learning theory as much as practical examples. You will learn how to analyse data, use visualization methods, implement regression and classification models, and how to harness the power of neural networks. By purchasing this book, your machine learning journey becomes a lot easier. While a minimal level of Python programming is recommended, the algorithms and techniques are explained in such a way that you don’t need to be intimidated by mathematics. The Topics Covered Include: Machine learning fundamentals How to set up the development environment How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy How to explore data How to solve regression and classification problems Decision trees k-means clustering Feed-forward and recurrent neural networks Get your copy now
Download or read book Machine Language for the Commodore 64 128 and Other Commodore Computers written by Jim Butterfield and published by . This book was released on 1986 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computer Programming for Beginners written by Kevin Cooper and published by Independently Published. This book was released on 2019-12-12 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you ready to chart a new course in your programming career? Are you ready but don't know where to begin? Do not worry, because these books give you the fundamentals of programming languages. This guide is what you need to learn to program easily and quickly from an expert with over 10+ years' experience. All you need is a bit of patience and planning. The books cover topics such as: The Complete Introduction Guide for Learning the Basics of C, C#, C++, SQL, JAVA, JAVASCRIPT, PHP, and PYTHON The concepts of different programming languages Variables of the different programming language Where the language is applicable in our today world What are the things you need to know about artificial intelligence? How you can start with machine learning and Why you need to understand the fundamentals; the jars of machine learning and how many they are; what the roadmaps to machine learning are What the types of machine learning are, and what their impacts are to amplify various elements of business operations In addition a book explains Python in detail with the help of detailed coding examples that are usually not available in Python beginner-level books and that will make your journey easier. Python is a robust programming language and supports both functional and object-oriented concepts. We took a lot of care and we tried to explain a lot of concepts that are important for the success of an entry-level programmer. Along with all these basic concepts, we have tried to give some practical examples which can help the reader understand the concepts better. We will discuss in detail the best parts of the book: Brief history of Python and different development environments available Detailed reading about conditionals and loops along with programming code Functions, modules, and object-oriented programming in detail The books are well arranged for easy understanding. Don't forget to brush up your knowledge by going through the exercise pages. So what are you waiting for? Let the programming begin! Invest in your future! Click the "Buy Now" button at the top of this page and get your copy of "Computer Programming for Beginners" now!
Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Download or read book Tanmay Teaches Julia for Beginners A Springboard to Machine Learning for All Ages written by Tanmay Bakshi and published by McGraw Hill Professional. This book was released on 2019-12-06 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A quick guide to start writing your own fun and useful Julia apps—no prior experience required! This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python. Inside, you’ll learn to: • Set up and configure your Julia environment • Get up and running writing your own Julia apps • Define variables and use them in your programs • Use conditions, iterations, for-loops, and while-loops • Create, go through, and modify arrays • Build an app to manage things you lend and get back from your friends • Create and utilize dictionaries • Simplify maintenance of your code using functions • Apply functions on arrays and use functions recursively and generically • Understand and program basic machine learning apps
Download or read book Usborne Introduction to Machine Code for Beginners written by Lisa Watts and published by . This book was released on 1983 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: A brief step-by-step guide to learning to program in machine code. Written for computers with a Z80 or 6502 microprocessor.
Download or read book Assembly Language Programming with the Commodore 64 written by Marvin L. De Jong and published by Brady. This book was released on 1984 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains how the Commodore 64 home computer works, looks at program writing, data transfer, logic and arithmetic operations, loops, sound generation, and graphics, and introduces assembly language
Download or read book One Hundred Twenty Eight Machine Language for Beginners written by Richard Mansfield and published by Compute Publications International. This book was released on 1988-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
