Search results for "master multi-paradigm python programming"
Items we need to order for you
Programming Visual Illusions for Everyone
If you find visual illusions fascinating Programming Visual Illusions for Everyone is a book for you. It has some background, some history and some theories about visual illusions, and it describes in some detail twelve illusions. Some are about surfaces, some are about apparent size of objects, some are about colour and some involve movement. This is only one aspect of the book. The other is to show you how you can create these effects on any computer.The book includes a brief introduction to a powerful programming language called Python. No previous experience with programming is necessary. There is also an introduction to a package called PsychoPy that makes it easy to draw on a computer screen. It is perfectly ok if you have never heard the names Python or PsychoPy before. Python is a modern and easy-to-read language, and PsychoPy takes care of all the graphical aspects of drawing on a screen and also interacting with a computer. By the way, both Python and PsychoPy are absolutely free. Is this a book about illusions or about programming? It is both!
R 2,015.00
Guide to Distributed Algorithms
The study of distributed algorithms provides the needed background in many real-life applications, such as: distributed real-time systems, wireless sensor networks, mobile ad hoc networks and distributed databases.The main goal of Guide to Distributed Algorithms is to provide a detailed study of the design and analysis methods of distributed algorithms and to supply the implementations of most of the presented algorithms in Python language, which is the unique feature of the book not found in any other contemporary books on distributed computing.Topics and features:Presents comprehensive design methods for distributed algorithmsProvides detailed analysis for the algorithms presentedUses graph templates to demonstrate the working of algorithmsProvides working Python code for most of the algorithms presentedThis unique textbook/study manual can serve as a comprehensive manual of distributed algorithms for Computer Science and non-CS majors as well as practitioners of distributed algorithms in research projects.
R 2,564.00
R 794.00
Java for Programmers
The professional programmer's Deitel® guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI ExercisesChatGPT, Gemini, Claude, PerplexityMultimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, VideoGenerics: Collections, Classes, MethodsFunctional Programming: Lambdas & StreamsJavaFX: GUI, Graphics, MultimediaConcurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-CoreDatabase: JDBC, SQL, SQLiteJava Platform Module System (JPMS)Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web ServicesJShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at deitel@deitel.comJoin the Deitel social media communitiesdeitel.com/linkedinfacebook.com/DeitelFaninstagram.com/DeitelFanx.com/deitelyoutube.com/DeitelTVmastodon.social/@deitelFor source code and updates, visit: deitel.com/javafp5 Reviewer Comments"The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the r
R 1,879.00
Matematicas y Programacion En Python (2* Edicion)
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.
R 990.96
R 763.00
Mathematical Methods using Python
This advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses. Both analytical and computational examples are integrated from its start. Each chapter concludes with a set of problems designed to help students hone their skills in mathematical techniques, computer programming, and numerical analysis. The book places less emphasis on mathematical proofs, and more emphasis on how to use computers for both symbolic and numerical calculations. It contains 182 extensively documented coding examples, based on topics that students will encounter in their advanced courses in Mechanics, Electronics, Optics, Electromagnetism, Quantum Mechanics etc.An introductory chapter gives students a crash course in Python programming and the most often used libraries (SymPy, NumPy, SciPy, Matplotlib). This is followed by chapters dedicated to differentiation, integration, vectors and multiple integration techniques. The next group of chapters covers complex numbers, matrices, vector analysis and vector spaces. Extensive chapters cover ordinary and partial differential equations, followed by chapters on nonlinear systems and on the analysis of experimental data using linear and nonlinear regression techniques, Fourier transforms, binomial and Gaussian distributions. The book is accompanied by a dedicated GitHub website, which contains all codes from the book in the form of ready to run Jupyter notebooks. A detailed solutions manual is also available for instructors using the textbook in their courses.Key Features:A unique teaching approach which merges mathematical methods and the Python programming skills which physicists and engineering students need in their coursesUses examples and models from physical and engineering systems, to motivate the mathematics being taughtStudents learn to solve scientific problems in three different ways: traditional pen-and-paper methods, using scientific numerical techniques with NumPy and SciPy, and using Symbolic Python (SymPy).
R 2,711.00
Programming for Problem Solving
This book provides an introduction to computer programming using Python as a way to solve problems. It focuses on programming concepts and fundamentals within the context of solving real-world problems. This work is licensed under the Creative Commons Attribution-Noncommercial-ShareAlike 4.0 Unported License. Copyright (c) 2018 Lenore Horowitz.
R 498.00
R 641.00
R 2,243.00
Learning OpenCV 5 Computer Vision with Python
Master computer vision with OpenCV 5 and Python 3 by building practical applications for image processing, object detection, tracking, face recognition, machine learning, 3D vision, and cloud computing.Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild powerful computer vision applications in concise code with OpenCV 5 and Python 3Learn the fundamental concepts of image processing, object classification, and 2D and 3D trackingTrain, use, and understand machine learning models, and deploy them in the CloudBook DescriptionComputer vision is a fast-moving field of artificial intelligence, powering applications that need to understand images, video, objects, faces, motion, depth, and 3D environments. Learning OpenCV 5 Computer Vision with Python gives you a practical path to building these systems with OpenCV 5 and Python 3.You will begin by setting up OpenCV, understanding what is new in OpenCV 5, and working with images, video, camera feeds, files, and graphical interfaces. From there, you will learn essential image-processing techniques, depth estimation and segmentation, face detection and recognition, and image retrieval using visual descriptors. As your skills develop, you will build custom object detectors, classify and track moving objects, and explore camera models, augmented reality, 3D reconstruction, and navigation. You will also work with machine learning and neural networks, applying them to practical vision tasks before learning how computer vision solutions can be deployed to the cloud and scaled beyond local experimentation.Throughout the book, hands-on Python examples help you connect core concepts with working implementations. By the end, you will have the practical skills to design, build, and extend real-world computer vision applications with OpenCV 5 across desktop and cloud-based workflows.*Email sign-up and proof of purchase requiredWhat you will learnInstall and familiarize yourself with OpenCV 5's Python 3 bindingsUnderstand image processing and video analysisUse a depth camera to distinguish foreground and background regionsDetect and identify objects, and track their motion in videosTrain and use your own models to match images and classify objectsDetect and recognize faces, and classify their ageBuild augmented reality applications, and navigate the real 3D worldTrain neural networks and deploy them as Cloud-based solutionsWho this book is forThis book is for Python programmers who want to learn computer vision and machine learning with OpenCV 5. It is also suitable for computer vision developers, AI/ML engineers, and practitioners who want to strengthen or refresh their OpenCV skills. No prior computer vision or machine learning experience is required, but readers should be comfortable with basic Python programming.
R 1,628.00
Practical Programming Model for the Multi-Core Era
The Third International Workshop on OpenMP, IWOMP 2007, was held at Beijing,China.This year’sworkshopcontinuedits traditionofbeingthe premier opportunity to learn more about OpenMP, to obtain practical experience and to interact with OpenMP users and developers. The workshop also served as a forum for presenting insights gained by practical experience, as well as research ideas and results related to OpenMP. A total of 28 submissions were received in response to a call for papers. Each submissionwasevaluatedbythreereviewersandadditionalreviewswerereceived for some papers. Based on the feedback received, 22 papers were accepted for inclusion in the proceedings. Of the 22 papers, 14 were accepted as full papers. We also accepted eight short papers, for each of which there was an opportunity to givea shortpresentationat the workshop,followed byposter demonstrations. Each paper was judged according to its originality, innovation, readability, and relevance to the expected audience. Due to the limited scope and time of the workshop and the high number of submissions received, only 50% of the total submissions were able to be included in the ?nal program. In addition to the contributed papers, the IWOMP 2007 program featured several keynote and banquet speakers: Trevor Mudge, Randy Brown, and Shah, Sanjiv. These speakers were selected due to their signi?cant contributions and reputation in the ?eld. A tutorial session and labs were also associated with IWOMP 2007.
R 1,544.04
R 611.00
R 373.00
R 661.00
R 1,098.04
R 1,301.00
R 367.00
Python Programming Guide for GCSE Computer Science (includes Online Edition & Python Files)
This brilliant CGP book is the perfect no-nonsense guide for anyone who wants to learn Python! It's packed with clear, friendly notes on all the essential programming skills - ideal for Python beginners, GCSE Computer Science students, and as an introduction to Python at A-Level.There are also stacks of useful practice questions, fully-explained examples and coding challenges to help you become a Python coding pro in no time, with full answers included at the back of the book - fantastic! We've even added over 250 downloadable files covering different areas of Python - they're just the ticket for anyone looking for practical, on-screen practice. There's also a free Online Edition that lets you read the entire book on a PC, Mac or tablet. Just use the unique code printed inside the cover to gain full access when your Python book arrives.
R 410.00
R 1,464.00
R 531.00
Multi-Agent Programming:
Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. The main focus of the research community has been on the development of concepts (concerning both mental and social attitudes), architectures, techniques, and general approaches to the analysis and specification of multi-agent systems. This contribution has been fragmented, without any clear way of “putting it all together”, rendering it inaccessible to students and young researchers, non-experts, and practitioners. Successful multi-agent systems development is guaranteed only if we can bridge the gap from analysis and design to effective implementation.Multi-Agent Programming: Languages, Tools and Applications presents a number of mature and influential multi-agent programming languages, platforms, development tools and methodologies, and realistic applications, summarizing the state of the art in an accessible manner for professionals and computer science students at all levels.
R 3,326.70
Professional CUDA C Programming
Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming. Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including: CUDA Programming ModelGPU Execution ModelGPU Memory modelStreams, Event and ConcurrencyMulti-GPU ProgrammingCUDA Domain-Specific LibrariesProfiling and Performance Tuning The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.
R 1,368.00
Mastering Blockchain Programming with Solidity
Discover the advanced features of Solidity that will help you write high-quality code and develop secure smart contracts with the latest ERC standardsKey FeaturesDelve into Solidity and understand control structures, function calls, and variable scopesExplore tools for developing, testing, and debugging your blockchain applicationsLearn advanced design patterns and best practices for writing secure smart contractsBook DescriptionSolidity is among the most popular and contract-oriented programming languages used for writing decentralized applications (DApps) on Ethereum blockchain. If you’re looking to perfect your skills in writing professional-grade smart contracts using Solidity, this book can help.You will get started with a detailed introduction to blockchain, smart contracts, and Ethereum, while also gaining useful insights into the Solidity programming language. A dedicated section will then take you through the different Ethereum Request for Comments (ERC) standards, including ERC-20, ERC-223, and ERC-721, and demonstrate how you can choose among these standards while writing smart contracts. As you approach later chapters, you will cover the different smart contracts available for use in libraries such as OpenZeppelin. You’ll also learn to use different open source tools to test, review and improve the quality of your code and make it production-ready. Toward the end of this book, you’ll get to grips with techniques such as adding security to smart contracts, and gain insights into various security considerations. By the end of this book, you will have the skills you need to write secure, production-ready smart contracts in Solidity from scratch for decentralized applications on Ethereum blockchain.What you will learnTest and debug smart contracts with Truffle, Ganache, Remix, and MetaMaskGain insights into maintaining code quality with different toolsGet up to speed with ERC standards such as ERC-20 and ERC-721Become adept at using design patterns while writing smart contractsUse MultiSignature (MultiSig) wallets and improve the security of contractsUse Oracle services to fetch information from outside the blockchainWho this book is forThis book is for developers and data scientists who want to learn Ethereum, blockchain, and Solidity to write smart contracts and develop production-ready code. Basic knowledge of Solidity is assumed.
R 1,498.00
Modern Django Web Development
Django has evolved into a powerful full-stack framework ideal for developing data-driven web applications, continuously expanding with new tools for asynchronous solutions, APIs, and real-time applications. This book explores modern Django development best practices, including Django Channels for WebSockets, Django REST Framework (DRF) for REST APIs, Graphene and Strawberry for GraphQL APIs, and integrating a front-end built with React The content is structured into two main parts, covering both fundamental and advanced concepts in a practical and digestible manner. The first part introduces Django's core concepts, starting with an overview of web development and Python's asyncio module for asynchronous processing. It then walks you through Django installation, project setup, and the admin interface. The Model-View-Template (MVT) architecture is explained in depth, with chapters on models, views, and templates, illustrating real-world examples. Additionally, it covers database interactions, introducing SQLAlchemy ORM and MongoDB integration to extend Django's capabilities beyond its default ORM. The second part delves into advanced Django features and the broader ecosystem. Topics include authentication, security, messaging, and reusable apps such as the Django toolbar. REST API development with Django REST Framework is explored, followed by an introduction to building GraphQL APIs using Graphene and Strawberry. A dedicated chapter covers Django Channels and the WebSocket protocol for real-time applications. Modern Django Web Development concludes with integrating React to develop front-end clients for Django-based REST, GraphQL, and WebSocket APIs, enabling a full-stack development experience. You Will: Explore the full spectrum of modern Django developmentLearn how to use SQLAlchemy MongoDB with DjangoUnderstand Django Channels for asynchronous web appsExplore DRF for building REST API in DjangoLearn how to build GraphQL API with Graphene and StrawberryUnderstand how to develop a Django-React app Who is it for: Software developers, web developers and engineers who are interested in adding Django to their development skillset. Python Developers can also leverage the power of modern Django with the help of this practical guide.
R 1,140.00
R 1,005.57
MCP Standard
Master the art of building feature-rich Model Context Protocol (MCP) servers in TypeScript, by designing decoupled, scalable, and future-proof AI systems that are not locked into a single model vendor. In the world of AI development mired in a chaotic mess of proprietary, incompatible APIs, the Model Context Protocol is the open standard that will become the universal language for AI tools. This book will be your invaluable companion for understanding this solution. The book takes you on a full, hands-on journey through MCP, looking at it not just as a technical specification but also as a way to help AI-native transformation. It first finds the "why", the tool's issue -- and shows how MCP is the only logical solution. After that, the book goes into deep detail about the protocol's architecture, breaking down the roles of the Host, Client, and Server, and giving you a guide to its main language of Tools, Resources, and Prompts. Using the official TypeScript SDK, you will learn how to build a full-featured MCP server from scratch. You will learn best practices for everything from schema design with Zod to adding advanced features like elicitation and server-side sampling. The book is unique in its holistic approach. It doesn't just tell you how to do something; it also has a whole section on production readiness and security that talks about the MCP security model, threat landscapes, and client-side hardening. This book will give developers, architects, and technical leaders not only the tactical skills they need to succeed in the next wave of software development but also the strategic vision they need to do so. By the end of this book, you will not only have learnt how to use the MCP, but you will have gained a deep understanding of MCP in the context of the larger shift from cloud-native to AI-native. You Will Learn To: Master the art of building feature-rich MCP servers in TypeScript, from basic tools to advanced capabilities like elicitation, resource linking, and server-side sampling.Understand the complete MCP architecture and protocol specification, enabling you to debug complex interactions and build custom clients or servers.Implement a robust, multi-layered security strategy for your MCP deployments, including authentication, authorization, and client-side hardening against common threats.Solve the "M x N" integration problem by designing decoupled, scalable, and future-proof AI systems that are not locked into a single model vendor.Gain a strategic understanding of MCP's role in the broader AI-native transformation, which empowers you to make informed architectural decisions for your organization. This Book is For: Software developers, AI engineers, and solutions architects who are creating apps that interface with large language models should read this book.
R 1,368.00
Mastering Predictive Analytics with Python
Exploit the power of data in your business by building advanced predictive modeling applications with PythonAbout This Book• Master open source Python tools to build sophisticated predictive models• Learn to identify the right machine learning algorithm for your problem with this forward-thinking guide• Grasp the major methods of predictive modeling and move beyond the basics to a deeper level of understandingWho This Book Is ForThis book is designed for business analysts, BI analysts, data scientists, or junior level data analysts who are ready to move from a conceptual understanding of advanced analytics to an expert in designing and building advanced analytics solutions using Python. You're expected to have basic development experience with Python.What You Will Learn • Gain an insight into components and design decisions for an analytical application• Master the use Python notebooks for exploratory data analysis and rapid prototyping• Get to grips with applying regression, classification, clustering, and deep learning algorithms• Discover the advanced methods to analyze structured and unstructured data• Find out how to deploy a machine learning model in a production environment• Visualize the performance of models and the insights they produce• Scale your solutions as your data grows using Python• Ensure the robustness of your analytic applications by mastering the best practices of predictive analysisIn DetailThe volume, diversity, and speed of data available has never been greater. Powerful machine learning methods can unlock the value in this information by finding complex relationships and unanticipated trends. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications to deliver insights that are of tremendous value to their organizations.In Mastering Predictive Analytics with Python, you will learn the process of turning raw data into powerful insights. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications and how to quickly apply these methods to your own data to create robust and scalable prediction services.Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates not only how these methods work, but how to implement them in practice. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring the insights of predictive modeling to lifeStyle and approach This book emphasizes on explaining methods through example data and code, showing you templates that you can quickly adapt to your own use cases. It focuses on both a practical application of sophisticated algorithms and the intuitive understanding necessary to apply the correct method to the problem at hand. Through visual examples, it also demonstrates how to
R 1,889.00
Data Structures and Program Design Using Python
Data structures provide a means to managing huge amounts of information such as large databases, using SEO effectively, and creating Internet/Web indexing services. This book is designed to present fundamentals of data structures for beginners using the Python programming language in a friendly, self-teaching, format. Practical analogies using real world applications are integrated throughout the text to explain technical concepts. The book includes a variety of end-of-chapter practice exercises, e.g., programming, theoretical, and multiple-choice.FEATURES:Covers data structure fundamentals using PythonNumerous tips, analogies, and practical applications enhance understanding of subjects under discussion"Frequently Asked Questions" integrated throughout the text clarify and explain conceptsIncludes a variety of end-of-chapter exercises, e.g., programming, theoretical, and multiple choice.
R 1,823.00
Introduction to Digital Music with Python Programming
Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition.With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes.Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code.
R 2,125.92
Non-Programmers Tutorial For Python 2 and 3
This book is a tutorial for the Python 2 and 3 programming language designed for someone with no programming experience. All the examples work in Python 2.6 and Python 3.
R 414.02
Bayesian Programming
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing probability as an alternative to Boolean logic, Bayesian Programming covers new methods to build probabilistic programs for real-world applications. Written by the team who designed and implemented an efficient probabilistic inference engine to interpret Bayesian programs, the book offers many Python examples that are also available on a supplementary website together with an interpreter that allows readers to experiment with this new approach to programming.Principles and Modeling Only requiring a basic foundation in mathematics, the first two parts of the book present a new methodology for building subjective probabilistic models. The authors introduce the principles of Bayesian programming and discuss good practices for probabilistic modeling. Numerous simple examples highlight the application of Bayesian modeling in different fields.Formalism and AlgorithmsThe third part synthesizes existing work on Bayesian inference algorithms since an efficient Bayesian inference engine is needed to automate the probabilistic calculus in Bayesian programs. Many bibliographic references are included for readers who would like more details on the formalism of Bayesian programming, the main probabilistic models, general purpose algorithms for Bayesian inference, and learning problems.FAQsAlong with a glossary, the fourth part contains answers to frequently asked questions. The authors compare Bayesian programming and possibility theories, discuss the computational complexity of Bayesian inference, cover the irreducibility of incompleteness, and address the subjectivist versus objectivist epistemology of probability. The First Steps toward a Bayesian ComputerA new modeling methodology, new inference algorithms, new programming languages, and new hardware are all needed to create a complete Bayesian computing framework. Focusing on the methodology and algorithms, this book describes the first steps toward reaching that goal. It encourages readers to explore emerging areas, such as bio-inspired computing, and develop new programming languages and hardware architectures.
R 2,528.00
R 1,099.00
Learn Robotics Programming
Gain experience of building a next-generation collaboration robotKey FeaturesGet up and running with the fundamentals of robotic programmingProgram a robot using Python and the Raspberry Pi 3Learn to build a smart robot with interactive and AI-enabled behaviorsBook DescriptionWe live in an age where the most difficult human tasks are now automated. Smart and intelligent robots, which will perform different tasks precisely and efficiently, are the requirement of the hour. A combination of Raspberry Pi and Python works perfectly when making these kinds of robots. Learn Robotics Programming starts by introducing you to the basic structure of a robot, along with how to plan, build, and program it. As you make your way through the book, you will gradually progress to adding different outputs and sensors, learning new building skills, and writing code for interesting behaviors with sensors. You'll also be able to update your robot, and set up web, phone, and Wi-Fi connectivity in order to control it. By the end of the book, you will have built a clever robot that can perform basic artificial intelligence (AI) operations.What you will learnConfigure a Raspberry Pi for use in a robotInterface motors and sensors with a Raspberry PiImplement code to make interesting and intelligent robot behaviorsUnderstand the first steps in AI behavior such as speech recognition visual processingControl AI robots using Wi-FiPlan the budget for requirements of robots while choosing partsWho this book is forLearn Robotics Programming is for programmers, developers, and enthusiasts interested in robotics and developing a fully functional robot. No major experience required just some programming knowledge would be sufficient.
R 2,377.00
Kotlin Mastery
Enhance your programming toolkit and build robust applications by mastering Kotlin. This book connects Java and Kotlin through side-by-side code samples and practical demonstrations. Java programmers and up-and-coming developers seeking to learn Kotlin need to do so with confidence. Starting with the fundamentals of basic syntax, this book will cover data types, variables, control flow statements. From there move on to advanced topics like object-oriented programming concepts with null safety, lambdas, functions, inheritance and coroutines. Additionally, you'll delve into practical applications such as designing custom domain-specific languages, working with Kotlin Multiplatform, and leveraging reactive extensions. With numerous hands-on exercises and real-world examples, you'll gain the expertise needed to explore advanced projects. What You Will Learn Explore object-oriented and functional programming with Kotlin to create modular code.Review Kotlin's techniques for error handling and exception management.Implement Kotlin coroutines for efficient concurrency and asynchronous task management.Design custom domain-specific languages and use the Kotlin standard library for string manipulation and file handling. Who This Book is For: Java developers and programmers looking to master Kotlin.
R 1,140.00
![Game Development Using Python [OP]](http://exclusivebooks.co.za/cdn/shop/files/9781683921806.jpg?height=645&pad_color=fff&v=1761187150&width=315)
