Search results for "Master Multi-Paradigm Python Programming"
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GPU Programming with C++ and CUDA
Learn to solve parallel problems with GPU-accelerated C++ code and create reusable libraries that can be accessed from other programming languagesKey FeaturesHarness the power of GPU parallelism to accelerate real-world tasksUtilize CUDA streams and scale performance with custom C++ solutionsCreate reusable GPU libraries and expose them to Python seamlesslyBook DescriptionWritten by Paulo Motta, a senior researcher with decades of experience, this comprehensive GPU programming book is an essential guide for leveraging the power of parallelism to accelerate your computations. The first section introduces the concept of parallelism and provides practical advice on how to think about and utilize it effectively. Starting with a basic GPU program, you then gain hands-on experience in managing the device. This foundational knowledge is then expanded by parallelizing the program to illustrate how GPUs enhance performance.The second section explores GPU architecture and implementation strategies for parallel algorithms, and offers practical insights into optimizing resource usage for efficient execution.In the final section, you will explore advanced topics such as utilizing CUDA streams. You will also learn how to package and distribute GPU-accelerated libraries for the Python ecosystem, extending the reach and impact of your work.Combining expert insight with real-world problem solving, this book is a valuable resource for developers and researchers aiming to harness the full potential of GPU computing. The blend of theoretical foundations, practical programming techniques, and advanced optimization strategies it offers is sure to help you succeed in the fast-evolving field of GPU programming.What you will learnManage GPU devices and accelerate your applicationsApply parallelism effectively using CUDA and C++Choose between existing libraries and custom GPU solutionsPackage GPU code into libraries for use with PythonExplore advanced topics such as CUDA streamsImplement optimization strategies for resource-efficient executionWho this book is forC++ developers and programmers interested in accelerating applications using GPU programming will benefit from this book. It is suitable for those with solid C++ experience who want to explore high-performance computing techniques. Familiarity with operating system fundamentals will help when dealing with device memory and communication in advanced chapters.
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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.
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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.
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Concepts and Semantics of Programming Languages 2
This book – composed of two volumes – explores the syntactical constructs of the most common programming languages, and sheds a mathematical light on their semantics, providing also an accurate presentation of the material aspects that interfere with coding.Concepts and Semantics of Programming Languages 2 presents an original semantic model, collectively taking into account all of the constructs and operations of modules and classes: visibility, import, export, delayed definitions, parameterization by types and values, extensions, etc. The model serves for the study of Ada and OCaml modules, as well as C header files. It can be deployed to model object and class features, and is thus used to describe Java, C++, OCaml and Python classes.This book is intended not only for computer science students and teachers but also seasoned programmers, who will find a guide to reading reference manuals and the foundations of program verification.
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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.
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Programming Languages and Systems
The open access book set LNCS 16501 + LNCS 16502 constitutes the proceedings of the 35th European Symposium on Programming, ESOP 2026, which was held as part of the International Joint Conferences on Theory and Practice of Software, ETAPS 2026, in Turin, Italy, during April 11-16, 2026.The 31 full papers included in the proceedings, together with one invited talk, were carefully reviewed and selected from 94 submissions. They deal with fundamental issues in the specification, design, analysis and implementation of programming languages and systems, such as programming paradigms and styles; methods and tools to write and specify programs and languages; methods and tools for reasoning about programs; programming systems design and implementation.
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Programming with 64-Bit ARM Assembly Language
Mastering ARM hardware architecture opens a world of programming for nearly all phones and tablets including the iPhone/iPad and most Android phones. It’s also the heart of many single board computers like the Raspberry Pi. Gain the skills required to dive into the fundamentals of the ARM hardware architecture with this book and start your own projects while you develop a working knowledge of assembly language for the ARM 64-bit processor.You'll review assembly language programming for the ARM Processor in 64-bit mode and write programs for a number of single board computers, including the Nvidia Jetson Nano and the Raspberry Pi (running 64-bit Linux). The book also discusses how to target assembly language programs for Apple iPhones and iPads along with 64-Bit ARM based Android phones and tablets. It covers all the tools you require, the basics of the ARM hardware architecture, all the groups of ARM 64-Bit Assembly instructions, and how data is stored in the computer’s memory. In addition, interface apps to hardware such as the Raspberry Pi’s GPIO ports. The book covers code optimization, as well as how to inter-operate with C and Python code. Readers will develop enough background to use the official ARM reference documentation for their own projects.With Programming with 64-Bit ARM Assembly Language as your guide you’ll study how to read, reverse engineer and hack machine code, then be able to apply these new skills to study code examples and take control of both your ARM devices’ hardware and software. What You'll LearnMake operating system calls from assembly language and include other software libraries in your projectsInterface apps to hardware devices such as the Raspberry Pi GPIO portsReverse engineer and hack codeUse the official ARM reference documentation for your own projectsWho This Book Is ForSoftware developers who have already learned to program in a higher-level language like Python, Java, C#, or even C and now wish to learn Assembly programming.
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Automatic Generation Of Algorithms
In the rapidly evolving domain of computational problem-solving, this book delves into the cutting-edge Automatic Generation of Algorithms (AGA) paradigm, a groundbreaking approach poised to redefine algorithm design for optimization problems. Spanning combinatorial optimization, machine learning, genetic programming, and beyond, it investigates AGA's transformative capabilities across diverse application areas. The book initiates by introducing fundamental combinatorial optimization concepts and NPhardness significance, laying the foundation for understanding AGA's necessity and potential. It then scrutinizes the pivotal Master Problem concept in AGA and the art of modeling for algorithm generation. The exploration progresses with integrating genetic programming and synergizing AGA with evolutionary computing. Subsequent chapters delve into the AGA-machine learning intersection, highlighting their shared optimization foundation while contrasting divergent objectives. The automatic generation of metaheuristics is examined, aiming to develop versatile algorithmic frameworks adaptable to various optimization problems. Furthermore, the book explores applying reinforcement learning techniques to automatic algorithm generation. Throughout, it invites readers to reimagine algorithmic design boundaries, offering insights into AGA's conceptual underpinnings, practical applications, and future directions, serving as an invitation for researchers, practitioners, and enthusiasts in computer science, operations research, artificial intelligence, and beyond to embark on a journey toward computational excellence where algorithms are born, evolved, and adapted to meet ever-changing real-world problem landscapes.
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Mastering ROS for Robotics Programming
Design, build, and simulate complex robots using the Robot Operating SystemKey FeaturesBecome proficient in ROS programming using C++ with this comprehensive guideBuild complex robot applications using the ROS Noetic Ninjemys release to interface robot manipulators with mobile robotsLearn to interact with aerial robots using ROSBook DescriptionThe Robot Operating System (ROS) is a software framework used for programming complex robots. ROS enables you to develop software for building complex robots without writing code from scratch, saving valuable development time. Mastering ROS for Robotics Programming provides complete coverage of the advanced concepts using easy-to-understand, practical examples and step-by-step explanations of essential concepts that you can apply to your ROS robotics projects. The book begins by helping you get to grips with the basic concepts necessary for programming robots with ROS. You'll then discover how to develop a robot simulation, as well as an actual robot, and understand how to apply high-level capabilities such as navigation and manipulation from scratch. As you advance, you'll learn how to create ROS controllers and plugins and explore ROS's industrial applications and how it interacts with aerial robots. Finally, you'll discover best practices and methods for working with ROS efficiently. By the end of this ROS book, you'll have learned how to create various applications in ROS and build your first ROS robot.What you will learnCreate a robot model with a 7-DOF robotic arm and a differential wheeled mobile robotWork with Gazebo, CoppeliaSim, and Webots robotic simulatorsImplement autonomous navigation in differential drive robots using SLAM and AMCL packagesInteract with and simulate aerial robots using ROSExplore ROS pluginlib, ROS nodelets, and Gazebo pluginsInterface I/O boards such as Arduino, robot sensors, and high-end actuatorsSimulate and perform motion planning for an ABB robot and a universal arm using ROS-IndustrialWork with the motion planning features of a 7-DOF arm using MoveItWho this book is forIf you are a robotics graduate, robotics researcher, or robotics software professional looking to work with ROS, this book is for you. Programmers who want to explore the advanced features of ROS will also find this book useful. Basic knowledge of ROS, GNU/Linux, and C++ programming concepts is necessary to get started with this book.
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Multi-Objective Programming and Goal Programming
Most real-life problems involve making decisions to optimally achieve a number of criteria while satisfying some hard or soft constraints. In this book several methods for solving such problems are presented by the leading experts in the area. The book also contains a number of very interesting application papers which demonstrate theoretical modelling, analysing and solution of real-life problems.
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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.
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Solid Mechanics With Python: Cartesian Coordinates
This book covers the fundamental principles of solid mechanics, focusing on the mechanical behavior of solids in two and three dimensions under various types of loads. The solids are defined in the Cartesian coordinate system and may have specific shapes and constraints.Techniques, including stress methods and displacement methods, for solving solid mechanics problems are explained in detail, formulated, and demonstrated with numerous examples and illustrations. Python is used to derive formulations, find solutions symbolically or numerically, and plot the results graphically.Written in Jupyter notebook format, this useful reference text offers a unified environment for theory description, code execution, and formulation, for easy reading and practicing.
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Mastering Multi-Agent Systems with Azure OpenAI
This book is your definitive guide to building intelligent, autonomous, and collaborative AI systems on the Microsoft ecosystem. It covers the rapid evolution of Agentic AI and multi-agent frameworks, empowering developers, architects, and AI practitioners to design and implement real-world, production-ready multi-agent solutions using Azure OpenAI and emerging protocols such as Model Context Protocol (MCP) and A2A.Starting with the fundamentals of Generative AI, Large Language Models (LLMs), and Agentic AI, you’ll dive into the practical aspects of building agents using Microsoft’s Agent Framework. You’ll learn how to architect, fine-tune, and secure Azure OpenAI services, build structured multi-turn conversations, and develop specialized agents that can communicate, collaborate, and adapt autonomously. The book goes beyond theory by walking you through hands-on, industry-grade projects—such as Smart Travel Agent and Smart Restaurant—to demonstrate how multi-agent systems can transform real-world scenarios. Moving ahead, you will also explore advanced topics like Retrieval-Augmented Generation (RAG), implementing Model Context Protocol for interoperability, and ensuring ethical, responsible AI design.By the end of this book, you’ll not only understand the technical depth of multi-agent architectures but also gain the practical expertise to design, deploy, and scale intelligent, context-aware AI ecosystems on Azure.What You Will Learn:Multiple autonomous agents based Agentic AI solutions using Azure AI and Microsoft Agent FrameworkMulti-Agent collaboration using Model Context Protocol (MCP) and A2ARAG-Enabled Agents using Azure AI Search Best practices and pitfalls to build Agentic AI solutions along with social and ethical considerations.Who This Book Is For:Whether you are a developer, data scientist, or solution architect, this book will help you stay ahead in the rapidly evolving world of Agentic AI.
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Python: Deeper Insights into Machine Learning
Leverage benefits of machine learning techniques using PythonAbout This Book* Improve and optimise machine learning systems using effective strategies.* Develop a strategy to deal with a large amount of data.* Use of Python code for implementing a range of machine learning algorithms and techniques.Who This Book Is ForThis title is for data scientist and researchers who are already into the field of data science and want to see machine learning in action and explore its real-world application. Prior knowledge of Python programming and mathematics is must with basic knowledge of machine learning concepts.What You Will Learn* Learn to write clean and elegant Python code that will optimize the strength of your algorithms* Uncover hidden patterns and structures in data with clustering* Improve accuracy and consistency of results using powerful feature engineering techniques* Gain practical and theoretical understanding of cutting-edge deep learning algorithms* Solve unique tasks by building models* Get grips on the machine learning design processIn DetailMachine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. It is one of the fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project.The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems.The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it's time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems.At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.Style and approachThis course includes all the resources that will help you jump into the data science field with Python. The aim is to walk through the elements of Python covering powerful machine learning libraries. This course will explain important machine learning models in a step-by-step manner. Each topic is well explained with real-world applications with detailed guidance.Through this comprehensive guide, you will be able to explore machine learning techniques.
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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!
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Introduction to Generative AI with Julia and Python
Elevate your coding capabilities and gain the skills necessary for maximized performance and career opportunities in the field of Artificial Intelligence. This book is a step-by-step guide designed to equip software engineers with solid foundation of Generative AI basics. The book begins by introducing Generative AI using Google Colab to establish a solid foundation, before demonstrating how to leverage Python and Julia's AI capabilities to construct Artificial Neural Networks. You'll then explore advanced AI models, such as variational autoencoders, in order to generative images and text. Author Pierluigi Riti not only navigates the complexities of this emerging topic but fills a crucial gap by guiding software engineers through theory before leading them to produce different types of models using only free resources. What You Will Learn Acquire a solid foundation of Generative AI basics.Utilize the capabilities of Python and Julia to constructure Artificial Neural NetworksExplore advanced AI models including variational autoencoders, to generate images Survey different architectures for AI and utilize free resources to produce different AI Who This Book Is For Programmers new to artificial intelligence, but with a fundamental grasp of Python.
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Mastering iOS 12 Programming
Become a professional iOS developer with the most in-depth and advanced guide to Swift, Xcode 10, ARKit, and Core MLKey FeaturesExplore the extensive world of iOS development through practical examplesGain detailed insights into core iOS programming concepts such as app extensions and performanceExtend your iOS apps by adding augmented reality and machine learning capabilitiesBook DescriptionThe iOS development environment has significantly matured, and with Apple users spending more money in the App Store, there are plenty of development opportunities for professional iOS developers. However, the journey to mastering iOS development and the new features of iOS 12 is not straightforward. This book will help you make that transition smoothly and easily. With the help of Swift 4.2, you’ll not only learn how to program for iOS 12, but also how to write efficient, readable, and maintainable Swift code that maintains industry best practices. Mastering iOS 12 Programming will help you build real-world applications and reflect the real-world development flow. You will also find a mix of thorough background information and practical examples, teaching you how to start implementing your newly gained knowledge. By the end of this book, you will have got to grips with building iOS applications that harness advanced techniques and make best use of the latest and greatest features available in iOS 12.What you will learnBuild a professional iOS application using Xcode 10 and Swift 4.2Use AutoLayout to create complex layouts that look great on every deviceDelve into advanced animations with UIViewPropertyAnimator and UIKit DynamicsEnhance your app by using instruments and building your own profiling toolsIntegrate iMessage, Siri, and more in your app through app extensionsTrain and use machine learning models with Core ML 2 and Create MLCreate engaging augmented reality experiences with ARKit 2Who this book is forIf you’re a developer with some experience in iOS programming and want to enhance your skills by unlocking the full potential of the latest iOS version with Swift to build great applications, this book is for you.
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Programming Multi-Agent Systems
These are the proceedings of the 2nd International Workshop on Programming Multi-agentSystems(ProMAS2004),heldinJuly2004inNewYork(USA)asan associated event of AAMAS 2004, the main international conference dedicated to autonomous agents and multi-agent systems. The idea of organizing such an event was discussed during the Dagstuhl s- inarProgramming Multi-agent Systems Based on Logic (see [2]), where the focus was on logic-based approaches. It was felt that the scope should be broadened beyond logic-based approaches, and thus ProMAS came into being (see [1] for the proceedings of the ?rst event, ProMAS 2003). Meanwhile, a Steering Committee (Rafael Bordini, Mehdi Dastani, Jurgen .. Dix, Amal El Fallah Seghrouchni) as well as an AgentLink III Technical Forum GrouponProgrammingMulti-agentSystems wereestablished(thelatteronewas founded on 30 June/1 July 2004 in Rome, Italy (see http:// www.cs.uu.nl/ mehdi/al3tf8.html). Moreover, a Kluwer book on the same topic is underway (to appear early in 2005) and the third workshop ProMAS 2005 will be organized within AAMAS 2005 (see http://www.cs.uu.nl/ProMAS/ for up-to-date information about ProMAS).
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Code the Classics Volume II
Take inspiration from the some of the greatest video games of the 1980s and learn how to write your own modern classicsCode the Classics Volume II not only tells the stories of some of the seminal video games of the 1980s, but shows you how to create your own games inspired by them, following examples programmed by Raspberry Pi founder Eben Upton. In this book, you'll learn how to run and edit the games in this book by installing Python, Pygame Zero, and an IDE. You'll also:Get game design tips and tricks from the masters.Understand the fundamental tasks needed for every game: display images, play sound effects and receive inputs from the keyboard or a game controller.Learn how to code your own games with Pygame Zero, a library that helps automate those tasks.Explore the code listings and find out how they work.You'll meet these vintage-inspired games, and learn from their code in between rounds of play:Avenger: fly across a scrolling landscape while you save humans from malevolent aliens.Beat Streets: fight your way through a level, and defeat a notorious crime boss.Eggzy: collect gems and survive as long as possible before time runs out.Leading Edge: Race a car on a pseudo-3d race track.Kinetix: Break bricks with your paddle, and use powerups to avoid various menaces.
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Multiple Objective and Goal Programming
This volume constitutes the proceedings of the Fourth International Conference on Multi-objective Progranuning and Goal Programming. Theory & Applications (MOPGP'OO) held in Ustron, Poland on May 29 - June 1,2000. Sixty six people from 15 countries attended the conference and 53 papers were presented. MOPGP'OO was organized by the Department of Operations Research, The Karol Adamiecki University of Economics in Katowice, Poland and chaired by Tadeusz Trzaskalik. The members of the International Committee were: James Ignizio, Dylan Jones, Pekka Korhonen, Carlos Romero, Ralph Steuer and Mehrdad Tamiz. The Local Organizing Committee consisted of Ewa Konarzewska-Gubala, Ignacy Kaliszewski, Jaroslav Ramik, Andrzej Skulimowski, Roman Slowinski and Tadeusz Trzaskalik. The volume is divided into two parts: Theory and Applications. 15 papers from Part direct at theoretical topics, in Part II there are 18 papers on innovative applications, implementation and practice of multi-objective programming and goal progranuning. Thanks to the efforts made by the referees, readers will enjoy turning the pages.MOPGP'OO was made possible by the support of the State Committee for Scientific Research (KBN) and The Karol Adamiecki University of Economics in Katowice. I would like to thank to the all people who helped to organize the conference, have made the success of MOPGP'OO possible.
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Introduction to Modern Scientific Programming and Numerical Methods
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process.This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis.It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or for any new personnel working in scientific computing or data analysis.Key Features:• Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and Verilog.• Provides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing".• Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamics.Companions websites for this book can be accessed at https://plasmasimulationsbyexample.com/ and https://www.scientificprogrammingbook.com/.Lubos Brieda holds a Ph.D. in Aerospace and Mechanical Aerospace Engineering from the George Washington University in Washington, D.C., USA and an M.Sc. in Aerospace and Ocean Engineering from Virginia Tech in Blacksburg, VA, USA. He is the president of Particle in Cell Consulting, LLC, Westlake Village, CA, USA, while also serving as a part-time lecturer in the Department of Astronautical Engineering at University of Southern California, Los Angeles, CA. Dr. Brieda is the author of numerous simulation codes utilized by the aerospace and plasma modeling communities. Additionally, he maintains an online blog found at particleincell.com/blog focusing on scientific computing and since 2014 he has been teaching online courses on plasma simulations through his website.Joseph Wang is a Professor of Astronautics and Aerospace and Mechanical Engineering at the University of Southern California. Prof. Wang received his Ph.D in Aeronautics and Astronautics from Massachusetts Institute of Technology in 1991. Prof. Wang conducts research in computational physics, space technology, and space and planetary science. He and his students have
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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
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Beginning Python Visualization
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of data sources, big and small, into useful visual data. And, you will learn Python as part of the bargain.In this second edition you’ll learn about Spyder, which is a Python IDE with MATLAB® -like features. Here and throughout the book, you’ll get detailed exposure to the growing IPython project for interactive visualization. In addition, you'll learn about the changes in NumPy and Scipy that have occurred since the first edition. Along the way, you'll get many pointers and a few visual examples. As part of this update, you’ll learn about matplotlib in detail; this includes creating 3D graphs and using the basemap package that allows you to render geographical maps. Finally, you'll learn about image processing, annotating, and filtering, as well as how to make movies using Python. This includes learning how to edit/open video files and how to create your own movie, all with Python scripts. Today's big data and computational scientists, financial analysts/engineers and web developers – like you - will find this updated book very relevant.
R 1,596.00
Hands-On Object-Oriented Programming
Learn how to easily design and implement a software system using object-oriented programming. Through hands-on activities, this book equips you with the real-world practice needed to master OOP skills that can be applied universally across any programming language. This book is dedicated to bridging the gap between theoretical concepts and practical implementation in software development using OOP. Readers will first understand the importance of OOP in handling software complexities before learning how to model real-world problems through access control, extendible object design, and object relationships. Specifically, the author discusses how to use inheritance, association, and polymorphism concepts for implementing reusable and easy-to-use complex software. More importantly, this book covers design patterns and event-driven programming for learning how to model complex interactions among various objects of the software system to implement various use cases. Unlike existing books on OOP which teach syntax and semantics through standard examples, this book leverages an immersive learning experience through a variety of real-world use cases, applications, games, and system software. While written in C++, the skills can be applied to any OOP language of the reader's preference. The book's last chapters will quickly introduce Python and Solidity languages for learning advanced technologies. By the end, novice and seasoned developers will know how to implement practical and reusable software systems with confidence. What You Will Learn Apply OOP concepts through real-time use cases: games, applications software (online shopping, reservations, etc.), system software (protocols, simulators, etc.), and modeling and implementation using C+Design and implement reusable and extendible software with OOPUnderstand the importance of design patterns and learn how to use them for solving real-time issuesUse event-driven programming for implementing complete interactions of complex application software, system software, and simulatorsImplement OOP using C++ features and discover Python and Solidity constructs for OOP Who This Book Is For Beginners and intermediate software developers with basic programming knowledge to quickly learn OOP concepts with C++. Advanced users will find it useful for quickly exploring best-design principles, patterns, and event-driven programming for implementing complex software systems.
R 1,482.00
R 916.00
