Products related to Programming:
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Prolog Programming for Artificial Intelligence
The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics.New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems.The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.
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Mastering ROS for Robotics Programming -
Discover best practices and troubleshooting solutions when working on ROSAbout This Book• Develop complex robotic applications using ROS to interface robot manipulators and mobile robots• Gain insight into autonomous navigation in mobile robots and motion planning in robot manipulators• Discover best practices and troubleshooting solutionsWho This Book Is ForIf you are a robotics enthusiast or researcher who want to learn more about building robot applications using ROS, this book is for you.In order to learn from this book, you should have a basic knowledge of ROS, GNU/Linux, and C++ programming concepts.The book is also excellent for programmers who want to explore the advanced features of ROS. What You Will Learn• Create a robot model with a seven-DOF robotic arm and a differential wheeled mobile robot• Work with Gazebo and V-REP robotic simulator• Implement autonomous navigation in differential drive robots using SLAM and AMCL packages• Explore the ROS Pluginlib, ROS nodelets, and Gazebo plugins• Interface I/O boards such as Arduino, robot sensors, and high-end actuators• Simulate and motion plan an ABB and universal arm using ROS Industrial• Explore the latest version of the ROS framework• Work with the motion planning of a seven-DOF arm using MoveIt!In DetailIn this day and age, robotics has been gaining a lot of traction in various industries where consistency and perfection matter.Automation is achieved via robotic applications and various platforms that support robotics.The Robot Operating System (ROS) is a modular software platform to develop generic robotic applications.This book focuses on the most stable release of ROS (Kinetic Kame), discusses advanced concepts, and effectively teaches you programming using ROS. We begin with aninformative overview of the ROS framework, which will give you a clear idea of how ROS works.During the course of this book, you'll learn to build models of complex robots, and simulate and interface the robot using the ROS MoveIt! motion planning library and ROS navigation stacks. Learn to leverage several ROS packages to embrace your robot models. After covering robot manipulation and navigation, you'll get to grips with the interfacing I/O boards, sensors, and actuators of ROS.Vision sensors are a key component of robots, and an entire chapter is dedicated to the vision sensor and image elaboration, its interface in ROS and programming.You'll also understand the hardware interface and simulation of complex robots to ROS and ROS Industrial. At the end of this book, you'll discover the best practices to follow when programming using ROS. Style and approachThis is a simplified guide to help you learn and master advanced topics in ROS using hands-on examples.
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Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
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Programming Language Cultures : Automating Automation
In this book, Brian Lennon demonstrates the power of a philological approach to the history of programming languages and their usage cultures.In chapters focused on specific programming languages such as SNOBOL and JavaScript, as well as on code comments, metasyntactic variables, the very early history of programming, and the concept of DevOps, Lennon emphasizes the histories of programming languages in their individual specificities over their abstract formal or structural characteristics, viewing them as carriers and sometimes shapers of specific cultural histories.The book's philological approach to programming languages presents a natural, sensible, and rigorous way for researchers trained in the humanities to perform research on computing in a way that draws on their own expertise. Combining programming knowledge with a humanistic analysis of the social and historical dimensions of computing, Lennon offers researchers in literary studies, STS, media and digital studies, and technical fields the first technically rigorous approach to studying programming languages from a humanities-based perspective.
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Which programming language is used for robotics and artificial intelligence?
Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.
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What is a programming education?
A programming education is the process of learning how to write, design, and implement computer programs using various programming languages and tools. It involves understanding the fundamental concepts of programming, such as algorithms, data structures, and problem-solving techniques. A programming education also includes learning how to use different programming languages, frameworks, and libraries to develop software applications and systems. Additionally, it involves gaining practical experience through hands-on projects and exercises to apply the knowledge gained in real-world scenarios.
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How can one continue learning programming?
One can continue learning programming by taking online courses or tutorials on platforms like Coursera, Udemy, or Codecademy. Joining coding communities and forums can also help in learning from others and getting support. Additionally, working on personal projects and practicing regularly can further enhance programming skills. Finally, staying updated with the latest programming languages and technologies through blogs, podcasts, and attending workshops can also contribute to continuous learning.
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How do I start learning programming?
To start learning programming, you can begin by choosing a programming language to focus on, such as Python, Java, or JavaScript. Next, familiarize yourself with the basic concepts of programming, such as variables, data types, loops, and functions. There are many online resources available, such as tutorials, courses, and coding platforms, that can help you learn programming at your own pace. Practice coding regularly and work on small projects to apply what you have learned and improve your skills.
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Learning Object-Oriented Programming
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Beginning Game AI with Unity : Programming Artificial Intelligence with C#
Game developers will use this book to gain a basic knowledge of programming artificial intelligence using Unity and C#.You will not be bored learning the theory underpinning AI.Instead, you will learn by experience and practice, and complete an engaging project in each chapter. AI is the one of the most popular subjects in gaming today, ranging from controlling the behavior of non-player characters to procedural generated levels.This book starts with an introduction to AI and its use in games.Basic moving behaviors and pathfinding are covered, and then you move through more complex concepts of pathfinding and decision making. What You Will LearnUnderstand the fundamentals of AICreate gameplay-based AI to address navigation and decision-making problemsPut into practice graph theory and behavior modelsAddress pathfinding problemsUse the A* algorithm, the deus ex machina of pathfinding algorithmsCreate a mini stealth gameWho This Book Is ForDevelopers and programming enthusiasts with a basic knowledge of Unity and C# who want to understand and master the foundations of artificial intelligence in games
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Paradigms of Artificial Intelligence Programming : Case Studies in Common Lisp
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems.By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts.The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions.This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.
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Android Programming For Beginners : The Simple Guide to Learning Android Programming Fast!
ANDROID PROGRAMMING Android programming is a great skill for any aspiring computer programmer to have. Being able to create apps for Android can be fun, but also lucrative. Wouldn't it be great to create the next big app? While this doesn't happen often, it's definitely a possibility! Regardless if this is your goal or not, developing Android apps is super fun and enjoyable! This book is aimed at complete beginners to Android programming. It takes you through everything you need to know to begin making apps! It takes you step by step through the creation of your very first app, and helps you to hit the ground running! Here Is What You'll Learn About...History Of Android,Android's Architecture,App Development Preparation,Programming With JAVA & XML,How To Use Android Studio,Your First App,Editing & Distributing Your App,Much, Much More!
Price: 11.99 £ | Shipping*: 3.99 £
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Is programming taught in the field of Electrical Engineering and Information Technology?
Yes, programming is taught in the field of Electrical Engineering and Information Technology. Both fields require a strong foundation in programming languages such as C, C++, Python, and Java to develop software, design hardware, and work with embedded systems. Programming skills are essential for designing and implementing various electrical and information technology systems, including control systems, communication networks, and digital signal processing. Additionally, understanding programming concepts is crucial for developing innovative solutions and advancing technology in these fields.
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What tips are there for learning programming?
Some tips for learning programming include starting with the basics and building a strong foundation, practicing regularly to reinforce your skills, breaking down complex problems into smaller, manageable tasks, seeking help and resources online or from experienced programmers, and working on real-world projects to apply your knowledge in practical scenarios. Additionally, staying patient and persistent, being open to learning from mistakes, and staying curious and exploring new technologies can also help in mastering programming.
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What are some tips for learning programming?
1. Start with the basics: Begin by learning the fundamental concepts of programming such as variables, data types, loops, and conditional statements. 2. Practice regularly: Programming is a skill that requires consistent practice. Set aside dedicated time each day to work on coding exercises and projects. 3. Break down problems: When faced with a coding challenge, break it down into smaller, manageable parts. This will make it easier to tackle and solve the problem. 4. Seek help and resources: Utilize online tutorials, forums, and communities to seek help and learn from others. There are plenty of resources available for free or at a low cost. 5. Build projects: Apply your learning by building real-world projects. This will help you solidify your understanding and showcase your skills to potential employers.
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What are the difficulties in learning programming?
Learning programming can be challenging due to its abstract and logical nature, which may be difficult for some individuals to grasp. Additionally, the vast amount of programming languages and concepts can be overwhelming for beginners. Debugging and troubleshooting errors can also be frustrating and time-consuming. Finally, staying motivated and persistent in the face of complex problems and setbacks can be a challenge for some learners.
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