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Python Crash Course, 3rd Edition
Since its initial debut in 2015, this critically acclaimed quick-start guide to programming has taught millions of people all over the world to write clean code, solve problems, and build custom applications in the popular language of Python. The highly anticipated third edition of Python Crash Course has been completely revised with updated code, practices, and projects-making it the ultimate launchpad for beginners to start their engines and code in Python 3!
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Python For Kids, 2nd Edition
Python for Kids brings Python to life and brings kids (and their parents) into the wonderful world of programming. Author Jason R. Briggs guides readers through the basics, experimenting with unique (and often hilarious) example programs that feature ravenous monsters, secret agents, thieving ravens, and more. Full-colour illustrations keep things fun and engaging throughout! This second edition has been completely updated and revised to reflect the latest Python version and programming practices, with new puzzles to inspire readers to take their code farther than ever before.
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Pragmatic Python Programming
Explore the world of programming languages through Python and learn the building blocks of writing programs. This book covers Python 3.10, explaining it through six key concepts. Each chapter contains a real-world example with practical advice and a section on advanced concepts. You'll start by reviewing the concept of expressions and functions, which are two of the core building blocks of programming languages. You'll then move on to object-oriented concepts to help gain a practical understanding of Python, along with a chapter on control flow constructs. The book also takes a close look at sequences, explaining constructs and additional types, and wraps up with a chapter on modules, focusing on how to use and create packages. Whether you’re new to programming or already an experienced developer, upon finishing this book, you will have a solid understanding of Python's state-of-the-art development features.What You Will LearnStudy the six main concepts of the programming languagesLearn how to use programming language constructs through examplesReview the core Python language notations and concepts.Start using Python as a working languageWho This Book Is ForSoftware developers wanting to gain professional core Python knowledge quickly, and non-developers wanting to gain an understanding of programming concepts.
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Learning ROS for Robotics Programming -
Your one-stop guide to the Robot Operating SystemAbout This Book• Model your robot on a virtual world and learn how to simulate it• Create, visualize, and process Point Cloud information• Easy-to-follow, practical tutorials to program your own robotsIn DetailIf you have ever tried building a robot, then you know how cumbersome programming everything from scratch can be. This is where ROS comes into the picture. It is a collection of tools, libraries, and conventions that simplifies the robot building process. What's more, ROS encourages collaborative robotics software development, allowing you to connect with experts in various fields to collaborate and build upon each other's work.Packed full of examples, this book will help you understand the ROS framework to help you build your own robot applications in a simulated environment and share your knowledge with the large community supporting ROS.Starting at an introductory level, this book is a comprehensive guide to the fascinating world of robotics, covering sensor integration, modeling, simulation, computer vision, navigation algorithms, and more. You will then go on to explore concepts like topics, messages, and nodes. Next, you will learn how to make your robot see with HD cameras, or navigate obstacles with range sensors. Furthermore, thanks to the contributions of the vast ROS community, your robot will be able to navigate autonomously, and even recognize and interact with you in a matter of minutes.What's new in this updated edition? First and foremost, we are going to work with ROS Hydro this time around. You will learn how to create, visualize, and process Point Cloud information from different sensors. This edition will also show you how to control and plan motion of robotic arms with multiple joints using MoveIt! By the end of this book, you will have all the background you need to build your own robot and get started with ROS.What You Will Learn• Install a complete ROS Hydro system• Create ROS packages and metapackages, using and debugging them in real time• Build, handle, and debug ROS nodes• Design your 3D robot model and simulate it in a virtual environment within Gazebo• Give your robots the power of sight using cameras and calibrate and perform computer vision tasks with them• Generate and adapt the navigation stack to work with your robot• Integrate different sensors like Range Laser, Arduino, and Kinect with your robot• Visualize and process Point Cloud information from different sensors• Control and plan motion of robotic arms with multiple joints using MoveIt! Who This Book Is ForIf you are a robotic enthusiast who wants to learn how to build and program your own robots in an easy-to-develop, maintainable, and shareable way, this book is for you. In order to make the most of the book, you should have a C++ programming background, knowledge of GNU/Linux systems, and general skill in computer science. No previous background on ROS is required, as this book takes you from the gro
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Pythonic Programming
Make your good Python code even better by following proven and effective pythonic programming tips. Avoid logical errors that usually go undetected by Python linters and code formatters, such as frequent data look-ups in long lists, improper use of local and global variables, and mishandled user input. Discover rare language features, like rational numbers, set comprehensions, counters, and pickling, that may boost your productivity. Discover how to apply general programming patterns, including caching, in your Python code. Become a better-than-average Python programmer, and develop self-documented, maintainable, easy-to-understand programs that are fast to run and hard to break.Python is one of the most popular and rapidly growing modern programming languages. With more than 200 standard libraries and even more third-party libraries, it reaches into the software development areas as diverse as artificial intelligence, bioinformatics, natural language processing, and computer vision. Find out how to improve your understanding of the spirit of the language by using one hundred pythonic tips to make your code safer, faster, and better documented.This programming style manual is a quick reference of helpful hints and a random source of inspiration. Choose the suitable data structures for searching and sorting jobs and become aware of how a wrong choice may cause your application to be completely ineffective. Understand global and local variables, class and instance attributes, and information-hiding techniques. Create functions with flexible interfaces. Manage intermediate computation results by caching them in files and memory to improve performance and reliability. Polish your documentation skills to make your code easy for other programmers to understand. As a bonus, discover Easter eggs cleverly planted in the standard library by its developers.Polish, secure, and speed-up your Python applications, and make them easier to maintain by following pythonic programming tips.What You Need:You will need a Python interpreter (ideally, version 3.4 or above) and the standard Python library that usually comes with the interpreter.
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Introduction to Python Programming and Data Structures, Global Edition
For introductory courses in Python Programming and Data Structures. A fundamentals first approach to programming helps students create efficient, elegant code. Introduction to Python Programming and Data Structures introduces students to basic programming concepts using a fundamentals-first approach that prepares students to learn object-oriented programming and advanced Python programming. This approach presents programming concepts and techniques that include control statements, loops, functions, and arrays before designing custom classes. Students learn basic logic and programming concepts prior to moving into object-oriented and GUI programming. The content incorporates a wide variety of problems with various levels of difficulty and covers many application areas to engage and motivate students.
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Guide to Using Generative AI in Programming
Generative AI has changed the landscape of programming. How can AI tools be used effectively and safely, and what is the role of human programmers now? This unique textbook/guide is a comprehensive introduction to using generative AI in programming. Based on both practical experience and scientific studies, it shows how AI tools can be applied effectively to programmers' tasks--such as information retrieval, code generation, test creation, and code analysis. The book explores both the new possibilities and the risks of using generative AI, emphasizing the importance of programmers' expertise: Whereas AI tools can make programmers more productive, their use may also lead to serious problems. The book also addresses how learning and teaching programming are evolving in the era of generative AI. Topics and features: Explains how large language models work under the hood, and how this affects their abilities and limitationsIncludes a wealth of practical examples of using AI tools in a variety of programming languagesOffers advice on how to build effective prompts for tasks such as generating professional code and learning new programming languagesExplores recent scientific literature on using generative AI in software development and programming educationShows how generative AI connects to the history of programming, including developments in programming paradigms and abstractions This textbook is an ideal guide for students and programmers wishing to understand the role of generative AI in programming, as well as to learn both how to use AI tools in practice and the theory behind them. The book assumes basic programming knowledge, but no prior experience with AI tools is necessary. It is suitable both for beginners learning programming and for experienced programmers looking to update their skills.
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Programming with Python
Based on the latest version of the language, this book offers a self-contained, concise and coherent introduction to programming with Python. The book’s primary focus is on realistic case study applications of Python. Each practical example is accompanied by a brief explanation of the problem-terminology and concepts, followed by necessary program development in Python using its constructs, and simulated testing. Given the open and participatory nature of development, Python has a variety of incorporated data structures, which has made it difficult to present it in a coherent manner. Further, some advanced concepts (super, yield, generator, decorator, etc.) are not easy to explain. The book specially addresses these challenges; starting with a minimal subset of the core, it offers users a step-by-step guide to achieving proficiency.
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Programming with Python
This book is an introduction to Python Programming and provides a practical approach to the subject. The basic concepts of Python are explained in detail and augmented with examples and diagrams for a thorough understanding of the subject.The book is primarily aimed at students with little or no prior knowledge of programming languages. However, self-taught and hobbyist programmers, scientists, engineers, computing professionals and computer scientists and others who need to program as part of their work may also use this book for understanding the basic concepts of Python.Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)
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Programming PyTorch for Deep Learning
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the second. In this practical book, you’ll get up to speed on key ideas using Facebook’s open source PyTorch framework and gain the latest skills you need to create your very own neural networks.Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.Learn how to deploy deep learning models to productionExplore PyTorch use cases from several leading companiesLearn how to apply transfer learning to imagesApply cutting-edge NLP techniques using a model trained on WikipediaUse PyTorch’s torchaudio library to classify audio data with a convolutional-based modelDebug PyTorch models using TensorBoard and flame graphsDeploy PyTorch applications in production in Docker containers and Kubernetes clusters running on Google Cloud
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