Название: C Programming: Core Concepts and Techniques
Автор: William Smith
Издательство: HiTeX Press
Год: 2024
Страниц: 300
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

"C Programming: Core Concepts and Techniques" is an authoritative resource designed to guide beginners through the foundational aspects of C programming. Written with clarity and precision, this book meticulously covers essential topics, ranging from basic syntax and data types to advanced concepts such as pointers, dynamic memory management, and file I/O operations. Each chapter is crafted to build upon the previous one, ensuring a seamless and comprehensive learning experience. With a focus on practical implementation, this book includes numerous examples and exercises that reinforce key concepts and promote hands-on practice. Whether you aim to develop software for embedded systems, undertake performance-critical applications, or enhance your overall programming skills, this book serves as both a valuable educational text and a reliable reference guide, laying a solid foundation for mastering the versatile and powerful C programming language. The legacy of C is evident in its influence on many later programming languages. Languages such as C++, C#, Java, and even modern languages like Go and Rust have drawn heavily from C’s syntax and design principles. The focus on efficiency, portability, and the ability to write system-level code have made C an enduring and highly respected language in the programming community.

Название: Industrial Vision Systems with Raspberry Pi: Build and Design Vision products Using Python and OpenCV
Автор: K. Mohaideen Abdul Kadhar, G. Anand
Издательство: Apress
Год: 2024
Страниц: 346
Язык: английский
Формат: pdf
Размер: 23.1 MB

Today’s industries are faced with a growing demand for vision systems due to their non-invasive characteristics in inspecting product quality. These systems identify surface defects and faults, and verify components’ orientation and their measurements, etc. This book explores the vision techniques needed to design and develop your own industrial vision system with the help of Raspberry Pi. You’ll start by reviewing basic concepts and applications of machine vision systems, followed by the preliminaries of Python, OpenCV, required libraries, and installing OpenCV for Python on Raspberry Pi. These are used when implementing image processing for the system applications. You’ll then look at interfacing techniques and some of the challenges industrial vision systems encounter, such as lighting and camera angles. Algorithms and image processing techniques are also discussed, along with Machine Learning and Deep Learning techniques. Later chapters explain the use of GUI apps and real-time applications of Industrial vision systems. Each chapter concludes with examples and demo implementations to facilitate your knowledge of the concepts. By the end of the book, you’ll be able to build and deploy computer vision applications with Python, OpenCV, and Raspberry Pi.

Название: Modern Tkinter Python for Developers: Design and Build functional and user-friendly GUI applications
Автор: George W New, Leire Verdugo
Издательство: Independently published
Год: 2024
Страниц: 422
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Python is one of the most popular and easiest programming languages out there. Learning it -- and mastering the craft -- is a walk in the park when you have the right guidance. Graphical User Interface(GUI) is a form of user interface which allows users to interact with computers through visual indicators using items such as icons, menus, windows, etc. It has advantages over the Command Line Interface(CLI) where users interact with computers by writing commands using keyboard only and whose usage is more difficult than GUI. What is Tkinter? Tkinter is the inbuilt Python module that is used to create GUI applications. It is one of the most commonly used modules for creating GUI applications in Python as it is simple and easy to work with. You don’t need to worry about the installation of the Tkinter module separately as it comes with Python already. It gives an object-oriented interface to the Tk GUI toolkit. Some other Python Libraries available for creating our own GUI applications are: Kivy, Python Qt, wxPython. Among all Tkinter is most widely used. In summary, Tkinter is a useful tool for creating a wide variety of graphical user interfaces, including windows, dialog boxes, and custom widgets. It is particularly well-suited for building desktop applications and adding a GUI to command-line programs.

Название: Moral Codes: Designing Alternatives to AI
Автор: Alan F. Blackwell
Издательство: The MIT Press
Год: 2024
Страниц: 239
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Why the world needs less AI and better programming languages. Decades ago, we believed that robots and computers would take over all the boring jobs and drudgery, leaving humans to a life of leisure. This hasn't happened. Instead, humans are still doing boring jobs, and even worse, AI researchers have built technology that is creative, self-aware, and emotional—doing the tasks humans were supposed to enjoy. How did we get here? In Moral Codes, Alan Blackwell argues that there is a fundamental flaw in the research agenda of AI. What humanity needs, Blackwell argues, is better ways to tell computers what we want them to do, with new and better programming languages: More Open Representations, Access to Learning, and Control Over Digital Expression, in other words, MORAL CODE. Blackwell draws on his deep experiences as a programming language designer—which he has been doing since 1983—to unpack fundamental principles of interaction design and explain their technical relationship to ideas of creativity and fairness. Taking aim at software that constrains our conversations with strict word counts or infantilizes human interaction with likes and emojis, Blackwell shows how to design software that is better—not more efficient or more profitable, but better for society and better for all people. Covering recent research and the latest smart tools, Blackwell offers rich design principles for a better kind of software—and a better kind of world. In an introductory class in programming, students learn to code. They will be taught the syntax and keywords of some programming language notation, perhaps Python or Java, and will learn how to translate an algorithm into the conventional idioms of that particular programming language. Introductions to Machine Learning are not yet quite as familiar or popular as learn-­to-­code initiatives, but they are equally accessible to children—­I have a friend who teaches Machine Learning methods to eight-­year-­olds in an after-­school club.

Название: Graph Based Multimedia Analysis
Автор: Ananda S. Chowdhury, Abhimanyu Sahu
Издательство: Morgan Kaufmann/Elsevier
Год: 2024
Страниц: 370
Язык: английский
Формат: epub
Размер: 72.1 MB

Graph Based Multimedia Analysis applies concepts from graph theory to the problems of analyzing overabundant video data. Video data can be quite diverse: exocentric (captured by a standard camera) or egocentric (captured by a wearable device like Google Glass); of various durations (ranging from a few seconds to several hours); and could be from a single source or multiple sources. Efficient extraction of important information from such a large class of diverse video data can be overwhelming. The book, with its rich repertoire of theoretically elegant solutions, from graph theory in conjunction with deep learning, constrained optimization, and game theory, empowers the audience to achieve tasks like obtaining concise yet useful summaries and precisely recognizing single as well as multiple actions in a computationally efficient manner. The book provides a unique treatise on topics like egocentric video analysis and scalable video processing. This book provides a comprehensive and methodical approach to these challenges, underpinned by the rigorous and elegant framework of graph theory. It deftly bridges the gap between the somewhat disparate domains of video processing and graph theory, demonstrating how graph-based methodologies can effectively address critical problems in video summarization, cosummarization, and action recognition. The salient feature of this work is its extensive utilization of graph theoretical concepts. The book covers an impressive array of graph-based methods, including Delaunay graphs, Optimal Path-Forests, Bipartite Graph Matching, Graph Centrality measures, Graph Connectedness, Spectral Measures of Graph Similarity, Minimum Spanning Tree, and Random Walks. The integration of game-theoretic models, constrained optimization techniques, and advanced Deep Learning methods such as Convolutional Neural Networks and Transfer Learning, further enriches the suite of methods presented.

Название: Python Programming: Handbook For IoT Development: A Complete Beginners Guide To Learning Essential Skills To Build Connected Devices, Collect Data And Create Innovative Applications
Автор: Hazel Mackay
Издательство: Independently published
Серия: The Python Power Toolkit
Год: 2024
Страниц: 172
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unleash the Power of Python for Your Next IoT Project: Python Programming Handbook for IoT Development. Transform your ideas into connected realities with this beginner-friendly guide! The Internet of Things (IoT) is exploding, and Python is the key that unlocks its potential. This handbook is your comprehensive roadmap to mastering Python for building smart, interconnected devices. No prior coding experience necessary! Python, with its simplicity, flexibility, and extensive libraries, has emerged as a language of choice for IoT development. Its versatility and ease of use make it an ideal choice for building robust, efficient, and scalable IoT applications, from smart home devices and industrial automation to wearable technology and environmental monitoring. This handbook is designed to take you on a journey from the basics of Python programming to the cutting-edge techniques and tools used in IoT development. Whether you're a seasoned developer looking to expand your skillset or a beginner eager to dive into the world of IoT, this book provides a clear, concise, and hands-on approach to learning Python programming for IoT development. By the end of this journey, you'll be a confident Python programmer, ready to embark on your own exciting IoT endeavors.

Название: Introduction to Python Network Automation Volume I - Laying the Groundwork, 2nd Edition
Автор: Brendan Choi
Издательство: Apress
Год: 2024
Страниц: 831
Язык: английский
Формат: pdf (true), epub (true)
Размер: 37.1 MB

Welcome to Introduction to Python Network Automation Volume I: Laying the Groundwork. In this first part of our comprehensive guide, you'll embark on a transformative journey into the world of network automation. Whether you're new to the IT field or seeking to strengthen your existing skills, this book serves as your roadmap to mastering the foundational skills essential for success in network automation. You'll begin your exploration by delving into the fundamentals of Python network automation, laying a solid foundation for your learning journey. Equipped with essential Python skills, you'll leverage them for network administration tasks, particularly on the Windows platform. Reinforce your understanding through targeted exercises designed to enhance your proficiency and navigate the complexities of VMware Workstation as you master virtualization techniques crucial for setting up your network automation environment. You’ll then venture into Linux fundamentals, learning to set up and configure server environments tailored for network automation tasks while gaining a deep understanding of file systems and TCP/IP services in Linux. Explore the power of regular expressions as you streamline network automation tasks with precision and efficiency. For IT engineers and developers, network managers and students, who would like to learn network automation using Python.

Название: Программирование на Python с помощью GitHub Copilot и ChatGPT
Автор: Портер Л., Зингаро Д.
Издательство: питер
Год: 2024
Формат: PDF
Страниц: 340
Размер: 42 Mb
Язык: Русский

В наши дни люди пишут компьютерные программы совсем не так, как раньше. Используя GitHub Copilot, можно простым языком описать, что должна делать программа, а искусственный интеллект тут же сгенерирует ее. Узнайте, как создавать и улучшать программы на Python с помощью ИИ, даже если прежде вы не написали ни строчки компьютерного кода. Сэкономьте время на рутинном программировании и воспользуйтесь услугами ИИ, способного мгновенно воплотить ваши идеи в жизнь. Заодно выучите Python!

Название: Программирование на Python для начинающих
Автор: Максим Дуплей
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 254 Mb
Язык: Русский

Python – это высокоуровневый язык программирования общего назначения с динамической строгой типизацией и автоматическим управлением памятью, ориентированный на повышение производительности разработчика, читаемости кода и его качества, а также на обеспечение переносимости написанных на нём программ.

Название: Ultimate Java for Data Analytics and Machine Learning: Unlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j
Автор: Abhishek Kumar
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 529
Язык: английский
Формат: pdf, epub
Размер: 14.1 MB

Empower Your Data Insights with Java's Top Tools and Frameworks. This book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis. The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction. The final part of the book gives a brief overview of big data analysis with Java frameworks like MapReduce, and introduces deep learning with the Deeplearning4J library. Whether you're new to data analysis or want to improve your Java skills, this book offers a step-by-step approach with real-world examples to help you master data analysis using Java. This book is ideal for IT professionals, software developers, and data scientists interested in using Java for data analytics. It is also suitable for students and researchers seeking practical insights into Java-based data analysis. Readers should have a basic understanding of Java programming and fundamental concepts in data analysis.