Название: Решаем задачи Python
Автор: Джеймс Девис
Издательство: Литрес
Год: 2024
Формат: pdf, epub
Размер: 10 Мб
Качество: Хорошее
Язык: Русский

Данная книга - это практическое руководство для освоения языка программирования Python через решение разнообразных задач и проектов. В книге представлены подробные решения и код для каждой задачи. Основные разделы включают:
- Логическое мышление и базовые конструкции: задачи для развития алгоритмического мышления и понимания основных конструкций Python.
- Рисование и графика: упражнения с графическими изображениями и анимациями, используя библиотеки Turtle.
- Работа с данными и визуализация: задачи по сбору, обработке и анализу данных с библиотеками Pandas и NumPy, а также визуализация данных с Matplotlib.

Название: MATLAB for Engineers, 6th Edition
Автор: Holly Moore
Издательство: Pearson Education, Inc.
Год: 2023
Страниц: 705
Язык: английский
Формат: pdf (true)
Размер: 51.3 MB

MATLAB For Engineers starts at the beginning to introduce first-year engineering students to MATLAB. Starting with basic algebra, you'll learn how MATLAB can be used to solve a wide range of engineering problems. Examples taken from concepts presented in early chemistry, physics, and first- and second-year engineering classes are included. When the text covers new subjects, like statistics and matrix algebra, brief background information is used to support your success. As you work through hands-on examples and exercises, you'll learn to apply a consistent problem-solving methodology to help you reach a solution. The 6th Edition reflects the MATLAB software release R2021B. Updated screenshots, new data, new problems and discussions offer a current view of the coding language and platform you'll use in your classes and career. MATLAB is a “multiparadigm” programming language, which means it can be used in several different ways to perform programming tasks. Those tasks can range from something as simple as balancing your checkbook to complex engineering modeling applications. MATLAB is a versatile language, but it can’t do everything. It is a large application program designed to optimize mathematical calculations; number-crunching is where it shines. You wouldn’t want to use it to write a word-processing program, for example. If you wanted to write an operating system or design software, C ++, Java, or some other higher-level language would be a better choice. In fact, MATLAB was originally written in Fortran and then later rewritten in C.

Название: Introduction to Python Programming
Автор: Udayan Das, Aubrey Lawson, Chris Mayfield, Narges Norouzi
Издательство: OpenStax
Год: Mar 15, 2024
Страниц: 415
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Introduction to Python Programming provides a comprehensive foundation in programming concepts and skills, and it is aligned to the scope of most introductory courses. A wide array of scenarios, contexts, and problems reflect programming applications in many disciplines and careers. The offering is suitable for a diverse learner audience, including those pursuing Computer Science, business, science, social science, statistics, Data Science, and related areas of study and employment. Introduction to Python Programming is an interactive offering that teaches basic programming concepts, problem-solving skills, and the Python language using hands-on activities. The resource includes a unique, integrated code runner through which students can immediately apply what they learn to check their understanding. Embedded videos, critical thinking exercises, and explorations of external programming tools and activities all contribute to a meaningful and supportive learning experience. This book introduces Python, one of the top programming languages today. Leading tech giants like Google, Apple, NASA, Instagram, Pixar, and others use Python extensively. One reason why Python is popular is because many libraries exist for doing real work. A library is a collection of code that can be used in other programs. Python comes with an extensive Standard Library for solving everyday computing problems like extracting data from files and creating summary reports. In addition, the community develops many other libraries for Python.

Название: Gamma Scalping: Advanced Python Techniques for Profitable Trading: A Comprehensive Guide for 2024
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 506
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unlock the power of Gamma Scalping with the definitive guide for traders and financial analysts. "Gamma Scalping" dives into sophisticated trading strategies, providing you with a comprehensive toolkit to optimize your trading performance. Python has become a cornerstone in the world of quantitative finance, offering unparalleled flexibility, a rich set of libraries, and an active community of developers. To harness the full power of Python for financial modeling and gamma scalping, it’s crucial to set up your Python environment correctly. With your virtual environment set up, the next step is to install essential Python libraries for financial modeling. These libraries include NumPy, Pandas, SciPy, and Matplotlib, among others. The true power of these libraries is realized when they are used together to build comprehensive financial models. Consider a scenario where you need to evaluate the risk and return profile of a complex portfolio. You can use Pandas for data handling, NumPy for numerical computations, and SciPy for optimization. Jupyter Notebooks allow you to write and execute Python code in an interactive, web-based environment, making it easier to visualize data and debug code. Web scraping involves extracting data from websites, which can be particularly useful for obtaining information not readily available through APIs. Python offers several libraries for web scraping, with BeautifulSoup and Selenium being among the most popular.

Название: VBA: Integrating Python for Enhanced Automation: A Comprehensive Guide to Advanced VBA Techniques
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2024
Страниц: 623
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the full potential of your automation projects with VBA: Integrating Python for Enhanced Automation. This essential guide is perfect for professionals looking to elevate their skills by merging the robust capabilities of VBA with the dynamic flexibility of Python. In this comprehensive book, you'll discover how to seamlessly integrate Python into your VBA projects to create powerful, efficient, and highly automated solutions. Whether you're a seasoned VBA developer or a Python enthusiast, this book provides step-by-step instructions, practical examples, and best practices to help you harness the strengths of both programming languages. Key Features: - Advanced VBA Techniques: Dive deep into sophisticated VBA methods and strategies to enhance your automation capabilities; - Python Integration: Learn how to embed Python scripts within VBA to leverage Python's extensive libraries and simplify complex tasks; - Practical Applications: Explore real-world examples and projects that demonstrate the seamless integration of VBA and Python for superior automation; - Enhanced Productivity: Discover how to automate repetitive tasks, streamline workflows, and boost your productivity with advanced techniques; - Expert Guidance: Benefit from the insights and expertise of seasoned developers who share their tips, tricks, and best practices. With VBA: Integrating Python for Enhanced Automation, you'll gain the knowledge and confidence to tackle complex automation challenges and elevate your projects to new heights. Embrace the future of automation by mastering the synergy between VBA and Python today!

Название: Cloud Application Architecture Patterns: Designing, Building, and Modernizing for the Cloud (Early Release)
Автор: Kyle Brown, Bobby Woolf, Joe Yoder
Издательство: O’Reilly Media, Inc.
Год: 2024-06-06
Страниц: 248
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

If you're developing or considering cloud application architectures for your company's projects, this practical guide is an ideal place to learn and understand best practices for developing in the cloud. Architects and lead developers will learn how cloud applications should be designed, how they fit into a larger architectural picture, and how to make them operate efficiently. Authors Kyle Brown, Bobby Woolf, and Joe Yoder take you through the process step by step. Because this book focuses on designing applications to be deployed on the cloud, we do assume a fundamental set of technologies that have become a de facto standard stack that applications make use of to take advantage of cloud computing: • Linux - Cloud computing’s operating system developed by an open community and freely available; • Containerization - Packaging an application with the environment it needs to run in the Linux kernel; • Container orchestration - Grid computing that autonomically manages large numbers of containers; • Cloud-native application - An application architecture that separates stateless business logic from stateful middleware functionality accessed as backend services. These technologies and ones like them are assumed in this book. This book is for application architects and developers who want to learn best practices about how to design applications for the cloud. Architects who want their applications to run well in the cloud need to know these best practices and employ them. These practices apply to any application that will run in the cloud. We assume most developers are writing business applications for commercial enterprises — let’s face it, that’s where the money is — but these techniques apply equally well to other fields like research and science, government, non-profits - any field where users have requirements for what an application should do and the organization wants to deploy their applications on the cloud.

Название: Secure and Smart Cyber-Physical Systems
Автор: Uttam Ghosh, Fortune Mhlanga, Danda B. Rawat
Издательство: CRC Press
Год: 2025
Страниц: 260
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Cybersecurity is a paramount concern in both Internet of Things (IoT) and Cyber-Physical Systems (CPSs) due to the interconnected and often critical nature of these systems. The integration of AI/ML into the realm of IoT and CPS security has gained significant attention and momentum in recent years. The success of AI/ML in various domains has sparked interest in leveraging these technologies to enhance the security, resilience, and adaptability of IoT and CPS. Secure and Smart Cyber-Physical Systems provides an extensive exploration of AI/ML-based security applications in the context of IoT and CPS. One of the most popular revolutions of technology is the Cyber-Physical System (CPS). CPS is an integration of cyber world (computation and communication systems) and man-made physical world (e.g., utility networks, vehicles, and factories.) formed by using sensors and actuators. Cyber systems make the physical infrastructures smarter, more secure, and reliable, and fully automated systems foster a more efcient, resilient, and sustainable built environment. In the near future (industry 4.0 revolution or 4IR), CPSs will become the new “techno-economic” paradigm. DL model consists of multiple layers of artifcial neural networks (ANNs) that are trained using supervised or unsupervised learning. Python libraries are blocks of code that contain built-in functions. These libraries provide access to the necessary packages or modules that can be installed to complete specifc tasks. By providing data operations and data structures, the Pandas’ library signifcantly aids in the study and manipulation of data, particularly time series and numerical tables. On top of NumPy, the Pandas’ package was developed. It supports the efective implementation of a data frame. Series and data frames are the foundational data structures on which Pandas is built. Pandas allow for the transformation of data structures into data frame objects, handling of missing data, and histogram or box plots.

Название: Programming Puzzles: Python Edition: Learning Python Programming for Beginners and Experienced Programmers
Автор: Matthew Whiteside
Издательство: Independently published
Год: November 14, 2023
Страниц: 428
Язык: английский
Формат: epub
Размер: 30.5 MB

In Programming Puzzles: Python Edition, industry expert software engineer with 10+ years Python coding and computer programming experience Matthew Whiteside provides you with everything that you need to learn Python programming skills, starting with the basics and initial Python downloads that you will need, and then launching into your Python learning adventure, with over 100 fun and educational Python puzzles, catering to beginners learning Python basics, as well as seasoned computer coders looking to take their skills to the next level! The puzzles in this book have specifically been designed so that people of all levels can attempt them. You’ll find some puzzles for people who are earlier along in their Python journey, and you’ll find harder puzzles for people who are more experienced. The book is broken up into two main sections, challenge puzzles and fun puzzles. The challenge puzzles section contains 50 ( + a few bonus) puzzles that start off at beginner level and get harder as you progress. This is the main section of the book and it’s recommended you start on puzzle #1 and work your way through. Whether you are a student in the Computer Science field, or an experienced software engineer, Programming Puzzles: Python Edition will be instrumental in helping you to gain confidence, unlock the potential of Python, and accelerate your Python learning journey. Note: it’s recommended you know at least the basics of Python before starting any puzzles from this book. Familiarity with fundamental concepts such as variables, conditionals, loops, and functions will greatly benefit you in solving the puzzles.

Название: Point Cloud Compression: Technologies and Standardization
Автор: Ge Li, Wei Gao, Wen Gao
Издательство: Springer
Год: 2024
Страниц: 264
Язык: английский
Формат: pdf (true), epub
Размер: 31.1 MB

3D point clouds have broad applications across various industries and have contributed to advancements in fields such as autonomous driving, immersive media, metaverse, and cultural heritage protection. With the fast growth of 3D point cloud data and its applications, the need for efficient compression technologies has become paramount. This book delves into the forefront of point cloud compression, exploring key technologies, standardization efforts, and future prospects. As a burgeoning format of spatial data, 3D point cloud has triggered a research boom in the field of vision in recent years. It plays an essential role in many modern industrial applications, such as autonomous driving and virtual/augmented reality. To keep up with the ever-growing application requirements and meet the three progressive goals of ease of storage, transmission, and processing, it is of increasing significance to research and develop efficient compression algorithms to deal with the huge amount of point clouds. Point cloud compression technologies have become research hotspots for the past few years. With the development of multimedia technology, 3D vision has aroused extensive research enthusiasm. The basis of 3D vision is to model the exterior surface of a continuous 3D model. Point cloud is a widely used representation of 3D geometric models. Point cloud compression technologies have become an essential branch of 3D computer vision. Point cloud is a collection of discrete sampling points on underlying surfaces embedded in 3D space. Point cloud compression refers to the compression of point cloud data to reduce the occupation of storage space and transmission bandwidth. Point cloud compression technologies employ lossless or lossy compression methods to eliminate redundant information, making it widely applicable in 3D data processing, computer vision, robotics, and other related fields.

Название: New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics
Автор: Oscar Castillo, Patricia Melin
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2024
Страниц: 422
Язык: английский
Формат: pdf (true), epub
Размер: 52.9 MB

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networks and optimization algorithms are envisioned. In addition, the abovementioned methods are discussed in application areas such as control and robotics, pattern recognition, medical diagnosis, decision-making, prediction and optimization of complex problems. There are a group of papers with the main theme of type-1, type-2 and type-3 fuzzy systems, which basically consists of papers that propose new concepts and algorithms based on type-1, type-2 and type-3 fuzzy logic and their applications. There is also a group of papers that offer theoretical concepts and applications of meta-heuristics in different areas. Another group of papers outlines diverse applications of hybrid intelligent systems in real problems. There are also a group papers that present theory and practice of neural networks in different applications. Finally, there are papers that offer theory and practice of optimization and evolutionary algorithms in different application areas.