Название: Cloud-Native Application Architecture: Microservice Development Best Practice
Автор: FreeWheel Biz-UI Team
Издательство: Springer/Publishing House of Electronics Industry
Год: 2024
Страниц: 397
Язык: английский
Формат: pdf (true)
Размер: 36.7 MB

The authors of this book explore a way to build cloud-native microservice applications, based on years of practice. Presenting a range of real-world scenarios, from design, development, and testing to deployment, the book shows how teams can leverage cloud-native technologies to develop applications, covering the full lifecycle. Further, it consistently combines theory and practice, and comprehensively analyzes how to implement core cloud-native technologies such as container, service mesh, serverless, continuous integration, and deployment. Given its scope, the book offers a valuable asset for all architects, engineers, and technological decision-makers with an interest in microservices and cloud-native technologies. The content of the book covers full development lifecycle. No matter what architecture style is used to build a system, it is bound to go through the complete process from design to deployment, and the same is true for microservice applications. Especially with the addition of cloud-native technologies, the development approach and design mindset will be different in many aspects such as technology selection, implementation, and deployment. Therefore, we do not talk about these technologies in a discrete way, but introduce the knowledges of the software development lifecycle step by step based on the development process, in order to bring readers a reasonable and smooth reading experience. From technology selection to service splitting; from agile development to code management; from service governance to quality assurance, the corresponding technologies and practices are shown to readers how to integrate cloud-native technologies into each part of the software development lifecycle.

Название: Unsupervised Machine Learning: with Python
Автор: Hayden Van Der Post, Mike Smith
Издательство: Reactive Publishing
Год: December 28, 2023
Страниц: 371
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Dive into the world of Artificial Intelligence with "Unsupervised Machine Learning with Python," the essential guide forprofessionals eager to master the most sophisticated analysis skills and unlock new dimensions of data interpretation. Building on the knowledge foundation of those who have already ventured into the realm of supervised Machine Learning, this book takes you one step further into the nuanced techniques that are shaping the future of AI. As a follow-up to our top-selling predecessor, this in-depth resource is perfectly tailored for analysts, data scientists, and curious minds looking to leverage Python for advanced Machine Learning tasks. With a clear, practical approach, it demystifies the complex algorithms and models that underpin unsupervised learning frameworks. Unsupervised learning, a pivotal branch of machine intelligence, thrives on the premise that even in the absence of explicit instructions, profound insights can be extracted from raw data. At the heart of unsupervised learning lies the ability of algorithms to identify patterns and structures within datasets without prior labeling or classification, a task emblematic of human cognitive adaptability. Python, the lingua franca of machine learning, offers a versatile toolkit for implementing unsupervised learning models.

Название: Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
Автор: Punit Gupta, Dinesh Kumar Saini, Kashif Zia
Издательство: CRC Press
Год: 2024
Страниц: 263
Язык: английский
Формат: pdf (true)
Размер: 18.3 MB

In recent years, soft computing techniques have emerged as a successful tool to understand and analyze the collective behavior of service- oriented computing software. Algorithms and mechanisms of self- organization of complex natural systems have been used to solve problems, particularly in complex systems, which are adaptive, ever- evolving, and distributed in nature across the globe. What fits more perfectly into this scenario other than the rapidly developing era of Fog, IoT, and Edge computing environment? Service- oriented computing can be enhanced with soft computing techniques embedded inside the Cloud, Fog, and IoT systems. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing explores soft computing techniques that have wide application in interdisciplinary areas. These soft computing techniques provide an optimal solution to the optimization problem using single or multiple objectives.The book focuses on basic design principles and analysis of soft computing techniques. It discusses how soft computing techniques can be used to improve quality-of-service in serviceoriented architectures. The book also covers applications and integration of soft computing techniques with a service-oriented computing paradigm. Highlights of the book include: Soft computing also collaborates with various intelligent techniques used. (1) neural networks (NNs); (2) fuzzy logic; (3) genetic algorithm; (4) decision tree; (5) case base reasoning; (6) Probabilistic Reasoning (PR); and (7) Evolutionary Computation (EC) and other techniques of soft computing.

Название: Simplified Quantum Computing with Applications
Автор: Koji Nagata, Do Ngoc Diep, Ahmed Farouk, Tadao Nakamura
Издательство: IOP Publishing
Год: 2022
Формат: PDF
Страниц: 155
Размер: 12.21 MB
Язык: English

Even today, quantum computing is still at a developing stage. The feature of this book is from introduction to deeply investigated research results. Therefore, the contents are fully satisfied with the authors' earnest will to transfer their concepts to the readers.

Название: Quantum Computing for Programmers
Автор: Robert Hundt
Издательство: Cambridge University Press
Год: 2022
Формат: PDF
Страниц: 375
Размер: 10,54 MB
Язык: English

This introduction to quantum computing from a classical programmer's perspective is meant for students and practitioners alike. Over 25 fundamental algorithms are explained with full mathematical derivations and classical code for simulation, using an open-source code base developed from the ground up in Python and C++.

Название: Foundations of Linux Debugging, Disassembling, and Reversing: Analyze Binary Code, Understand Stack Memory Usage, and Reconstruct C/C++ Code with Intel x64
Автор: Dmitry Vostokov
Издательство: Apress
Год: 2023
Страниц: 181
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

Review topics ranging from Intel x64 assembly language instructions and writing programs in assembly language, to pointers, live debugging, and static binary analysis of compiled C and C++ code. This book is ideal for Linux desktop and cloud developers. Using the latest version of Debian, you’ll focus on the foundations of the diagnostics of core memory dumps, live and postmortem debugging of Linux applications, services, and systems, memory forensics, malware, and vulnerability analysis. This requires an understanding of x64 Intel assembly language and how C and C++ compilers generate code, including memory layout and pointers. This book provides the background knowledge and practical foundations you’ll need in order to master internal Linux program structure and behavior. It consists of practical step-by-step exercises of increasing complexity with explanations and ample diagrams. You’ll also work with the GDB debugger and use it for disassembly and reversing. By the end of the book, you will have a solid understanding of how Linux C and C++ compilers generate binary code. In addition, you will be able to analyze such code confidently, understand stack memory usage, and reconstruct original C/C++ code. Foundations of Linux Debugging, Disassembling, and Reversing is the perfect companion to Foundations of ARM64 Linux Debugging, Disassembling, and Reversing for readers interested in the cloud or cybersecurity.

Название: Beginning C++ Compilers: An Introductory Guide to Microsoft C/C++ and MinGW Compilers
Автор: Berik I. Tuleuov, Ademi B. Ospanova
Издательство: Apress
Год: 2024
Страниц: 219
Язык: английский
Формат: pdf (true), epub (true)
Размер: 22.6 MB

This book focuses on how to install C/C++ compilers on Linux and Windows platforms in a timely and efficient way. Installing C/C++ compilers, especially Microsoft compilers, typically takes quite a lot of time because it comes with Microsoft Visual Studio for the vast majority of users. Installing Visual Studio requires usually about 40 GB of disk space and a large amount of RAM, so it is impossible to use weak hardware. The authors provide an easy way to deploy Microsoft C/C++ compiler: with no disk space headache and hardware resources lack. The method described saves significant time since software can even be deployed on removable devices, such as flash sticks, in an easy and portable way. It is achieved by using Enterprise Windows Driver Kit (EWDK), single big ISO image, which can be mounted as virtual device and used directly without any installation. EWDK contains everything from Visual Studio except IDE. EWDK also allows to use MASM64 (Microsoft Macro-Assembly) and C# compilers. With the aid of the MSBuild System, one can compile Visual Studio Projects (.vcxproj) and Solutions (.sln) without even using Visual Studio! Similarly, MinGW compilers can be deployed from 7z/zip archives, simply by unpacking into appropriate location. Both Microsoft C/C++ and MinGW compilers can be used as portable software?an approach that does not require administrative privileges at all. For reader of all skills who wants to save time and efforts to start to work with C++.

Название: Beginning Anomaly Detection Using Python-Based Deep Learning: Implement Anomaly Detection Applications with Keras and PyTorch, 2nd Edition
Автор: Suman Kalyan Adari, Sridhar Alla
Издательство: Apress
Год: 2024
Страниц: 538
Язык: английский
Формат: pdf (true), epub (true)
Размер: 51.1 MB

This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge Machine Learning and Deep Learning techniques. This updated second edition focuses on supervised, semi-supervised, and unsupervised approaches to anomaly detection. Over the course of the book, you will learn how to use Keras and PyTorch in practical applications. It also introduces new chapters on GANs and transformers to reflect the latest trends in Deep Learning. Beginning Anomaly Detection Using Python-Based Deep Learning begins with an introduction to anomaly detection, its importance, and its applications. It then covers core Data Science and Machine Learning modeling concepts before delving into traditional Machine Learning algorithms such as OC-SVM and Isolation Forest for anomaly detection using Scikit-learn. Following this, the authors explain the essentials of Machine Learning and Deep Learning, and how to implement multilayer perceptrons for supervised anomaly detection in both Keras and PyTorch. After completing this book, you will have a thorough understanding of anomaly detection as well as an assortment of methods to approach it in various contexts, including time-series data. Additionally, you will have gained an introduction to Scikit-learn, GANs, transformers, Keras, and PyTorch, empowering you to create your own Machine Learning- or Deep Learning-based anomaly detectors. For data scientists and Machine Learning engineers of all levels of experience interested in learning the basics of Deep Learning applications in anomaly detection.

Название: Python в нескучных примерах (50)
Автор: Алекс Ерофеев
Издательство: stepik
Год: 2023
Формат: Docx
Страниц: много
Размер: 147 Mb
Язык: Русский

Для того чтобы научится программировать - нужно много программировать, совершать ошибки, править код, узнавать как можно сделать код лучше, делать код лучше, и продолжать программировать. В этом курсе нет воды, только большое количество примеров на основании которых вы можете написать много своего кода и стать лучше.

Название: Ultimate Enterprise Data Analysis and Forecasting using Python: Leverage Cloud platforms with Azure Time Series Insights and AWS Forecast Components for Time Series Analysis and Forecasting with Deep learning Modeling using Python
Автор: Shanthababu Pandian
Издательство: Orange Education Pvt Ltd, AVA
Год: December 2023
Страниц: 503
Язык: английский
Формат: epub (true)
Размер: 18.3 MB

Practical Approaches to Time Series Analysis and Forecasting using Python for Informed Decision-Making. This book covers various aspects of Time Series Analysis and Forecasting using the Python language, emphasizing the importance of time series analysis from an industry perspective for in-depth analysis and forecasting, with real-time use cases and required examples. The primary objective of this book is to provide a detailed pack of time series analysis and forecasting methods, essential in the current digital market, and grow business opportunities using various techniques from an AIML perspective. This book aims to connect the Time Series and Forecasting problem statements across multiple industries and demonstrate how to provide solutions using currently available tools, technology, and evidence of success stories. This book promises that by the end of the reading, the readers will understand time series and forecasting techniques, and also learn how to analyze, design, and maintain the solutions. In this manner, readers can follow the correct path to take the time series components, work on them with Python packages, and understand the data for analysis and productive solutions, such as predicting or forecasting. This book covers the expectations of Data Analysts, Data Scientists, and Machine Learning Engineers who will be involved in time series analysis and forecasting-related projects. This book helps those interested in time series analysis. The book begins with an introduction to Python and its essential packages. It then delves into various aspects of time series data analysis and models from both traditional and ML methods, followed by their implementation in the cloud environment.