Название: Professional REST API Development with Flask and Python: Mastering API Creation Using Python, Flask, Docker, Flask-Smorest, and Flask-SQLAlchemy
Автор: R. Parvin
Издательство: Independently published
Год: 2024
Страниц: 672
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Embark on a journey to become a proficient REST API developer with this comprehensive guide, tailored for Python enthusiasts and aspiring backend engineers. This book takes you step-by-step through the entire API development lifecycle, from foundational concepts to advanced techniques, empowering you to build robust, scalable, and secure APIs that power modern web applications. In this comprehensive guide, you’ll embark on a journey to master the art of creating robust, scalable, and well-structured REST APIs using the powerful combination of Python, Flask, and essential tools like Docker, Flask-Smorest, and Flask-SQLAlchemy. Who This Book Is For: - Python Developers: If you’re comfortable with Python and want to expand your skills into the world of API development, this book is perfect for you; - Web Developers: Whether you’re familiar with Flask or other web frameworks, you’ll gain valuable insights into building APIs that power modern web applications; - Backend Engineers: Enhance your backend development expertise by mastering the creation of RESTful APIs that serve as the backbone of various applications. Unlock the potential of Flask and Python to build professional-grade REST APIs that drive innovation and connectivity in the digital world. Get your copy today and embark on your journey to becoming a proficient API developer!

Название: AI and Data Engineering Solutions for Effective Marketing
Автор: Lhoussaine Alla, Aziz Hmioui, Badr Bentalha
Издательство: IGI Global
Год: 2024
Страниц: 520
Язык: английский
Формат: pdf (true), epub
Размер: 26.4 MB

In the world of contemporary marketing, a challenge exists - the relationship between data engineering, Artificial Intelligence (AI), and the essential elements of effective marketing. Businesses find themselves at a crossroads, grappling with the imperative to navigate this complex landscape. This challenge serves as the backdrop for the exploration in AI and Data Engineering Solutions for Effective Marketing, a comprehensive reference tailored for academic scholars. Seamlessly integrating theoretical models with real-world applications, the book delves into critical facets of strategic and operational marketing. From the adoption of Data Science techniques to grappling with Big Data's vast potential, it offers a guide for academics seeking profound insights into the future of marketing strategies and their efficient execution. Designed for researchers, practitioners, and students with an interest in the intersection of Artificial Intelligence, data engineering, and marketing, this book serves as a guide for implementing new marketing management solutions and optimizing their operational efficiency. While the primary audience is researchers and practitioners in the field, the book is also tailored to benefit students seeking a deep understanding of the latest developments in marketing.

Название: No-Code: AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
Автор: Min Soo Kang, Sung Yul Park, Myung-Ae Chung, Dong-hun Han
Издательство: World Scientific Publishing
Год: 2024
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 134.8 MB

This book is a beginner-friendly guide to Artificial Intelligence (AI), ideal for those with no technical background. It introduces AI, Machine Learning, and Deep Learning basics, focusing on no-code methods for easy understanding. The book also covers data science, data mining, and big data processing, maintaining a no-code approach throughout. Practical applications are explored using no-code platforms like Microsoft Azure Machine Learning and AWS SageMaker. Readers are guided through step-by-step instructions and real-data examples to apply learning algorithms without coding. Additionally, it includes the integration of business intelligence tools like Power BI and AWS QuickSight into machine learning projects.This guide bridges the gap between AI theory and practice, making it a valuable resource for beginners in the field.

Название: Data Structures and Algorithms
Автор: Shubham Gupta
Издательство: Toronto Academic Press
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 124.8 MB

This book introduces the fundamental concepts of data structures and algorithms. It covers topics such as arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and hashing. The book is written to help students and professionals in computer science and programming understand how to use data structures and algorithms to solve complex problems efficiently. Whether you are a beginner or an experienced programmer, this book provides valuable insights into the world of data structures and algorithms. Data structures are specialized formats for organizing, storing, and manipulating data in computer programs. There are several types of data structures, including arrays, linked lists, stacks, queues, and trees. Algorithms are a set of instructions or procedures that are designed to solve a specific computation problem. The discussion of the book starts with the fundamentals of data structures and algorithms, followed by the classification of algorithms used in data structures. Also, the concept of arrays and sets used in data structures and the selection of algorithms are described in detail in this book. The fundamental concept of two very important data structures, stacks, and queues, is also explained in detail. Another important data structure known as a tree, which consists of nodes connected by edges, is described in the book. The fundamental search algorithms that are used to locate an element within the structure are also part of this book. Lastly, the governance of algorithms and limitations of governance options are described in detail at the end of this book.

Название: Confident DevOps: The Essential Skills and Insights for DevOps Success
Автор: Mark Peters
Издательство: Kogan Page
Год: 2024
Страниц: 305
Язык: английский
Формат: pdf (true), epub
Размер: 28.1 MB

The global DevOps market is valued at over $8 billion. But this vital sector remains complex and intimidating for many. Unlock your full potential and uncover the key insights with Confident DevOps. DevOps is defined by the practices, methodologies and tools which are necessary for any software development endeavour to succeed. It is a unique and fascinating discipline, which requires technical expertise, managerial skills and strong communication skills. Confident DevOpsguides you through the entire software development lifecycle. offering insights on key topics including system architecture and cyber security. With fascinating insights on the various career paths and opportunities, this book offers the practical skills, knowledge and confidence you need to develop your DevOps expertise and pursue a successful career. The book contains 11 chapters in four parts. The first part promotes some basic learning about DevOps concepts and principles to ensure a common vocabulary. Each of the chapters in the second part offers a people, process and technology approach to ensure that you can hire the right people, implement the right processes and deploy the right technology for continued success. The third part delves into the all-important DevOps mindset, while the fourth part explores ongoing developments in the DevOps space, uncovering what the future might hold.

Название: Python Computer Science
Автор: Christopher Topalian
Издательство: College of Scripting Music & Science
Год: 2024
Язык: английский
Формат: pdf
Размер: 10.1 MB

This book is an introduction to Python, but makes sure the student knows how to organize projects no matter how complex that they may have at first seemed. We teach using .md files in VSCode to streamline our organization. This allows us to make a Table of Contents inside of VSCode which makes organizing very large code projects very easy. This also works on github using the very same links! Happy Scripting :-)

Название: Sign Language Processing: From Gesture to Meaning
Автор: Achraf Othman
Издательство: Springer
Год: 2024
Страниц: 171
Язык: английский
Формат: pdf (true), epub
Размер: 23.7 MB

In a world where communication is key to human connection, understanding, and learning from one another, the book investigates the rich and intricate world of sign languages, highlighting the fascinating complexities of visual-spatial languages and their unique role in bridging the gap between hearing and deaf communities through information and communication technology. The book takes a journey through the evolution of sign language processing tools while exploring the cutting-edge techniques used to decipher, analyze, and process them, from the fundamentals of sign language structure and the nuances of non-manual signals to the latest developments in computational linguistics (corpora design, annotation tools, and notation systems), sign language recognition, and machine/deep learning applications. The book’s central focus is sign language processing, covering a range of topics, including natural language processing, gesture recognition, motion tracking technologies, and Machine Learning approaches. The challenges and limitations inherent in these fields are discussed, offering a balanced and informed perspective on the current state of sign language processing technology. With a mission to reveal the silent language of expression, the author provides a captivating and thought-provoking look into a world often overlooked yet teeming with life and meaning. Offering a comprehensive and engaging overview of the current state of sign language research as well as its prospects, this monograph is an introduction resource for Computer Scientists, linguistics, educators, academics and sign language interpreters alike.

Название: Quantum Computing: Innovations and Applications in Modern Research
Автор: Bruno Carpentieri
Издательство: ITexLi
Год: 2024
Страниц: 105
Язык: английский
Формат: pdf
Размер: 10.1 MB

This volume explores the potential of quantum technologies. The book features insightful perspectives on quantum mechanics, computational paradigms, and practical applications, and it explores key concepts such as quantum entanglement, adiabatic computing, and quantum algorithms. Readers will discover how quantum systems are revolutionizing fields like cryptography, materials science, and artificial intelligence, promising faster computations and significant advances. Through a blend of theoretical exploration and practical insights, this book navigates the complexities of quantum communication, error correction, and the development of scalable quantum architectures. Ideal for researchers, students, and enthusiasts alike, it offers a gateway to understanding the current capabilities and future directions of quantum computing, demonstrating its potential for transforming technical developments and pushing scientific frontiers.

Название: Mathematical Introduction to Data Science
Автор: Sven A. Wegner
Издательство: Springer
Год: 2024
Страниц: 301
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Knowledge in the areas of Data Science and Machine Learning is increasingly expected from mathematics graduates and consequently, students of mathematics ask for these subjects to be included in the standard curricula. The idea behind this textbook is to present canonical Data Science and Machine Learning topics in a form tailored to the target audience of mathematics students. In doing so, our number one priority is a rigorous treatment that fosters profound understanding of the methods discussed. This includes in particular to always work out why exactly a method succeeds and to outline its limitations. This textbook is intended for students of mathematics who have completed the foundational courses of their undergraduate studies and now want to specialize in Data Science and Machine Learning. It introduces the reader to the most important topics in the latter areas focusing on rigorous proofs and a systematic understanding of the underlying ideas. The textbook comes with 121 classroom-tested exercises. Topics covered include k-nearest neighbors, linear and logistic regression, clustering, best-fit subspaces, principal component analysis, dimensionality reduction, collaborative filtering, perceptron, support vector machines, the kernel method, gradient descent and neural networks.

Название: Pro Spring Boot 3: An Authoritative Guide with Best Practices, 3rd Edition
Автор: Felipe Gutierrez
Издательство: Apress
Год: 2024
Страниц: 937
Язык: английский
Формат: pdf (true), epub (true)
Размер: 32.6 MB

This book will teach you how to build complex Spring applications and microservices out of the box, with minimal concern over things like configurations. Pro Spring Boot 3 will show you how to fully leverage Spring Boot 3's robust features and how to apply them to create enterprise-ready applications, microservices, and web/cloud applications that just work. Special focus is given to what's been added in the new Spring Boot 3 release, including support for Java 17 and 19; changes to Spring Security; Spring Boot Actuator with Micrometer updates; GraalVM support; RSocket service interfaces; many dependency upgrades; more flexible support for Spring Data JDBC, the new AOT (Ahead-of-Time Transformation); and much more. This book is your authoritative, pragmatic guide for increasing your enterprise Java and cloud application productivity while decreasing development time. It's a no-nonsense reference packed with casestudies that increase in complexity over the course of the book. The author, a senior solutions architect and Principal Technical instructor with VMware, the company behind the Spring Framework, shares his experience, insights, and firsthand knowledge about how Spring Boot technology works and best practices for getting the most out of it. This is an essential book for your Spring learning and reference library. For experienced Spring and Java developers seeking increased productivity gains and decreased complexity and development time in their applications and software services.