Название: Software Development Lifecycle Made Simple: A Practical Guide with Examples
Автор: William E. Clark
Издательство: Nobtrex LLC
Год: 2025
Страниц: 434
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Software Development Lifecycle Made Simple: A Practical Guide with Examples offers a clear and comprehensive introduction to the processes, principles, and best practices of modern software development. Designed for beginners and aspiring professionals, this book demystifies the complexities of the software development lifecycle (SDLC), guiding readers step by step from foundational programming concepts to the structured methodologies that drive successful projects. The book is organized to mirror real-world workflows, covering every phase of development including planning, requirements analysis, design, implementation, testing, deployment, and ongoing maintenance. Each chapter breaks down essential topics such as algorithms, programming languages, debugging, version control, collaborative practices, quality assurance, security, and project management. A continuous case study reinforces each concept by demonstrating how it applies to a practical software project, making the principles tangible and directly relevant to actual development scenarios.

Название: The Complete Java Engineer: Architecture, Cloud, and Professional Growth for the Next Generation
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1030
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The Complete Java Engineer: Architecture, Cloud, and Professional Growth for the Next Generation is a comprehensive guide for Java developers seeking to excel in today's fast-evolving software landscape. This book covers the full spectrum of modern Java engineering, from mastering the language's latest features to architecting scalable cloud-native applications. Readers will gain practical insights into advanced programming techniques, microservices, containerization, and DevOps practices, all tailored to the demands of enterprise and startup environments. Beyond technical mastery, the book emphasizes essential software engineering practices, collaboration, and leadership skills necessary for career advancement. Each chapter is designed to be accessible yet thorough, drawing inspiration from industry classics like Effective Java and Clean Code, while integrating up-to-date best practices and real-world scenarios. Whether you are an aspiring developer, a seasoned engineer, or a tech lead, this guidebook will help you navigate technical challenges, build robust systems, and future-proof your career.

Название: Building Integrations with Mulesoft: Integrating Systems and Unifying Data in the Enterprise (Final Release)
Автор: Pooja Kamath, Diane Kesler
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 393
Язык: английский
Формат: epub
Размер: 12.98 MB

Is your organization planning to adopt automation in the near future? This concise yet comprehensive guide shows developers and architects how to effectively tackle data integration challenges with MuleSoft. Authors Pooja Kamath and Diane Kesler guide you through the process necessary to build robust and scalable integration solutions. Supported by real-world use cases, Building Integrations with MuleSoft teaches you effective ways to identify and resolve performance bottlenecks, handle errors, and ensure the reliability and scalability of your integration solutions. The goal of this book is to give you a linear coverage of what is required to get up and running and launch an API to production. We understand that software development is an iterative process, and in the real world you will have to bounce back and forth between processes for the successful delivery of applications. MuleSoft is a very big topic with a lot of products; we won’t be able to cover it all. With the help of a use case, we will learn how to create an API, develop, test, and deploy it. We won’t be covering topics related to the broader topic of API management.

Название: Mathematical Optimization for Machine Learning: Proceedings of the Math+ Thematic Einstein Semester 2023
Автор: Konstantin Fackeldey, Aswin Kannan, Sebastian Pokutta, Kartikey Sharma, Daniel Walter
Издательство: De Gruyter
Год: 2025
Страниц: 212
Язык: английский
Формат: pdf (true), epub
Размер: 27.5 MB

Mathematical optimization and Machine Learning are closely related. This proceedings volume of the Thematic Einstein Semester 2023 of the Berlin Mathematics Research Center MATH+ collects recent progress on their interplay in topics such as discrete optimization, nonlinear programming, optimal control, first-order methods, multilevel optimization, Machine Learning in optimization, physics-informed learning, and fairness in Machine Learning. Mathematical optimization often focuses on accuracy, computational efficiency, and robustness while Machine Learning (ML) aims to achieve effective results on real data sets, in particular concentrating on generalization, robustness, and resilience (to, e.g., perturbations of the inputs).

Название: Angular 19.2: The Complete Developer's Guide
Автор: Lucas Wiig
Издательство: Independently published
Год: 2025
Страниц: 457
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB

Unlock the power of Angular with Angular 19.2: The Complete Developer's Guide, the ultimate resource for mastering one of the most popular frameworks in modern web development. Whether you're a beginner or seasoned developer, this book is your pathway to building dynamic, scalable web applications. Angular 19.2: The Complete Developer's Guide provides an in-depth, hands-on approach to learning Angular, the robust jаvascript framework used by developers worldwide. This guide walks you through everything from setting up your environment to building complex applications, with clear explanations and practical examples along the way. You’ll learn how to leverage Angular's powerful features like dependency injection, RxJS, routing, forms, and advanced architecture. With updates specific to Angular 19.2, this book ensures you're working with the latest tools and techniques, preparing you to tackle any project with confidence. Whether you’re building enterprise-scale applications or simple web apps, this guide covers it all.

Название: Java for Programmers: with Generative AI, 5th Edition
Автор: Paul Deitel, Harvey Deitel
Издательство: Pearson Education
Год: 2025
Страниц: 1136
Язык: английский
Формат: epub
Размер: 86.8 MB

The professional programmer's Deitel(R) guide to Java with integrated Generative AI. Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity.

Название: Mastering Excel VBA Programming: A Hands-On Guide to Automating Excel and Building Custom Solutions with VBA and Macros
Автор: Nathan George
Издательство: GTech Publishing
Год: 2025
Страниц: 648
Язык: английский
Формат: epub
Размер: 13.6 MB

Leverage the full power of Excel automation! This guide will provide you with all the information you need to automate any task in Excel and save time and effort. Learn how to extend Excel's functionality with VBA to create solutions not possible with the standard features. Mastering Excel VBA Programming takes you step-by-step from beginner to expert in Excel VBA. This book starts with the basics, so you don't need prior programming experience to begin creating powerful solutions for your data with Excel VBA today. If you already have some experience with this popular application, this book will enhance your knowledge and experience. Mastering Excel VBA Programming is a practical guide, and it comes with several practice labs and downloadable solution files that enable you to follow the examples in the book hands-on. Screenshots illustrate the concepts, features, and tasks covered. This book covers Excel 2024 and the latest version of Excel for Microsoft 365 (2025 update).

Название: Generative AI for Trading and Asset Management
Автор: Hamlet Jesse Medina Ruiz, Ernest Chan
Издательство: Wiley
Год: 2025
Страниц: 320
Язык: английский
Формат: epub (true)
Размер: 10.9 MB

Expert guide on using AI to supercharge traders' productivity, optimize portfolios, and suggest new trading strategies. Generative AI for Trading and Asset Management is an essential guide to understand how Generative AI has emerged as a transformative force in the realm of asset management, particularly in the context of trading, due to its ability to analyze vast datasets, identify intricate patterns, and suggest complex trading strategies. Practically, this book explains how to utilize various types of AI: unsupervised learning, supervised learning, reinforcement learning, and large language models (LLMs) to suggest new trading strategies, manage risks, optimize trading strategies and portfolios, and generally improve the productivity of algorithmic and discretionary traders alike. These techniques converge into an algorithm to trade on the Federal Reserve chair's press conferences in real time.

Название: Ultimate Azure AI Services for Gen AI Solutions: Build Advanced Gen AI Solutions with Azure OpenAI, LangChain and Vector Databases to Enhance Efficiency, and Revolutionize Enterprise Operations
Автор: Shanthababu Pandian
Издательство: Orange Education Pvt Ltd
Год: 2025
Страниц: 501
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Master Generative AI with Azure OpenAI, AI Services, and advanced tools for real-world applications! Azure OpenAI provides unparalleled access to cutting-edge AI models, empowering enterprises to innovate, automate, and drive transformative business outcomes at scale. Ultimate Azure AI Services for Gen AI Solutions is your gateway to mastering Azure OpenAI and Azure AI services. Whether you’re just starting out or looking to refine your skills, this book covers everything from foundational concepts to advanced techniques. Dive into topics like Large Language Models (LLMs), LangChain, vector databases, embeddings, and Python programming, with a focus on key Azure components such as Storage, Search Services, Azure OpenAI Studio, and Prompt Flow. This book is tailored for Generative AI enthusiasts, professionals, and developers looking to upskill in Generative AI and integrate it into real-world applications. A basic understanding of Python and Azure is helpful but not required, as the book provides a structured approach to mastering AI implementation with Python and Azure services.

Название: Python Programming: Machine Learning & Data Science, Scikit-learn, TensorFlow, PyTorch, XGBoost, Statsmodels
Автор: e3
Издательство: Independently published
Год: 2025
Страниц: 1526
Язык: английский
Формат: epub (true)
Размер: 11.9 MB

Machine Learning is no longer a distant frontier reserved for data scientists and engineers in elite labs—it has become an essential toolkit for anyone seeking to derive insights from data, build predictive systems, or explore Artificial Intelligence. The landscape of machine learning is both vast and rapidly evolving, and understanding it requires more than just learning a few algorithms or copying code from tutorials. It requires a deep comprehension of core principles, preprocessing strategies, model building, evaluation techniques, and the ability to connect theoretical foundations with practical implementations. This book is designed to guide learners through the essential building blocks of Machine Learning, progressing from foundational preprocessing techniques to complex model evaluation and optimization strategies. Each section is crafted to demystify core concepts while grounding them in hands-on, real-world applications using Python libraries such as Scikit-learn.