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[booksz]

Build Your First Home Server
English | 2025 | ASIN: B0DWM4NZ3M | 143 pages | EPUB (True) | 4.89 MB
Build Your Own Home Media Server

Learn How to Use Proxmox, Docker, Jellyfin, Sonarr, Radarr, Lidarr, Immich, Navidrome, WireGuard
Are you tired of relying on third-party streaming services with expensive subscriptions, limited content, and privacy concerns? Take full control of your entertainment by building your own home media server!
This comprehensive guide walks you through the process of setting up a powerful, self-hosted system using Proxmox, Docker, Jellyfin, Sonarr, Radarr, Lidarr, WireGuard, Immich, Navidrome, and more. Whether you're a beginner or an advanced user, this book provides step-by-step instructions to help you create a seamless, automated media experience.
What You'll Learn:
Proxmox & Virtualization - Install and configure Proxmox to manage virtual machines and containers efficiently.
Docker & Media Management - Use Docker and *Arr apps (Sonarr, Radarr, Lidarr) to automate downloads and organization.
Jellyfin for Streaming - Host your own Netflix-style media library with Jellyfin.
WireGuard VPN - Securely access your media from anywhere in the world.
Immich for Photos & Videos - Store, organize, and access your personal memories with a private cloud.
Lidarr & Navidrome for Music - Create your personal Spotify-like experience with self-hosted music streaming.
NextCloud for File Storage - Set up your own cloud storage to replace Google Drive or Dropbox.
Advanced Automation & Scripts - Explore additional tools and custom scripts to enhance your server.
With easy-to-follow instructions, illustrations, and real-world examples, this book is perfect for hobbyists, IT professionals, and privacy-conscious users.

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[booksz]

Build Your Own AI: Hands-On Projects in Deep Learning (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence Book 10)
English | 2025 | ASIN: B0DWN9KHVS | 370 pages | Epub | 2.09 MB
Master Deep Learning by Building Real-World AI Projects!

AI is transforming the world, from self-driving cars and intelligent chatbots to AI-generated art and powerful recommendation systems. But how do you go beyond theory and start building your own AI models?
Build Your Own AI: Hands-On Projects in Deep Learning is a practical, project-based guide that teaches you how to create and deploy AI models from scratch. As the 10th book in the AI From Scratch series, this book is designed for beginners, developers, and AI enthusiasts who want to gain hands-on experience with deep learning using Python, TensorFlow, and PyTorch.
What You'll Learn in This Book
This book is divided into three sections to help you systematically learn AI development:
Part 1: Foundations of Deep Learning
Understanding neural networks, activation functions, and backpropagation
Setting up Python, Jupyter Notebook, TensorFlow, and PyTorch for AI development
Implementing your first neural network from scratch
Part 2: Hands-On AI Projects
This section covers six real-world AI projects, each with step-by-step code and explanations:
Image Classification with CNNs - Build a deep learning model to recognize handwritten digits and objects.
AI Chatbot with NLP & Transformers - Train a chatbot using LSTMs, GPT, and BERT for intelligent conversations.
AI-Powered Recommendation System - Develop a personalized recommendation engine for books, movies, or e-commerce.
Object Detection with YOLO & SSD - Train AI to detect objects in images and real-time video.
AI-Generated Art with GANs - Create AI-generated artwork using Generative Adversarial Networks.
AI for Self-Driving Cars - Implement reinforcement learning to train an autonomous vehicle simulation.
Part 3: Deploying & Optimizing AI Models
Convert AI models for deployment on mobile, web, and cloud platforms
Optimize performance with hyperparameter tuning, model pruning, and quantization
Explore ethical AI development, safety, and the future of artificial intelligence
Who Is This Book For?
Beginners & AI Enthusiasts - Learn AI step by step, even if you're new to deep learning.
Developers & Data Scientists - Apply AI to real-world projects and enhance your skills.
Students & Researchers - Gain practical experience in AI model training and deployment.
Why Choose This Book?
Project-Based Learning - Learn by doing, with real-world AI applications.
Industry-Relevant Skills - Build AI models used in business, research, and tech industries.
Step-by-Step Guidance - Full Python code and explanations for every project.

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Build Your Own PC: A Step-by-Step Guide for Teens (Next Gen Skills: A How To DIY Series For All Ages Book 1)
English | 2025 | ASIN: B0F1ZFSNT7 | 93 pages | Epub | 1.25 MB
Ever wanted to build your own computer but didn't know where to start? This book makes it easy!

Designed for beginners and tech-curious teens, this hands-on guide walks you through choosing the right parts, assembling your PC, installing software, and troubleshooting common issues-all in a way that's clear, fun, and stress-free.
Inside, you'll learn how to:
✔ Pick the best components for your budget
✔ Assemble your PC step by step
✔ Install an operating system and essential software
✔ Upgrade and maintain your computer over time
Whether you're building a gaming rig, a schoolwork powerhouse, or just love tech, this book will give you the confidence to build, customize, and master your own PC!

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Institute of Medicine, National Academy of Engineering, Gary Fanjiang, "Building a Better Delivery System: A New Engineering/Health Care Partnership"
English | 2005 | pages: 277 | ISBN: 030909643X | PDF | 4,5 mb
In a joint effort between the National Academy of Engineering and the Institute of Medicine, this books attempts to bridge the knowledge/awareness divide separating health care professionals from their potential partners in systems engineering and related disciplines. The goal of this partnership is to transform the U.S. health care sector from an underperforming conglomerate of independent entities (individual practitioners, small group practices, clinics, hospitals, pharmacies, community health centers et. al.) into a high performance "system" in which every participating unit recognizes its dependence and influence on every other unit. By providing both a framework and action plan for a systems approach to health care delivery based on a partnership between engineers and health care professionals, Building a Better Delivery System describes opportunities and challenges to harness the power of systems-engineering tools, information technologies and complementary knowledge in social sciences, cognitive sciences and business/management to advance the U.S. health care system.

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Building a Career in AI: A Practical Guide for Aspiring Professionals
English | 2024 | ISBN: B0DPCZXJB8 | Pages: 98 | EPUB (True) | 462.02 KB
Artificial intelligence is reshaping industries, creating new opportunities, and revolutionizing the way we work and live. Are you ready to become part of this transformation? Whether you're a student curious about AI or a professional considering a career shift, this book is your ultimate guide to building a rewarding career in one of the most dynamic fields of our time.

Written by
Jayant Deshmukh
, a Certified Project Management Professional (PMP), accomplished AI practitioner, and seasoned leader in digital transformation, this book combines deep expertise with a human touch. Jayant has worked with top global financial institutions, orchestrating transformative AI-driven initiatives, and has traveled extensively, gaining unique insights into diverse cultures, industries, and challenges. With this wealth of experience, he delivers an engaging and practical roadmap tailored for aspiring AI professionals.
Inside, you'll discover:
A clear roadmap for beginners and professionals looking to enter AI.
Core skills you need to develop, including programming, mathematics, and domain knowledge.
Resources, tools, and platforms like Coursera, Kaggle, and TensorFlow to build a strong foundation.
Real-life stories of individuals who transitioned into AI and built thriving careers.
Expert advice on building a personal brand, acing AI interviews, and navigating career growth.
Why This Book Matters
The field of AI is rapidly growing, with a global demand for skilled professionals outpacing supply. This creates unparalleled opportunities for those who are prepared. However, starting your journey can feel overwhelming. This book bridges the gap, providing a clear, actionable framework to help you navigate the AI landscape with confidence.
Jayant's unique perspective-combining technical expertise, global industry experience, and an empathetic understanding of aspiring professionals' challenges-ensures that every chapter is both practical and inspiring. His engaging storytelling, combined with motivational quotes and interactive exercises, makes this book more than a guide; it's a mentor on your AI journey.
Who Should Read This Book
Students:
If you're in college and curious about AI, this book will guide you through building foundational skills, exploring career paths, and preparing for the job market.
Professionals:
If you're looking to transition into AI from another field, you'll find step-by-step strategies and inspiring examples to help you pivot successfully.
Aspiring Innovators:
If you dream of leveraging AI to create meaningful solutions, this book will equip you with the mindset, tools, and knowledge to make an impact.
Start Your AI Journey Today
The future belongs to those who embrace change and seize new opportunities. With
Building a Career in AI
, you'll gain not only technical knowledge but also the confidence and motivation to take the first step-and every step after-toward a fulfilling career in AI.
"The only limit to our realization of tomorrow will be our doubts of today."
- Franklin D. Roosevelt
This is more than a book; it's your companion in navigating the exciting and ever-evolving world of artificial intelligence. Whether you're starting small or dreaming big, your journey begins here.
Take the leap, embrace the possibilities, and let this book guide you to a future shaped by your potential and the limitless power of AI.
Are you ready to build your career in AI? The time is now!

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Building a Cyber Threat Intelligence Lab for Incident Response Excellence
English | 2024 | ISBN: B0DJN27CM4 | Pages: 81 | EPUB (True) | 36.02 KB
Building a Cyber Threat Intelligence Lab for Incident Response Excellence" offers a comprehensive guide to designing and deploying a state-of-the-art threat intelligence lab. Tailored for cybersecurity professionals, this book provides actionable insights on integrating cutting-edge technologies, methodologies, and strategies to enhance incident response capabilities, empowering teams to stay ahead of evolving threats.

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Building a Flask web app using Bootstrap and an SQLite database: A complete beginner-friendly learning path
English | 2025 | ASIN: B0F4JPNQWZ | 83 pages | Epub | 1.28 MB
Build Real-World Web Apps with Confidence - Even If You're a Complete Beginner!

Are you ready to unlock the full power of Python and web development? This is your comprehensive guide to creating dynamic, database-powered websites using today's most popular and beginner-friendly tools.
Whether you're a student, aspiring developer, or educator, this step-by-step guide walks you through building your own web applications from scratch using Flask, Bootstrap, and SQLite - no prior experience required!
What You'll Learn Inside:
Flask Made Simple - Understand the power of Flask, the lightweight Python web framework loved by developers and educators alike.
Hands-On Projects - Learn by doing. Build your first "Hello, World!" app, then advance through fully functional CRUD applications with a beautiful Bootstrap interface.
Modern Front-End Integration - Create responsive layouts and professional designs using Bootstrap components like navbars, cards, modals, and more.
Database Integration with SQLite - Store and retrieve data efficiently using SQLite and learn how to build forms, handle input, validate users, and more.
Build Secure Systems - Implement user authentication, password hashing, session management, and flash messages for a safe and personalized experience.
Organize Like a Pro - Adopt best practices for app structure using Blueprints, modular coding, and scalable folder organization.
Take It Live - Master deployment with Heroku, PythonAnywhere, Gunicorn, and Nginx. Learn how to manage secrets, backups, and environment variables.
Bonus Features - Go beyond the basics with AJAX, Chart.js, file uploads, pagination, and Flask-WTF integration.
Capstone Project - Cement your knowledge by building your own mini-project like a blog, contact manager, or inventory system - all guided step-by-step.
Perfect For:
Beginners and students studying web development or Python
Educators looking for a curriculum-ready resource
Developers transitioning into web-based applications
Anyone who wants to turn ideas into live, working websites!
With clear explanations, real-world examples, and best practices woven throughout, this book is your personal mentor in full-stack Python web development.

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Building AI Applications on the Web (MEAP V04) by Theo Despoudis
English | 2025 | ISBN: 9781633436084 | 406 pages | PDF,EPUB | 27.94 MB
Effectively integrate AI using Large Language Models (LLMs) into your web apps and sites.

Building AI Applications on the Web shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web developers comfortable with React or Next.js, this book introduces the tools and techniques you need to add sophisticated AI features like Retrieval Augmented Generation (RAG), document summarization, chatbots, and more to your web-based projects.
In Building AI Applications on the Web you'll learn how to:
Integrate AI models into React and Next.js applications
Implement streaming responses and real-time AI interactions
Manage conversation history and context in chat applications
Implement LangChain.js for complex AI workflows and reasoning
Build a web application for summarizing documents using LangChain.js
Utilize Retrieval-Augmented Generation (RAG) systems for knowledge management
Develop an AI-powered interview preparation system with voice feedback
Building AI Applications on the Web guides you through AI development using only JavaScript and other common web dev skills-no Python or Machine Learning experience required. You'll learn by working with full-scale AI projects that solve actual business problems. You'll soon be delivering user-friendly, efficient interfaces that make the absolute best use of AI tech.
about the book
Fully illustrated with stunning visuals and diagrams, Building AI Applications on the Web makes it easy to integrate AI features into your applications. The book introduces you to the instantly-intuitive Vercel AI SDK and LangChain.js-cutting-edge tools for building AI into web applications. You'll create multiple working AI apps, including an interactive ChatGPT-style chatbot with streaming functionality, an AI interview assistant that can transcribe voices, and a corporate knowledge management system that utilizes RAG. Plus, you'll maintain full control over costs, performance, and user experience for your AI apps.

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[booksz]

Building AI Applications with OpenAI APIs: Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects
English | 2024 | ASIN: B0DCW2PRTX | 395 pages | EPUB (True) | 4.98 MB
Improve your app development skills by building a ChatGPT clone, code bug fixer, quiz generator, translation app, email auto-reply, PowerPoint generator, and more

Key Features
Transition into an expert AI developer by mastering ChatGPT concepts, including fine-tuning and integrations
Gain hands-on experience through real-world projects covering a wide range of AI applications
Implement payment systems in your applications by integrating the ChatGPT API with Stripe
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Unlock the power of AI in your applications with ChatGPT with this practical guide that shows you how to seamlessly integrate OpenAI APIs into your projects, enabling you to navigate complex APIs and ensure seamless functionality with ease.
This new edition is updated with key topics such as OpenAI Embeddings, which'll help you understand the semantic relationships between words and phrases. You'll find out how to use ChatGPT, Whisper, and DALL-E APIs through 10 AI projects using the latest OpenAI models, GPT-3.5, and GPT-4, with Visual Studio Code as the IDE. Within these projects, you'll integrate ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. You'll get to grips with NLP tasks, build a ChatGPT clone, and create an AI code bug-fixing SaaS app. The chapters will also take you through speech recognition, text-to-speech capabilities, language translation, generating email replies, creating PowerPoint presentations, and fine-tuning ChatGPT, along with adding payment methods by integrating the ChatGPT API with Stripe.
By the end of this book, you'll be able to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.
What you will learn
Develop a solid foundation in using the OpenAI API for NLP tasks
Build, deploy, and integrate payments into various desktop and SaaS AI applications
Integrate ChatGPT with frameworks such as Flask, Django, and Microsoft Office APIs
Unleash your creativity by integrating DALL-E APIs to generate stunning AI art within your desktop apps
Experience the power of Whisper API's speech recognition and text-to-speech features
Find out how to fine-tune ChatGPT models for your specific use case
Master AI embeddings to measure the relatedness of text strings
Who this book is for
This book is for a diverse range of professionals, including programmers, entrepreneurs, and software enthusiasts. Beginner programmers, Python developers exploring AI applications with ChatGPT, software developers integrating AI technology, and web developers creating AI-powered web applications with ChatGPT will find this book beneficial. Scholars and researchers working on AI projects with ChatGPT will also find it valuable. Basic knowledge of Python and familiarity with APIs is needed to understand the topics covered in this book.
Table of Contents
Getting Started with the ChatGPT API for NLP Tasks
Building a ChatGPT Clone
Creating and Deploying a Code Bug-Fixing Application Using Flask
Integrating the Code Bug-Fixing Application with a Payment Service
Quiz Generation App with ChatGPT and Django
Language Translation Desktop App with the ChatGPT API and Microsoft Word
Building an Outlook Email Reply Generator
Essay Generation Tool with PyQt and the ChatGPT API
Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator
Speech Recognition and Text-to-Speech with the Whisper API
Choosing the Right ChatGPT API Model
Fine-Tuning ChatGPT to Create Unique API Models

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Building an Operating System with Rust: A Practical Guide
English | 2024 | ISBN: B0DL3QLT5T | Pages: 466 | EPUB (True) | 377.99 KB
"Building an Operating System with Rust: A Practical Guide" is an authoritative resource meticulously crafted to bridge the gap between theoretical understanding and practical implementation in the realm of operating system development. Leveraging Rust's modern approach to systems programming, this book is designed for readers aspiring to master the art of creating secure and efficient operating systems. It explores core concepts essential for system-level programming, encompassing memory management, process scheduling, file systems, and networking, all through the lens of Rust's compelling features like memory safety and concurrency.

Structured to benefit beginners and seasoned developers alike, each chapter unfolds with detailed explanations paired with practical examples, covering both foundational theories and advanced topics. By integrating hands-on projects with comprehensive guides on utilizing Rust's unique programming paradigms, readers gain a profound appreciation of how Rust transforms complex system programming into a more approachable yet powerful discipline. This book not only equips developers to tackle real-world challenges but also positions them at the forefront of innovation in modern software engineering.

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Building and Deploying Serverless Apps with TypeScript and AWS Lambda
English | 2025 | ISBN: 9798231527328 | 1,057 pages | EPUB (True) | 4.58 MB
Building and Deploying Serverless Apps with TypeScript and AWS Lambda

Master the powerful combination of TypeScript and AWS Lambda to build scalable, cost-efficient serverless applications with confidence.
Are you ready to revolutionize the way you build and deploy cloud applications? "Building and Deploying Serverless Apps with TypeScript and AWS Lambda" is your comprehensive, hands-on guide to creating production-ready serverless solutions that leverage TypeScript's robust type system while harnessing the unlimited scalability and pay-per-use economics of AWS Lambda.
This practical guide bridges the gap between TypeScript's powerful development experience and the serverless paradigm, providing you with the knowledge and techniques to build applications that are both highly maintainable and infinitely scalable. Whether you're a JavaScript developer looking to level up with TypeScript, a TypeScript developer exploring serverless architecture, or an experienced cloud engineer seeking to modernize your development approach, this book delivers the perfect blend of theory and practice.
Beginning with foundational serverless concepts, you'll quickly progress to building real-world applications using TypeScript with AWS Lambda, API Gateway, DynamoDB, and other essential AWS services. Through step-by-step instructions and real-world examples, you'll learn how to:
Structure serverless projects for maximum maintainability and code reuse
Implement type-safe APIs that catch errors before they reach production
Create data persistence layers with DynamoDB using strongly-typed models
Build asynchronous processing workflows with SQS and SNS
Implement scheduled tasks and cron jobs with complete type safety
Secure your serverless applications using best practices
Test serverless functions effectively with TypeScript-aware testing strategies
Set up automated CI/CD pipelines for seamless deployment
Monitor and troubleshoot serverless applications in production
Optimize performance while controlling costs
The book culminates in two comprehensive real-world projects-a serverless Todo API and an event-driven image processor-demonstrating how TypeScript enables you to build complex, interconnected serverless systems with confidence. You'll see firsthand how TypeScript's compile-time checks can prevent runtime errors, saving countless hours of debugging and improving overall application reliability.
Each chapter builds upon the previous, introducing new concepts while reinforcing fundamentals, ensuring you develop a deep understanding of both TypeScript and serverless architecture. Extensive code examples, configuration templates, and deployment strategies provide you with everything needed to implement your own serverless solutions immediately.
What sets this book apart is its unwavering focus on type safety throughout the serverless development lifecycle. You'll discover how TypeScript's interfaces, generics, and utility types can create self-documenting code that's easier to maintain and extend, even as your serverless applications grow in complexity.
By the end of this journey, you'll possess the skills to build production-grade serverless applications that scale automatically, reduce operational overhead, and leverage TypeScript's powerful type system to catch errors before they impact your users.
Ready to elevate your development skills and build the next generation of cloud applications? Your serverless TypeScript journey starts here.

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Building AR Apps with ARCore and ARKit: Master Augmented Reality App Development with ARCore and ARKit for Immersive and Interactive AR Experiences (English Edition)
English | 2025 | ASIN: B0F53CZ9Y5 | 364 pages | PDF | 52.28 MB
Build Immersive AR Apps with ARCore and ARKit

Key Features
● Detailed step-by-step instructions on ARCore and ARKit environments, tools, and workflows.
● Hands-on projects like an AR furniture app and an AR game to apply your knowledge.
● Learn key AR features such as spatial tracking, environment understanding, and user interaction.
Book Description
Augmented Reality (AR) is revolutionizing how we interact with digital content, and mastering ARCore and ARKit can give you a competitive edge in this rapidly growing field. Building AR Apps with ARCore and ARKit takes you on a structured journey, starting with the fundamentals of AR technology and progressing to building real-world applications.
You'll begin by understanding the core principles of AR and setting up your development environment. From there, you'll dive into ARCore and ARKit, learning how to harness their capabilities to create interactive and immersive experiences. Step by step, you'll build your first AR applications, implementing crucial features such as spatial tracking, surface detection, and real-world interaction. As you advance, you'll work on practical projects like an AR furniture app and an AR game, reinforcing your knowledge with hands-on experience.
By the end of this book, you won't just understand AR-you'll be equipped to build and deploy powerful AR applications with confidence. Whether you're a developer looking to expand your skill set or an innovator eager to push the boundaries of digital experiences, this book provides the expertise you need. Don't get left behind-start building the future of AR today!
What you will learn
● Develop AR apps with ARCore and ARKit from scratch.
● Implement spatial tracking, occlusion, and real-world object interaction.
● Create interactive AR experiences with face tracking and gestures.
● Optimize AR app performance for Android and iOS devices.
● Leverage Generative AI to automate and enhance AR development.
Who is this book for?
This book is tailored for software developers looking to expand their skills and build immersive AR applications. Tech enthusiasts eager to explore AR development will gain hands-on experience with practical techniques. Students and learners studying programming or mobile development can use this book to create interactive AR apps with ARCore and ARKit. A basic understanding of C# or Swift and experience with Android or iOS development is recommended. No prior AR experience is required.
Table of Contents
1. Understanding Augmented Reality
2. Setting Up Your Development Environment
3. Getting Started with ARCore
4. Building Your First ARCore App
5. Advanced ARCore Features
6. Getting Started with ARKit
7. Building Your First ARKit App
8. Advanced ARKit Features
9. Building an AR Furniture App
10. Developing an AR Game

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[booksz]

Vibes and Versions: A Software Parable in the Age of AI
English | 2024 | ISBN: B0DH7LJWC9 | Pages: 188 | Epub | 4.27 MB
Unlock the Secrets to Managing Software Development!

Building Better Software provides clear, actionable insights to help you lead your teams more effectively, ensuring that the software your team creates is well-designed, robust, and thoroughly tested. Author Martin J. Fenelon breaks down the complexities of software development into simple, actionable steps that project managers can follow, no matter their technical background.
Discover how to guide your team confidently through every phase of the project lifecycle, regardless of delivery methodology. Learn how to identify warning signs, use key metrics, and ask the right questions to ensure on-time and on-budget delivery of high-quality software. With real-world examples, checklists, and proven strategies, this blueprint equips you with the tools to confidently manage software projects from start to finish.
Whether you're new to software development or looking to improve your project outcomes, this book is your roadmap to success. Grab your copy today and build better software now!

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[booksz]

Building CLI Applications with C# and .NET: A step-by-step guide to developing cross-platform CLI apps
English | 2025 | ISBN: B0DG5G47VL | Pages: 586 | EPUB (True) | 17.49 MB
Unlock the potential of .NET to design, test, and deploy robust CLI applications, including development, security, and monitoring

Key Features
Receive expert guidance on building CLI applications with .NET
Implement advanced techniques for creating cross-platform, modular, and robust CLI applications
Put your knowledge into practice through hands-on exercises and real-world projects
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Developers and system administrators often face challenges like inefficient workflows, complex system operations, and the growing demand for robust automation tools. CLI applications provide a powerful solution by enhancing flexibility, efficiency, and productivity in various environments. This book will guide you through mastering the development of robust command-line tools using .NET.
Written by a Microsoft Azure MVP, the book's hands-on approach ensures practical experience with real-world projects. You'll start with an overview of foundational principles, essential concepts, and best practices for CLI application development. From there, you'll advance to creating interactive interfaces, integrating with external APIs and services, and implementing security measures to safeguard your applications. Each chapter will build progressively from basic to advanced topics.
Beyond development, you'll learn how to enhance application quality through testing, package for efficient distribution, and deploy effectively. The book also teaches strategies to optimize performance to ensure your applications run efficiently under heavy usage.
By the end of this book, you'll have gained a deep understanding of CLI application development with .NET to build modular, extensible, and easy-to-maintain applications.
What you will learn
Master CLI application development principles to enhance productivity
Build modular and extensible CLI applications that adapt to evolving needs
Develop interactive CLI applications for engaging user experiences
Integrate external APIs and services to extend functionality
Implement robust security measures to ensure data protection
Improve quality and reliability through comprehensive testing
Package and deploy CLI applications efficiently for smooth releases
Optimize performance to achieve high efficiency and effectiveness
Who this book is for
This book is for software developers, architects, and DevOps engineers aiming to enhance their existing SaaS platforms or optimize system operations. It focuses on providing users with CLI applications that automate and streamline workflows, unlocking operational efficiency. A basic understanding of programming concepts and prior experience with .NET and C# is expected, as this book doesn't cover introductory material.
Table of Contents
Introduction to CLI Applications
Setting Up the Development Environment
Basic Concepts of Console Applications in .NET
Command-Line Parsing
Input/Output and File Handling
Error Handling and Logging
Interactive CLI Applications
Building Modular and Extensible CLI Applications
Working with External APIs and Services
Testing CLI Applications
Packaging and Deployment
Performance Optimization and Tuning
Security Considerations for CLI Applications
Additional Resources and Libraries

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[booksz]

Building Conversational Generative AI Apps with Langchain and GPT: Develop End-to-End LLM-Powered Conversational AI Apps with Python, LangChain, GPT, and Google Colab (English Edition)
English | 2025 | ASIN: B0FBX14BG2 | 652 pages | EPUB (True) | 74.13 MB
Transform Text into Intelligent Conversations with LangChain and GPT.

Key Features
● Build AI Chatbots with LangChain, Python and GPT models through hands-on guidance.
● Master Advanced Techniques like RAG, document embedding, and LLM fine-tuning.
● Deploy and Scale conversational AI systems for real-world applications.
Book Description
Conversational AI Apps are revolutionizing the way we interact with technology, enabling businesses and developers to create smarter, more intuitive applications that engage users in natural, meaningful ways. Building Conversational Generative AI Apps with LangChain and GPT is your ultimate guide to mastering AI-driven conversational systems.
Starting with core concepts of generative AI and LLMs, you'll learn to build intelligent chatbots and virtual assistants, while exploring techniques like fine-tuning LLMs, retrieval-augmented generation (RAG), and document embedding.
As you progress, you'll dive deeper into advanced topics such as vector databases and multimodal capabilities, enabling you to create highly accurate, context-aware AI agents. The book's step-by-step tutorials ensure that you develop practical skills in deploying and optimizing scalable conversational AI solutions.
By the end, you'll be equipped to build AI apps that enhance customer engagement, automate workflows, and scale seamlessly.
Unlock the potential of Building Conversational Generative AI Apps with LangChain and GPT and create next-gen AI applications today!
What you will learn
● Build and deploy AI-driven chatbots using LangChain and GPT models.
● Implement advanced techniques like retrieval-augmented generation (RAG) for smarter responses.
● Fine-tune LLMs for domain-specific conversational AI applications.
● Leverage vector databases for efficient knowledge retrieval and enhanced chatbot performance.
● Explore multimodal capabilities and document embedding for better context-aware responses.
● Optimize and scale conversational AI systems for large-scale deployments.
Who is this book for?
This book is for developers, data scientists, and AI enthusiasts eager to build conversational applications using LangChain and GPT models. While a basic understanding of Python and machine learning concepts is beneficial, the book offers step-by-step guidance, making it accessible to both beginners and experienced practitioners.
Table of Contents
1. Introduction to Conversational Generative AI
2. Natural Language Processing (NLP) Fundamentals
3. The Building Blocks of Rule-Based Chatbots
4. Statistical Language Models for Text Generation
5. Neural Network Architectures for Conversation
6. The Transformer Architecture Revolution
7. Unveiling ChatGPT and Architectures
8. Langchain Framework for Building Conversational AI
9. Exploring the LLM Landscape beyond GPT
10. The Transformative Impact of Conversational AI
11. Challenges and Opportunities in LLM Development
Index

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Building Distributed Systems: Designing scalable architectures with microservices, event-driven patterns, and robust deployment strategies
English | 2025 | ISBN: 936589851X | 485 pages | True EPUB | 4.15 MB
In today's digital landscape, distributed systems are the backbone of scalable and reliable applications, powering everything from e-commerce giants to real-time streaming services. This book, Building Distributed Systems, provides a practical and accessible guide to understanding and constructing these complex architectures, bridging the gap between foundational theory and real-world application.

In this book, we will dive into the fundamentals of distributed systems, understand how computing evolved and what are some critical aspects of these systems that software architects and engineers must always be aware of to help them make design and implementation decisions. Furthermore, we will learn to make tradeoff decisions grounded on key objectives that our systems should focus on versus what may not be so important for each specific use case.
By the end of this book, you will possess a strong understanding of distributed systems and be equipped to design, build, and deploy scalable and reliable applications. You will gain practical insights into modern architectures, enabling you to confidently tackle the challenges of building and maintaining distributed systems in any environment.
WHAT YOU WILL LEARN
● Architect microservices, implement caching, and deploy resilient distributed systems.
● Master event-driven patterns, traffic routing, and cloud platform selection.
● Design for consistency, availability, and implement robust data strategies.
● Optimize performance via CI/CD, load balancing, and advanced caching.
● Engineer fault-tolerant systems using CQRS, circuit breakers, and cloud services.
● Navigate CAP theorem trade-offs and build observable distributed architectures.
WHO THIS BOOK IS FOR
This book is for software engineers, architects, and computer science students eager to build scalable internet systems. A basic understanding of software design principles is beneficial for those seeking practical, real-world implementations.

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[booksz]

Building Enterprise Applications with .NET: Advanced Architectural Patterns, Microservices Design, and Cloud-Native Development Strategies
English | 2025 | ASIN: B0FBQCMXJB | 2690 pages | EPUB (True) | 11.78 MB
Building Enterprise Applications with .NET: Advanced Architectural Patterns, Microservices Design, and Cloud-Native Development Strategies is the definitive guide for experienced .NET developers and software architects ready to master cutting-edge enterprise application development. This comprehensive resource leverages the latest C# 12 and .NET 8 features to deliver practical, industry-proven solutions for building scalable, resilient applications.

Unlike other books that focus on basic concepts, this advanced guide dives deep into sophisticated architectural patterns, microservices decomposition strategies, and cloud-native development with Azure. You'll explore essential topics including Domain-Driven Design implementation, CQRS and Event Sourcing patterns, advanced Entity Framework Core optimization, and comprehensive security architecture with Zero Trust principles.
The book emphasizes hands-on learning through a complete e-commerce platform case study, demonstrating real-world application of concepts from requirements analysis to production deployment. Key coverage includes Kubernetes orchestration, observability with OpenTelemetry, advanced API design patterns, and modern DevOps practices with Infrastructure as Code.
Each chapter provides detailed implementation examples, performance optimization techniques, and proven patterns used by successful enterprise teams. Whether you're architecting new applications or modernizing legacy systems, this book equips you with the expertise to build enterprise-grade applications that excel in today's demanding cloud-first environment.

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Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications
English | 2025 | ASIN: B0F4ZX7Y21 | 840 pages | PDF | 37.93 MB
Ready to build production-grade applications with generative AI? This practical guide takes you through designing and deploying AI services using the FastAPI web framework. Learn how to integrate models that process text, images, audio, and video while seamlessly interacting with databases, filesystems, websites, and APIs. Whether you're a web developer, data scientist, or DevOps engineer, this book equips you with the tools to build scalable, real-time AI applications.

Author Alireza Parandeh provides clear explanations and hands-on examples covering authentication, concurrency, caching, and retrieval-augmented generation (RAG) with vector databases. You'll also explore best practices for testing AI outputs, optimizing performance, and securing microservices. With containerized deployment using Docker, you'll be ready to launch AI-powered applications confidently in the cloud.
Build generative AI services that interact with databases, filesystems, websites, and APIs
Manage concurrency in AI workloads and handle long-running tasks
Stream AI-generated outputs in real time via WebSocket and server-sent events
Secure services with authentication, content filtering, throttling, and rate limiting
Optimize AI performance with caching, batch processing, and fine-tuning techniques
Visit the Book's Website.

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Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG
English | 2024 | ISBN: B0D3G58GDD | Pages: 679 | Epub | 4.20 MB
TL;DR

(UPDATED ON OCTOBER 2024) With amazing feedback from industry leaders, this book is an end-to-end resource for anyone looking to enhance their skills or dive into the world of AI and develop their understanding of Generative AI and Large Language Models (LLMs). It explores various methods to adapt "foundational" LLMs to specific use cases with enhanced accuracy, reliability, and scalability. Written by over 10 people on our Team at Towards AI and curated by experts from Activeloop, LlamaIndex, Mila, and more, it is a roadmap to the tech stack of the future.
The book aims to guide developers through creating LLM products ready for production, leveraging the potential of AI across various industries. It is tailored for readers with an intermediate knowledge of Python.
What's Inside this 470-page Book? (Updated on October 2024)
Hands-on Guide on LLMs, Prompting, Retrieval Augmented Generation (RAG) & Fine-tuning
Roadmap for Building Production-Ready Applications using LLMs
Fundamentals of LLM Theory
Simple-to-Advanced LLM Techniques & Frameworks
Code Projects with Real-World Applications
Colab Notebooks that you can run right away
Community access and our own AI Tutor
Table of Contents
Chapter I Introduction to Large Language Models
Chapter II LLM Architectures & Landscape
Chapter III LLMs in Practice
Chapter IV Introduction to Prompting
Chapter V Retrieval-Augmented Generation
Chapter VI Introduction to LangChain & LlamaIndex
Chapter VII Prompting with LangChain
Chapter VIII Indexes, Retrievers, and Data Preparation
Chapter IX Advanced RAG
Chapter X Agents
Chapter XI Fine-Tuning
Chapter XII Deployment
What Experts Think About The Book
"A truly wonderful resource that develops understanding of LLMs from the ground up, from theory to code and modern frameworks. Grounds your knowledge in research trends and frameworks that develop your intuition around what's coming. Highly recommend."
- Pete Huang, Co-founder of The Neuron
"This book is filled with end-to-end explanations, examples, and comprehensive details. Louis and the Towards AI team have written an essential read for developers who want to expand their AI expertise and apply it to real-world challenges, making it a valuable addition to both personal and professional libraries."
- Alex Volkov, AI Evangelist at Weights & Biases and Host of ThursdAI news
"This book is the most thorough overview of LLMs I've come across. An excellent primer for newcomers and a valuable reference for experienced practitioners."
- Shaw Talebi, Founder of The Data Entrepreneurs, AI Educator and Advisor
Whether you're looking to enhance your skills or dive into the world of AI for the first time as a programmer or software student, our book is for you. From the basics of LLMs to mastering fine-tuning and RAG for scalable, reliable AI applications, we guide you every step of the way.

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[booksz]

Building Mental Toughness: 7 Practical Steps to Develop the Best Mindset for Peak Performance - Improve Self-Discipline, Boost Confidence, Stop Overthinking by Amber Preston
English | April 29, 2024 | ISBN: N/A | ASIN: B0D31W1XMC | 158 pages | EPUB | 0.91 Mb
Harness the power of mental toughness with these 7 easy steps... and turn your life into something you're proud and comfortable with! Everyone should embrace mental toughness, not just for athletes.

Last week, your friend asked if you would take on some extra work for her. Even though your schedule was busy, you couldn't help but say yes. Adding to your pile of stress and resigning yourself to a busy weekend, you've relinquished a little more of your control over your life.
But that's nothing new. You're used to feeling weak under the force of stress standing on your shoulders.
You're used to the feeling of low confidence, anxiety, and bad time management shifting the tides of your life toward disaster.
If this is something you battle constantly, you're not alone - millions of people suffer from this overwhelming feeling of mental weakness, like the muscles of your mind haven't been exercised enough.
The solution? It's a little thing called mental toughness.
Mental toughness isn't just for athletes, and it doesn't mean being cold; mental toughness lines your mind with steel, empowering you to overcome, cope, and thrive under any pressure.
And it's never been easier to zoom in on mental toughness than it is right now, thanks to this guide.
In this handy resource for developing mental toughness like never before, you'll find:The 7-step guide to reinforcing the foundations of your mind with the steel beams of strength - never find yourself lacking control or willpower again!Resilience - need more be said? Bounce back from adversity like a basketball with these tips and tricksA screwdriver, a hammer... wait... wrong tools! Instead, you'll find all the tools you need for your self-confidence toolkit, enforcing your toughness for lifeTime management to the rescue! Master skills of discipline, prioritization, and more for flawless stress management and personal controlThe A-Z of boundaries, allowing you to command others to treat you with the respect that you deserve (and not with the convenience they feel like giving)A Bonus Chapter! Your crash course on putting your best foot forward while balancing assertiveness with your personality.And much more.
Being mentally tough is a hat that looks good on everyone. Anyone can be mentally tough; it's all about your dedication to self-improvement.
And with this book, you can do just that. Gone are the days of ruminating, of overthinking, of doubting your every move - it's time for the tides to flow in your favor, all thanks to being mentally tough.

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