LLVM Techniques, Tips, and Best Practices Clang and Middle-End Libraries. Design powerful and reliable compilers using the latest libraries and tools from LLVM

Min-Yih Hsu

Every programmer or engineer, at some point in their career, works with compilers to optimize their applications. Compilers convert a high-level programming language into low-level machine-executable code. LLVM provides the infrastructure, reusable libraries, and tools needed for developers to build their own compilers. With LLVM’s extensive set of tooling, you can effectively generate code for different backends as well as optimize them.In this book, you’ll explore the LLVM compiler infrastructure and understand how to use it to solve different problems. You’ll start by looking at the structure and design philosophy of important components of LLVM and gradually move on to using Clang libraries to build tools that help you analyze high-level source code. As you advance, the book will show you how to process LLVM IR – a powerful way to transform and optimize the source program for various purposes. Equipped with this knowledge, you’ll be able to leverage LLVM and Clang to create a wide range of useful programming language tools, including compilers, interpreters, IDEs, and source code analyzers.By the end of this LLVM book, you’ll have developed the skills to create powerful tools using the LLVM framework to overcome different real-world challenges.

Mastering Python Design Patterns. Start learning Python programming to a better standard by mastering the art of Python design patterns

Sakis Kasampalis

Building LLM Powered Applications. Create intelligent apps and agents with large language models

Valentina Alto

Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities.The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.

Learning WebRTC. Develop interactive real-time communication applications with WebRTC

Daniel M. Ristic

YARN Essentials. A comprehensive, hands-on guide to install, administer, and configure settings in YARN

Amol Fasale, Nirmal Kumar

Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies

Alessandro Parisi

Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions.This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI.

Domain-Driven Refactoring. A hands-on DDD guide to transforming monoliths into modular systems and microservices

Alessandro Colla, Alberto Acerbis, Xin Yao

As software development continues to grow, mastering domain-driven design (DDD) will help transform your approach to complex systems. Filled with actionable insights and practical examples, this book is your essential guide to implementing DDD principles, covering its key concepts and practical applications in modern architecture.Alessandro, an eCommerce specialist and DDD expert with 30 years of experience, and Alberto, a dedicated backend developer, tap into their extensive expertise to help you refactor your monolith into a modular structure, whether it be evolving into microservices or enhancing a maintainable monolith, resulting in a system that adapts to changing business needs and non-functional requirements.You’ll explore vital DDD patterns like strategic design with bounded contexts and ubiquitous language, improving communication between technical and domain experts. The chapters take you through modeling techniques to manage complexity and increase flexibility, while also addressing microservices integration, including inter-service communication, transaction management, and data strategies.By the end of this book, you’ll be able to decompose a monolith and refine its architecture for adaptability, all while ensuring business logic remains central to your software design and development.

Smart Internet of Things Projects. Discover how to build your own smart Internet of Things projects and bring a new degree of interconnectivity to your world

Agus Kurniawan

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves.Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device.This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.

Implementing Multifactor Authentication. Protect your applications from cyberattacks with the help of MFA

Marco Fanti

MFA has emerged as an essential defense strategy in the wide-ranging landscape of cybersecurity. This book is a comprehensive manual that assists you in picking, implementing, and resolving issues with various authentication products that support MFA. It will guide you to bolster application security without sacrificing the user experience.You'll start with the fundamentals of authentication and the significance of MFA to familiarize yourself with how MFA works and the various types of solutions currently available. As you progress through the chapters, you'll learn how to choose the proper MFA setup to provide the right combination of security and user experience. The book then takes you through methods hackers use to bypass MFA and measures to safeguard your applications. After familiarizing yourself with enabling and managing leading cloud and on-premise MFA solutions, you’ll see how MFA efficiently curbs cyber threats, aided by insights from industry best practices and lessons from real-world experiences. Finally, you’ll explore the significance of innovative advancements in this domain, including behavioral biometrics and passkeys.By the end of the book, you'll have the knowledge to secure your workforce and customers, empowering your organization to combat authentication fraud.

Extending Power BI with Python and R. Perform advanced analysis using the power of analytical languages - Second Edition

Luca Zavarella

With this updated second edition, you'll not only learn how to configure the Power BI environment to run Python and R scripts at peak performance—you'll also become familiar with the appropriate solutions to the most common problems you may encounter. Extending Power BI with Python and R explores data ingestion and data transformation extensions before moving on to focus on data enrichment and data visualization. You'll learn how to ingest data larger than available memory, import data from external sources, and transform data using complex algorithms, as well as implementing personal data de-identification methods such as pseudonymization, anonymization, and masking in Power BI. You'll find out how to call external APIs to enrich your data much faster, and address I/O performance issues using Python and R. Next, you'll learn advanced Python and R techniques to perform in-depth analysis and extract valuable information using statistics and machine learning. You'll also get to grips with the key statistical features of data sets by plotting multiple visual graphs in the process of building a machine learning model. Your knowledge will be tested through questions and answers at the end of each chapter.By the end of this book, you’ll be able to enrich your Power BI data models and unlock valuable insights using Python and R.

Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn

Stephen Klosterman

Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools, by applying them to realistic data problems. You will learn how to use pandas and Matplotlib to critically examine datasets with summary statistics and graphs, and extract the insights you seek to derive. You will build your knowledge as you prepare data using the scikit-learn package and feed it to machine learning algorithms such as regularized logistic regression and random forest. You’ll discover how to tune algorithms to provide the most accurate predictions on new and unseen data. As you progress, you’ll gain insights into the working and output of these algorithms, building your understanding of both the predictive capabilities of the models and why they make these predictions.By then end of this book, you will have the necessary skills to confidently use machine learning algorithms to perform detailed data analysis and extract meaningful insights from unstructured data.

The Python Workshop. Write Python code to solve challenging real-world problems - Second Edition

Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, ...

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed.This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact.By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.

Mastering Swift 6. Modern programming techniques for high-performance apps in Swift 6.2 - Seventh Edition

Jon Hoffman

This seventh edition of Mastering Swift 6 is your ultimate guide to harnessing the full power of Swift. Whether you're aiming to optimize the performance of your applications or looking to explore the exciting new features in Swift 6.2, this book has you covered. The author distills his 28 years of experience in the Engineering and IT fields to help you dive deep into advanced concepts and techniques, such as concurrency, memory management, and Generics, all essential for creating high-performance applications.The chapters take you on a flexible journey, covering Swift 6.2’s newest features alongside advanced programming topics such as reflection, concurrency, and Generics. Packed with best practices, testing strategies, and modern programming techniques, this book equips you with the skills to develop scalable, high-performance applications with confidence.Whether you're looking to stay competitive or simply want to excel in Swift 6, this book provides the tools and knowledge you need to succeed.

FusionCharts Beginner's Guide: The Official Guide for FusionCharts Suite. Create interactive charts in JavaScript (HTML5) and Flash for your web and enterprise applications with this book and

Sanket Nadhani, Pallav Nadhani, Shamasis Bhattacharya

User experience can make or break any app these days, no matter whether it's a commercial product or an internal solution. While most web applications out there are boring and outdated when it comes to their charting, you can make yours both stunning and powerful using FusionCharts Suite. Once you have mastered it, you can give your users a delightful reporting experience in no time at all.FusionCharts Beginner's Guide is a practical, step-by-step guide to using FusionCharts Suite for creating delightful web reports and dashboards. Getting you started quickly, you will learn advanced reporting capabilities like drill-down and JavaScript integration, and charting best practices to make the most out of it. Filled with examples, real-life tips and challenges, this book is the firstofitstype in the visualization industry.The book teaches you to create delightful reports and dashboards for your web applications assuming no previous knowledge of FusionCharts Suite. It gets your first chart up in 15 minutes after which you can play around with different chart types and customize them. You will also learn how to create a powerful reporting experience using drill-down and advanced JavaScript capabilities. You will also connect your charts to server-side scripts pulling data from databases. Finally you round up the experience learning reporting best practices including right chart type selection and practical usability tips.By the end of the book, you will have a solid foundation in FusionCharts Suite and data visualization itself. You will be able to give your users a delightful reporting experience, from developers to management alike.

Build Customized Apps with Amazon Honeycode. Quickly create interactive web and mobile apps for your teams without programming

Aniruddha Loya

Amazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you’ll be able to bring your app ideas to life, improving your and your team’s/organization’s productivity.You’ll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you’ll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you’ll build a few apps from scratch and discover how to apply the concepts you’ve learned.By the end of this app development book, you’ll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You’ll also be able to invite and share your app with people you want to collaborate with.

Before Machine Learning Volume 3 - Probability and Statistics for A.I . Master Probability, Statistics, and Their Role in AI's Future Evolution

Jorge Brasil

Delve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data.Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application.Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.