Practical HTML and CSS. Elevate your internet presence by creating modern and high-performance websites for the web - Second Edition

Brett Jephson, Lewis Coulson, Ana Carolina Silveira

In the ever-evolving landscape of web development, mastering HTML and CSS is crucial for building modern, responsive websites. This comprehensive guide equips you with the essential knowledge and skills you need to excel in web design and development.Starting with the foundational principles of HTML and CSS, the book swiftly advances to cover more complex topics, providing a thorough understanding of these vital technologies. You’ll learn how to build websites from scratch, create intuitive user input forms, and enhance web design by integrating multimedia elements like videos, animations, and themes. Emphasizing responsive web design principles, this book teaches you how to create layouts that flawlessly adapt to different devices using media queries. You’ll also get to grips with SEO essentials to optimize website visibility and search engine rankings. A dedicated section guides you through performance optimization techniques to ensure your websites deliver a smooth and lightning-fast user experience.By the end of this HTML and CSS book, you’ll have developed confidence in your web development skills, and you'll be well-equipped to build modern, visually appealing, and high-performing websites.

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.

Learn Azure Administration. Solve your cloud administration issues relating to networking, storage, and identity management speedily and efficiently

Kamil Mrzygłód

Microsoft Azure is one of the upcoming cloud platforms that provide cost-effective solutions and services to help businesses overcome complex infrastructure-related challenges. This book will help you scale your cloud administration skills with Microsoft Azure.Learn Azure Administration starts with an introduction to the management of Azure subscriptions, and then takes you through Azure resource management. Next, you'll configure and manage virtual networks and find out how to integrate them with a set of Azure services. You'll then handle the identity and security for users with the help of Azure Active Directory, and manage access from a single place using policies and defined roles. As you advance, you'll get to grips with receipts to manage a virtual machine. The next set of chapters will teach you how to solve advanced problems such as DDoS protection, load balancing, and networking for containers. You'll also learn how to set up file servers, along with managing and storing backups. Later, you'll review monitoring solutions and backup plans for a host of services. The last set of chapters will help you to integrate different services with Azure Event Grid, Azure Automation, and Azure Logic Apps, and teach you how to manage Azure DevOps.By the end of this Azure book, you'll be proficient enough to easily administer your Azure-based cloud environment.

Django 5 By Example. Build powerful and reliable Python web applications from scratch - Fifth Edition

Antonio Melé, Paolo Melchiorre

If you want to learn Django by doing, this book is for you.Django 5 By Example is the fifth edition of the best-selling franchise that helps you build real-world web apps. This book will walk you through planning and creation, solving common problems, and implementing best practices using a step-by-step approach.You’ll cover a wide range of web application development topics through four different projects: a blog application, a social website, an e-commerce application, and an e-learning platform. Pick up what’s new in Django 5 as you build end-to-end Python web apps, follow detailed project plans, and understand the hows and whys of Django.This is a practical and approachable book that will have you creating web apps quickly.

Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale

Emmanuel Raj

Engineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.The book begins by familiarizing you with the MLOps workflow so you can start writing programs to train ML models. Then you’ll then move on to explore options for serializing and packaging ML models post-training to deploy them to facilitate machine learning inference, model interoperability, and end-to-end model traceability. You’ll learn how to build ML pipelines, continuous integration and continuous delivery (CI/CD) pipelines, and monitor pipelines to systematically build, deploy, monitor, and govern ML solutions for businesses and industries. Finally, you’ll apply the knowledge you’ve gained to build real-world projects.By the end of this ML book, you'll have a 360-degree view of MLOps and be ready to implement MLOps in your organization.

Julia for Data Science. high-performance computing simplified

Anshul Joshi

Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century).This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game.This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will develop knowledge to build statistical models and machine learning systems in Julia with attractive visualizations.You will then delve into the world of Deep learning in Julia and will understand the framework, Mocha.jl with which you can create artificial neural networks and implement deep learning.This book addresses the challenges of real-world data science problems, including data cleaning, data preparation, inferential statistics, statistical modeling, building high-performance machine learning systems and creating effective visualizations using Julia.