Automating DevOps with GitLab CI/CD Pipelines. Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples

Christopher Cowell, Nicholas Lotz, Chris Timberlake

Developers and release engineers understand the high stakes of building, packaging, and deploying code efficiently. Ensuring that your code is fast, secure, and functionally correct can be a time-consuming and complex task. GitLab CI/CD pipelines simplify these tasks, enabling automation and seamless deployment.Automating DevOps with GitLab CI/CD Pipelines starts with the fundamentals of Git and GitLab, guiding you through committing and reviewing code. You'll learn how to set up GitLab Runners to execute and autoscale CI/CD pipelines, configure pipelines for different stages of the software development lifecycle, and analyze pipeline results in GitLab. As you progress, you'll gain expertise in deploying code across environments, integrating GitLab with Kubernetes and Terraform, triggering pipelines, and improving pipeline performance. This book also includes troubleshooting techniques, best practices, real-world use cases, and self-assessments to reinforce key CI/CD concepts and help you prepare for GitLab-related interviews and certifications.By the end of this book, you'll have the skills to build and automate CI/CD pipelines in GitLab, streamline DevOps workflows, and deploy high-quality, secure code with confidence.

Hands-on Kubernetes on Azure. Use Azure Kubernetes Service to automate management, scaling, and deployment of containerized applications - Third Edition

Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Containers and Kubernetes containers facilitate cloud deployments and application development by enabling efficient versioning with improved security and portability.With updated chapters on role-based access control, pod identity, storing secrets, and network security in AKS, this third edition begins by introducing you to containers, Kubernetes, and Azure Kubernetes Service (AKS), and guides you through deploying an AKS cluster in different ways. You will then delve into the specifics of Kubernetes by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your applications and clusters.As you advance, you'll learn how to overcome common challenges in AKS and secure your applications with HTTPS. You will also learn how to secure your clusters and applications in a dedicated section on security. In the final section, you’ll learn about advanced integrations, which give you the ability to create Azure databases and run serverless functions on AKS as well as the ability to integrate AKS with a continuous integration and continuous delivery (CI/CD) pipeline using GitHub Actions.By the end of this Kubernetes book, you will be proficient in deploying containerized workloads on Microsoft Azure with minimal management overhead.

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker

Many individuals who know how to run machine learning algorithms do not have a good sense of the statistical assumptions they make and how to match the properties of the data to the algorithm for the best results.As you start with this book, models are carefully chosen to help you grasp the underlying data, including in-feature importance and correlation, and the distribution of features and targets. The first two parts of the book introduce you to techniques for preparing data for ML algorithms, without being bashful about using some ML techniques for data cleaning, including anomaly detection and feature selection. The book then helps you apply that knowledge to a wide variety of ML tasks. You’ll gain an understanding of popular supervised and unsupervised algorithms, how to prepare data for them, and how to evaluate them. Next, you’ll build models and understand the relationships in your data, as well as perform cleaning and exploration tasks with that data. You’ll make quick progress in studying the distribution of variables, identifying anomalies, and examining bivariate relationships, as you focus more on the accuracy of predictions in this book.By the end of this book, you’ll be able to deal with complex data problems using unsupervised ML algorithms like principal component analysis and k-means clustering.

Instant Fancybox. Enhance the look of your web pages using the lightweight and highly customizable jQuery plugin Fancybox

Kyle Diedrick

Fancybox is a lightweight, highly customizable jQuery plugin for displaying modal dialogs. Fancybox is incredibly versatile; it works with all sorts of different content including images, videos, iFrames, custom HTML, and even SWF files. Fancybox is also very easy to customize, making it a great tool for any pop-up-like feature.Instant Fancybox is a hands-on guide which shows you how to use and customize the Fancybox plugin. The book provides step-by-step tutorials covering everything from simple installation to complex settings and features. This makes it a great way to get familiar with and ultimately master the Fancybox plugin.This book walks you through how to get the most out of the Fancybox plugin for jQuery, starting with the installation of the plugin and how to work with the JavaScript events that Fancybox triggers.You will learn everything you need to know about setting up Fancybox to show images, image galleries and slideshows, videos, and other content. You will also learn about the settings available within Fancybox and how to leverage them to make the Fancybox popup do exciting things. The Fancybox plugin has much to offer, and this book covers all of the features it provides. This book will provide you with all the information you will need to use the Fancybox plugin effectively.

A Practical Guide to Quantum Machine Learning and Quantum Optimization. Hands-on Approach to Modern Quantum Algorithms

Alberto Di Meglio, Elías F. Combarro, Samuel González-Castillo, Alberto Di Meglio

This book provides deep coverage of modern quantum algorithms that can be used to solve real-world problems. You’ll be introduced to quantum computing using a hands-on approach with minimal prerequisites.You’ll discover many algorithms, tools, and methods to model optimization problems with the QUBO and Ising formalisms, and you will find out how to solve optimization problems with quantum annealing, QAOA, Grover Adaptive Search (GAS), and VQE. This book also shows you how to train quantum machine learning models, such as quantum support vector machines, quantum neural networks, and quantum generative adversarial networks. The book takes a straightforward path to help you learn about quantum algorithms, illustrating them with code that’s ready to be run on quantum simulators and actual quantum computers. You’ll also learn how to utilize programming frameworks such as IBM’s Qiskit, Xanadu’s PennyLane, and D-Wave’s Leap.Through reading this book, you will not only build a solid foundation of the fundamentals of quantum computing, but you will also become familiar with a wide variety of modern quantum algorithms. Moreover, this book will give you the programming skills that will enable you to start applying quantum methods to solve practical problems right away.

Data Storytelling with Google Looker Studio. A hands-on guide to using Looker Studio for building compelling and effective dashboards

Sireesha Pulipati, Nicholas Kelly

Presenting data visually makes it easier for organizations and individuals to interpret and analyze information. Looker Studio is an easy-to-use, collaborative tool that enables you to transform your data into engaging visualizations. This allows you to build and share dashboards that help monitor key performance indicators, identify patterns, and generate insights to ultimately drive decisions and actions.Data Storytelling with Looker Studio begins by laying out the foundational design principles and guidelines that are essential to creating accurate, effective, and compelling data visualizations. Next, you’ll delve into features and capabilities of Looker Studio – from basic to advanced – and explore their application with examples. The subsequent chapters walk you through building dashboards with a structured three-stage process called the 3D approach using real-world examples that’ll help you understand the various design and implementation considerations. This approach involves determining the objectives and needs of the dashboard, designing its key components and layout, and developing each element of the dashboard.By the end of this book, you will have a solid understanding of the storytelling approach and be able to create data stories of your own using Looker Studio.

Nmap 6: Network Exploration and Security Auditing Cookbook. Want to master Nmap and its scripting engine? Then this book is for you – packed with practical tasks and precise instructions, it’s a comprehensive guide to penetration testing and network monitoring. Security in depth

Paulino Calderon, Gordon Lyon

Nmap is a well known security tool used by penetration testers and system administrators. The Nmap Scripting Engine (NSE) has added the possibility to perform additional tasks using the collected host information. Tasks like advanced fingerprinting and service discovery, information gathering, and detection of security vulnerabilities.Nmap 6: Network exploration and security auditing cookbook will help you master Nmap and its scripting engine. You will learn how to use this tool to do a wide variety of practical tasks for pentesting and network monitoring. Finally, after harvesting the power of NSE, you will also learn how to write your own NSE scripts.Nmap 6: Network exploration and security auditing cookbook is a book full of practical knowledge for every security consultant, administrator or enthusiast looking to master Nmap. The book overviews the most important port scanning and host discovery techniques supported by Nmap. You will learn how to detect mis-configurations in web, mail and database servers and also how to implement your own monitoring system. The book also covers tasks for reporting, scanning numerous hosts, vulnerability detection and exploitation, and its strongest aspect; information gathering.

Mastering Concurrency in Python. Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

Quan Nguyen

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming.Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples.By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language