Oracle Linux Cookbook. Embrace Oracle Linux and master Linux Server Management

Erik Benner, Erik B. Thomsen, Jonathan Spindel, Robert G. Shimp

Discover the power of Oracle Linux 8, the free and enterprise-grade Linux distribution designed for use in any environment, with this recipe-style book.Starting with instructions on how to obtain Oracle Linux for both X86 and ARM-based platforms, this book walks you through various installation methods, from running it as a Windows service to installing it on a Raspberry Pi. It unravels advanced topics such as system upgrades using Leapp for major version transitions and using a PXE server and kickstart files for more advanced installations. The book then delves into swapping kernels to take advantage of Oracle’s UEK, exploring boot options, managing software with DNF, and achieving high availability. Detailed recipes involving security topics will assist with tasks such as data encryption, both at rest and in motion.For developers, it offers guidance on building RPM files, using Docker and Podman in a containerized environment, working with AppStreams, and more. For large-scale deployments, the book introduces Oracle Linux Automation Manager for enterprise-level Ansible utilization, from setting up the Ansible server to basic playbook writing. Finally, you’ll discover strategies for cloud migration.By the end of this book, you’ll possess a comprehensive toolkit that will elevate your skills as a Linux administrator.

Supervised Machine Learning with Python. Develop rich Python coding practices while exploring supervised machine learning

Taylor Smith

Supervised machine learning is used in a wide range of sectors, such as finance, online advertising, and analytics, to train systems to make pricing predictions, campaign adjustments, customer recommendations, and much more by learning from the data that is used to train it and making decisions on its own. This makes it crucial to know how a machine 'learns' under the hood.This book will guide you through the implementation and nuances of many popular supervised machine learning algorithms, and help you understand how they work. You’ll embark on this journey with a quick overview of supervised learning and see how it differs from unsupervised learning. You’ll then explore parametric models, such as linear and logistic regression, non-parametric methods, such as decision trees, and a variety of clustering techniques that facilitate decision-making and predictions. As you advance, you'll work hands-on with recommender systems, which are widely used by online companies to increase user interaction and enrich shopping potential. Finally, you’ll wrap up with a brief foray into neural networks and transfer learning.By the end of this book, you’ll be equipped with hands-on techniques and will have gained the practical know-how you need to quickly and effectively apply algorithms to solve new problems.

Instant Premium Drupal Themes. Learn how to create visually stunning themes to add the wow factor to all of your Drupal sites! with this book and

Pankaj Sharma

Drupal’s theme layer, and the themes that use it, are responsible for the look and feel of a Drupal web site. Themes have the final say and ultimate control over almost every aspect of each page. Good themes consist of all the same elements that you would find on any reputable web site, including standards-compliant XHTML markup, CSS, and JavaScript. How it all comes together is what is so special and what makes Drupal themes so flexible and powerful.Premium Drupal Themes is a practical, hands-on guide filled with clear, step-by-step examples which shows you how to create Drupal themes using HTML. This book will show you the best practices and conventions that you should adopt and utilize so you can change the way Drupal looks using HTML without wasting energy digging through Drupal’s code.Starting with the essentials including Drupal terminology and Drupal theme structures, this book will show you how to configure raw HTML in a Drupal environment. You will learn about the Drupal template variables and also how to populate a Drupal theme with dynamic content. You will also discover how to customize the search result page and how to add regions to your home page. This book will help you familiarize yourself with the theme engines and will help you learn about the core of Drupal’s theme rendering system. Finally, you will learn how to create your very own Drupal theme that will take people’s breath away!

Automating Security Detection Engineering. A hands-on guide to implementing Detection as Code

Dennis Chow, David Bruskin

Today's global enterprise security programs grapple with constantly evolving threats. Even though the industry has released abundant security tools, most of which are equipped with APIs for integrations, they lack a rapid detection development work stream. This book arms you with the skills you need to automate the development, testing, and monitoring of detection-based use cases.You’ll start with the technical architecture, exploring where automation is conducive throughout the detection use case lifecycle. With the help of hands-on labs, you’ll learn how to utilize threat-informed defense artifacts and then progress to creating advanced AI-powered CI/CD pipelines to bolster your Detection as Code practices. Along the way, you'll develop custom code for EDRs, WAFs, SIEMs, CSPMs, RASPs, and NIDS. The book will also guide you in developing KPIs for program monitoring and cover collaboration mechanisms to operate the team with DevSecOps principles. Finally, you'll be able to customize a Detection as Code program that fits your organization's needs.By the end of the book, you'll have gained the expertise to automate nearly the entire use case development lifecycle for any enterprise.

Learning Geospatial Analysis with Python. If you know Python and would like to use it for Geospatial Analysis this book is exactly what you've been looking for. With an organized, user-friendly approach it covers all the bases to give you the necessary skills and know-how

Joel Lawhead

Geospatial analysis is used in almost every field you can think of from medicine, to defense, to farming. It is an approach to use statistical analysis and other informational engineering to data which has a geographical or geospatial aspect. And this typically involves applications capable of geospatial display and processing to get a compiled and useful data.Learning Geospatial Analysis with Python uses the expressive and powerful Python programming language to guide you through geographic information systems, remote sensing, topography, and more. It explains how to use a framework in order to approach Geospatial analysis effectively, but on your own terms.Learning Geospatial Analysis with Python starts with a background of the field, a survey of the techniques and technology used, and then splits the field into its component speciality areas: GIS, remote sensing, elevation data, advanced modelling, and real-time data.This book will teach you everything there is to know, from using a particular software package or API to using generic algorithms that can be applied to Geospatial analysis. This book focuses on pure Python whenever possible to minimize compiling platform-dependent binaries, so that you don't become bogged down in just getting ready to do analysis.Learning Geospatial Analysis with Python will round out your technical library with handy recipes and a good understanding of a field that supplements many a modern day human endeavors.

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Streamlit shortens the development time for the creation of data-focused web applications, allowing data scientists to create web app prototypes using Python in hours instead of days. Getting Started with Streamlit for Data Science takes a hands-on approach to helping you learn the tips and tricks that will have you up and running with Streamlit in no time.You'll start with the fundamentals of Streamlit by creating a basic app and gradually build on the foundation by producing high-quality graphics with data visualization and testing machine learning models. As you advance through the chapters, you’ll walk through practical examples of both personal data projects and work-related data-focused web applications, and get to grips with more challenging topics such as using Streamlit Components, beautifying your apps, and quick deployment of your new apps.By the end of this book, you’ll be able to create dynamic web apps in Streamlit quickly and effortlessly using the power of Python.

API Security for White Hat Hackers. Uncover offensive defense strategies and get up to speed with secure API implementation

Confidence Staveley, Christopher Romeo

APIs have evolved into an essential part of modern applications, making them an attractive target for cybercriminals. Written by a multi-award-winning cybersecurity leader , this comprehensive guide offers practical insights into testing APIs, identifying vulnerabilities, and fixing them.With a focus on hands-on learning, this book guides you through securing your APIs in a step-by-step manner. You'll learn how to bypass authentication controls, circumvent authorization controls, and identify vulnerabilities in APIs using open-source and commercial tools. Moreover, you'll gain the skills you need to write comprehensive vulnerability reports and recommend and implement effective mitigation strategies to address the identified vulnerabilities. This book isn't just about hacking APIs; it's also about understanding how to defend them. You'll explore various API security management strategies and understand how to use them to safeguard APIs against emerging threats.By the end of this book, you'll have a profound understanding of API security and how to defend against the latest threats. Whether you're a developer, security professional, or ethical hacker, this book will ensure that your APIs are secure and your organization's data is protected.

Elasticsearch 7.0 Cookbook. Over 100 recipes for fast, scalable, and reliable search for your enterprise - Fourth Edition

Alberto Paro

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. With this book, you'll be guided through comprehensive recipes on what's new in Elasticsearch 7, and see how to create and run complex queries and analytics.Packed with recipes on performing index mapping, aggregation, and scripting using Elasticsearch, this fourth edition of Elasticsearch Cookbook will get you acquainted with numerous solutions and quick techniques for performing both every day and uncommon tasks such as deploying Elasticsearch nodes, integrating other tools to Elasticsearch, and creating different visualizations. You will install Kibana to monitor a cluster and also extend it using a variety of plugins. Finally, you will integrate your Java, Scala, Python, and big data applications such as Apache Spark and Pig with Elasticsearch, and create efficient data applications powered by enhanced functionalities and custom plugins.By the end of this book, you will have gained in-depth knowledge of implementing Elasticsearch architecture, and you'll be able to manage, search, and store data efficiently and effectively using Elasticsearch.