IPython Interactive Computing and Visualization Cookbook. Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

Cyrille Rossant

The Ultimate Ubuntu Handbook. A complete guide to Ubuntu 24.04, from installation to advanced security and development

Ken VanDine, Alan Pope

Ubuntu 24.04 brings powerful new features, but most users barely scratch the surface of its potential. This book transforms you from a basic user into an Ubuntu power user by guiding you through setup, security, and development workflows step by step. Ken VanDine reveals insider knowledge and proven strategies that turn Ubuntu into a stable, secure, and productive development platform.Starting with Ubuntu’s mission, release lifecycles, and what’s new in 24.04, you’ll learn how to install the system, customize your desktop, and use the command line to work more efficiently. The book shows you how to apply updates, activate Ubuntu Pro, configure firewalls, and secure data with full disk encryption before covering topics often overlooked by desktop users. Moving into advanced territory, this book covers container-based development using LXD, working with virtual machines through Multipass, and setting up Kubernetes with MicroK8s. Whether you’re building cloud-native apps or data science projects, you’ll benefit from reliable and repeatable Ubuntu workflows. Beyond the technical skills, you'll discover how to tap into Ubuntu's global community for ongoing support and opportunities to contribute. This book is ideal for both newcomers eager to accelerate their Linux journey and seasoned professionals seeking to maximize their Ubuntu expertise.

Demystifying Cryptography with OpenSSL 3.0. Discover the best techniques to enhance your network security with OpenSSL 3.0

Alexei Khlebnikov, Jarle Adolfsen

Security and networking are essential features of software today. The modern internet is full of worms, Trojan horses, men-in-the-middle, and other threats. This is why maintaining security is more important than ever.OpenSSL is one of the most widely used and essential open source projects on the internet for this purpose. If you are a software developer, system administrator, network security engineer, or DevOps specialist, you’ve probably stumbled upon this toolset in the past – but how do you make the most out of it? With the help of this book, you will learn the most important features of OpenSSL, and gain insight into its full potential.This book contains step-by-step explanations of essential cryptography and network security concepts, as well as practical examples illustrating the usage of those concepts. You’ll start by learning the basics, such as how to perform symmetric encryption and calculate message digests. Next, you will discover more about cryptography: MAC and HMAC, public and private keys, and digital signatures. As you progress, you will explore best practices for using X.509 certificates, public key infrastructure, and TLS connections.By the end of this book, you’ll be able to use the most popular features of OpenSSL, allowing you to implement cryptography and TLS in your applications and network infrastructure.

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.

Nagios Core Administration Cookbook. The ideal book for System Administrators who want to move their network monitoring to an advanced level. This book covers the powerful features and flexibility of Nagios Core, and its recipes can be applied to virtually any network

Tom Ryder

Network monitoring requires significantly more than just pinging hosts. This cookbook will help you to comprehensively test your networks' major functions on a regular basis.Nagios Core Administration Cookbook will show you how to use Nagios Core as a monitoring framework that understands the layers and subtleties of the network for intelligent monitoring and notification behaviour. Nagios Core Administration Guide introduces the reader to methods of extending Nagios Core into a network monitoring solution. The book begins by covering the basic structure of hosts, services, and contacts and then goes on to discuss advanced usage of checks and notifications, and configuring intelligent behaviour with network paths and dependencies. The cookbook emphasizes using Nagios Core as an extensible monitoring framework. By the end of the book, you will learn that Nagios Core is capable of doing much more than pinging a host or to check if websites respond.

C# 12 and .NET 8 - Modern Cross-Platform Development Fundamentals. Start building websites and services with ASP.NET Core 8, Blazor, and EF Core 8 - Eight Edition

Mark J. Price

This latest edition of the bestselling Packt series will give you a solid foundation to start building projects using modern C# and .NET with confidence.You'll learn about object-oriented programming; writing, testing, and debugging functions; and implementing interfaces. You'll take on .NET APIs for managing and querying data, working with the fi lesystem, and serialization. As you progress, you'll explore examples of cross-platform projects you can build and deploy, such as websites and services using ASP.NET Core.This latest edition integrates .NET 8 enhancements into its examples: type aliasing and primary constructors for concise and expressive code. You'll handle errors robustly through the new built-in guard clauses and explore a simplified implementation of caching in ASP.NET Core 8.If that's not enough, you'll also see how native ahead-of-time (AOT) compiler publish lets web services reduce memory use and run faster. You'll work with the seamless new HTTP editor in Visual Studio 2022 to enhance the testing and debugging process. You'll even get introduced to Blazor Full Stack with its new unified hosting model for unparalleled web development flexibility.

Node.js By Example. Learn to use Node.js by creating a fully functional social network

Krasimir Tsonev, Krasimir Stefanov Tsonev

How to Build Android Apps with Kotlin. A hands-on guide to developing, testing, and publishing your first apps with Android

Alex Forrester, Eran Boudjnah, Alexandru Dumbravan, Jomar Tigcal

Are you keen to get started building Android 11 apps, but don’t know where to start? How to Build Android Apps with Kotlin is a comprehensive guide that will help kick-start your Android development practice.This book starts with the fundamentals of app development, enabling you to utilize Android Studio and Kotlin to get started building Android projects. You'll learn how to create apps and run them on virtual devices through guided exercises. Progressing through the chapters, you'll delve into Android’s RecyclerView to make the most of lists, images, and maps, and see how to fetch data from a web service.Moving ahead, you'll get to grips with testing, learn how to keep your architecture clean, understand how to persist data, and gain basic knowledge of the dependency injection pattern. Finally, you'll see how to publish your apps on the Google Play store.You'll work on realistic projects that are split up into bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. You'll build apps to create quizzes, read news articles, check weather reports, store recipes, retrieve movie information, and remind you where you parked your car.By the end of this book, you'll have the skills and confidence to build your own creative Android applications using Kotlin.

Accelerating Angular Development with Ivy. A practical guide to building faster and more testable Angular apps with the new Ivy engine

Lars Gyrup Brink Nielsen, Jacob Andresen, Santosh Yadav

Angular Ivy is the latest rendering engine and compiler introduced in Angular. Ivy helps frontend developers to make their Angular applications faster, better optimized, and more robust. This easy-to-follow guide will help you get to grips with the new features of Angular Ivy and show you how to migrate your Angular apps from View Engine to Ivy.You'll begin by learning about the most popular features of Angular Ivy with the help of simple stand-alone examples and realize its capabilities by working on a real-world application project. You'll then discover strategies to improve your developer workflow through new debugging APIs, testing APIs, and configurations that support higher code quality and productive development features. Throughout the book, you'll explore essential components of Angular, such as Angular Component Dev Kit (CDK), Ahead-of-time (AOT) compilation, and Angular command line interface (CLI). Finally, you'll gain a clear understanding of these components along with Angular Ivy which will help you update your Angular applications with modern features.By the end of this Angular Ivy book, you will learn about the core features of Angular Ivy, discover how to migrate your Angular View Engine application, and find out how to set up a high-quality Angular Ivy project.

PHP 7 Programming Blueprints. Rethink PHP

Jose Palala, Martin Helmich

When it comes to modern web development, performance is everything. The latest version of PHP has been improvised and updated to make it easier to build for performance, improved engine execution, better memory usage, and a new and extended set of tools. If you’re a web developer, what’s not to love? This guide will show you how to make full use of PHP 7 with a range of practical projects that will not only teach you the principles, but also show you how to put them into practice. It will push and extend your skills, helping you to become a more confident and fluent PHP developer.You’ll find out how to build a social newsletter service, a simple blog with a search capability using Elasticsearch, as well as a chat application. We’ll also show you how to create a RESTful web service, a database class to manage a shopping cart on an e-commerce site and how to build an asynchronous microservice architecture. With further guidance on using reactive extensions in PHP, we’re sure that you’ll find everything you need to take full advantage of PHP 7. So dive in now!

Heroku Cloud Application Development. A comprehensive guide to help you build, deploy, and troubleshoot cloud applications seamlessly using Heroku

Anubhav Hanjura

Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs

Gary Hutson, Matt Jackson

Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis.Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements.By the end of this book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.

Red Hat Enterprise Linux Server Cookbook. Click here to enter text

William Leemans

Dominating the server market, the Red Hat Enterprise Linux operating system gives you the support you need to modernize your infrastructure and boost your organization’s efficiency. Combining both stability and flexibility, RHEL helps you meet the challenges of today and adapt to the demands of tomorrow.This practical Cookbook guide will help you get to grips with RHEL 7 Server and automating its installation. Designed to provide targeted assistance through hands-on recipe guidance, it will introduce you to everything you need to know about KVM guests and deploying multiple standardized RHEL systems effortlessly. Get practical reference advice that will make complex networks setups look like child’s play, and dive into in-depth coverage of configuring a RHEL system. Also including full recipe coverage of how to set up, configuring, and troubleshoot SELinux, you’ll also discover how secure your operating system, as well as how to monitor it.

LLVM Cookbook. Over 80 engaging recipes that will help you build a compiler frontend, optimizer, and code generator using LLVM

Mayur Pandey, Suyog Sarda

Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado

Deep learning has a range of practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The Learning Path will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R.By the end of this Learning Path, you’ll be well-versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects.

Unity AI Programming Essentials. Use Unity3D, a popular game development ecosystem, to add realistic AI to your games quickly and effortlessly

Curtis Bennett