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Das Sumitabha: Your UNIX/Linux: The
Ultimate Guide

Your UNIX/Linux: The Ultimate Guide

The book covers soft computing techniques that provide an optimal solution to the optimization problem using single or multiple objectives. The book focuses on basic design principles and analysis of these techniques. These techniques can be used to improve the quality of service in software based on a service-oriented architecture

Soft Computing Principles and Integration for Real-Time Service-Oriented Computing

Master the tools. Build the workflow. Own the shell. Effective Shell is the hands-on guide for developers who want to master the command line—not just to get around, but to build a fast, flexible, and portable development environment. This isn’t a tour of shell commands. It’s a blueprint for creating workflows that scale across machines, teams, and projects. You’ll go from keystroke-level efficiency to composing powerful pipelines, writing reliable scripts, and automating common development tasks. Then you’ll take it further: managing your configuration with Git, customizing your shell setup, and working seamlessly across remote sessions using tools like Vim and tmux. By the end, your shell won’t just be a tool; it’ll be an extension of your thinking. You’ll learn how to: <ul><li>Find, filter, and reshape data using grep, regular expressions, and shell pipelines</li><li>Write scripts that automate setup, configuration, and repetitive tasks</li><li>Create Python-based CLI tools to pull and process structured data</li><li>Manage your environment with Git and version-controlled dot files</li><li>Edit quickly with Vim and multitask efficiently using terminal multiplexers</li><li>Use AI tools to generate commands, debug faster, and enhance automation</li></ul> Rather than prescribing a one-size-fits-all toolkit, Effective Shell teaches you the tools, practices, and strategies to build a shell environment that fits the way you work—efficient, portable, and entirely yours. Whether you’re leveling up from the basics or refining your craft, this book will help you think clearly, automate confidently, and work more effectively in the shell.

Master the tools. Build the workflow. Own the shell. Effective Shell is the hands-on guide for developers who want to master the command line—not just to get around, but to build a fast, flexible, and portable development environment. This isn’t a tour of shell commands. It’s a blueprint for creating workflows that scale across machines, teams, and projects. You’ll go from keystroke-level efficiency to composing powerful pipelines, writing reliable scripts, and automating common development tasks. Then you’ll take it further: managing your configuration with Git, customizing your shell setup, and working seamlessly across remote sessions using tools like Vim and tmux. By the end, your shell won’t just be a tool; it’ll be an extension of your thinking. You’ll learn how to: <ul><li>Find, filter, and reshape data using grep, regular expressions, and shell pipelines</li><li>Write scripts that automate setup, configuration, and repetitive tasks</li><li>Create Python-based CLI tools to pull and process structured data</li><li>Manage your environment with Git and version-controlled dot files</li><li>Edit quickly with Vim and multitask efficiently using terminal multiplexers</li><li>Use AI tools to generate commands, debug faster, and enhance automation</li></ul> Rather than prescribing a one-size-fits-all toolkit, Effective Shell teaches you the tools, practices, and strategies to build a shell environment that fits the way you work—efficient, portable, and entirely yours. Whether you’re leveling up from the basics or refining your craft, this book will help you think clearly, automate confidently, and work more effectively in the shell.

A Practical User's Guide to Working Smarter on the Command Line

Effective Shell

mitp Anwendungen

<ul><li>Erste Schritte von der Installation über die Konfiguration bis hin zum Hinzufügen neuer Smart-Home-Geräte</li>
<li>Automatisierung und smarte Skripte mit Szenen, Blaupausen und YAML</li>
<li>Zahlreiche Must-have-Einstellungen und Praxis-Tipps für das perfekte Smart Home</li></ul>

Home Assistant schnell und einfach einrichten
In diesem Quickstart-Guide erhalten Sie alles nötige Wissen, um Home Assistant in Betrieb zu nehmen und Ihr Smart Home an Ihre persönlichen Bedürfnisse anzupassen. Hierbei liegt ein besonderer Schwerpunkt auf der Sicherheit, Flexibilität und Stabilität. Ein kurzer Rundgang durch die Benutzeroberfläche macht Sie mit allen wichtigen Funktionen hierfür vertraut.

Automatisierung für Einsteiger und Fortgeschrittene
Automatisierungen sind das Herzstück jedes Smart Homes. Sie erhalten nicht nur eine grundlegende Einführung in die Automatisierung mit Szenen und Blaupausen, sondern darüber hinaus vielseitig einsetzbare Beispiele und Erweiterungen an die Hand, wie z.B. smarte App-Benachrichtigungen, automatisierte Backups oder die Verarbeitung von Wetterdaten. Für technisch versierte Nutzer gibt es eine Einführung in das Erstellen eigener Skripte für eine noch individuellere Kontrolle. 

Aus der Praxis für die Praxis
Sie profitieren von der jahrelangen Erfahrung des Autors mit dem Einsatz von Home Assistant. Praktische Tipps und unverzichtbare Must-have-Einstellungen helfen Ihnen, typische Stolperfallen von vornherein zu vermeiden und Ihr Smart Home ganz nach Ihren Vorstellungen einzurichten.

<ul><li>Erste Schritte von der Installation über die Konfiguration bis hin zum Hinzufügen neuer Smart-Home-Geräte</li><li>Automatisierungen und smarte Skripte mit Szenen, Blaupausen und YAML-Code</li><li>Zahlreiche Must-have-Einstellungen und Praxis-Tipps für das perfekte Smart Home</li></ul>Einrichtung von Home AssistantIn diesem Quickstart-Guide erhalten Sie das nötige Wissen, um Home Assistant in Betrieb zu nehmen und Ihr Smart Home an Ihre persönlichen Bedürfnisse anzupassen. Hierbei liegt ein besonderer Schwerpunkt auf Sicherheit, Flexibilität und Stabilität. Ein kurzer Rundgang durch die Benutzeroberfläche macht Sie mit allen wichtigen Funktionen vertraut.Automatisierung für Einsteiger und FortgeschritteneSie erhalten eine umfassende Einführung in die Automatisierung mit Szenen und Blaupausen. Vielseitig einsetzbare Beispiele wie smarte App-Benachrichtigungen, automatisierte Backups oder die Verarbeitung von Wetterdaten dienen als Ausgangspunkt für individuelle Automatisierungen. Technisch versierte Nutzer erfahren, wie sie Skripte von Grund auf selbst erstellen und eigene Smart-Home-Geräte mit ESPHome einbinden. Aus der Praxis für die PraxisSie profitieren von der jahrelangen Erfahrung des Autors. Praktische Tipps und unverzichtbare Must-have-Einstellungen helfen Ihnen, typische Stolperfallen zu vermeiden und Ihre Heimautomation ganz nach Ihren Vorstellungen umzusetzen.Aus dem Inhalt:<ul><li>Installation und Einrichtung</li><li>Benutzeroberfläche kennenlernen</li><li>Wichtige Einstellungen und individuelle Konfiguration</li><li>Sicherheit und Backups</li><li>Neue Geräte hinzufügen</li><li>Entscheidungshilfe: ZigBee, Z-Wave, Matter, Thread oder WLAN</li><li>Zonen, Bereiche, Etagen und Labels</li></ul>

Der Quickstart-Guide - Vom Einstieg bis zur individuellen Heimautomation

Ihr Smart Home mit Home Assistant

In-Depth Guidance and Practice

Red Hat Certified Engineer (Rhce) Ansible Automation Study Guide

Learn how to manage Kubernetes clusters and application configurations with Argo CD, the easy-to-use open source GitOps engine. With this practical book, development teams will quickly gain a foundational understanding of Argo CD for deploying and managing containerized applications - without having to be a Kubernetes expert, and without needing full access to the Kubernetes system. With the adoption of Kubernetes, the ability to effectively manage platform configurations has become a paramount concern. Authors Andrew Block from Red Hat and Christian Hernandez from Akuity show you how to apply GitOps practices with Argo CD to manage one or even thousands of Kubernetes environments with confidence. You'll start with a basic understanding of the Argo CD technology and quickly learn how to achieve faster and more secure deployments. With this book, you will: <ul> <li>Learn the basics of applying GitOps principles to your Kubernetes environments </li><li>Use Argo CD to manage Kubernetes configurations as well as the applications you deploy to the platform </li><li>Manage the configurations of a single Kubernetes cluster or thousands of clusters </li><li>Deploy Kubernetes resources using tools such as Kustomize and Helm </li><li>Understand the importance of managing sensitive material and resources </li></ul>

A Hands-On Guide to Gitops and Kubernetes

Argo CD: Up and Running

If you're looking to build, deploy, and scale AI solutions with confidence, Practical RHEL AI is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However, theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance.&nbsp;With Practical RHEL AI, you’re not just learning AI—you’re building AI solutions that scale.You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>

If you're looking to build, deploy, and scale AI solutions with confidence, Practical RHEL AI is the guide you need. Whether you're an AI developer, data scientist, or DevOps engineer, this book walks you through the entire process—from setting up your AI development environment to optimizing and securing enterprise-scale AI workloads on Red Hat Enterprise Linux.You'll start with the essentials: installation, configuration, and leveraging powerful machine learning frameworks like TensorFlow, PyTorch, and Scikit-learn. Then, you’ll dive into the tools that make AI deployment seamless—GPU acceleration, containerization, and cloud integration with AWS and Azure.Security and compliance are non-negotiable in AI, and this book makes sure you get them right. Learn how to protect your models with encryption, implement role-based access control (RBAC), and meet industry standards like GDPR and HIPAA. You’ll also master AI workload monitoring with Prometheus and Grafana, troubleshoot common issues, and automate deployments with Ansible.&nbsp;However,&nbsp;theory only gets you so far—real-world applications make the difference. Through hands-on examples and case studies in healthcare, finance, and manufacturing, you’ll see how RHEL AI powers innovation in the field. Plus, you'll get insights into the future of AI, including Explainable AI (XAI), Edge AI, and AI governance. With Practical RHEL AI, you’re not just learning AI—you’re building AI solutions that scale.You Will:<ul><li>Learn to Install and Configure RHEL AI to optimize machine learning workloads</li><li>Understand how to train and Deploy AI models using TensorFlow, PyTorch, and Scikit-learn</li><li>Explore how to Integrate and Implement GPU acceleration, cloud computing, and containerization for scalable AI solutions</li><li>Learn to Secure and Evaluate AI workloads with encryption, RBAC, and compliance best practices</li></ul>·&nbsp; &nbsp; &nbsp; This Book is for:AI and machine learning engineers, DevOps and system administrators, Data scientists, and IT professionals and cloud architects

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Digital Design using VerilogHDL: VLSI Modeling, Coding and Verification covers the concepts of digital logic design, including, logic simplification and optimization for digital circuit synthesis and implementation, design and integration of logics (combinational and sequential) in the building of digital circuits and systems, the practical aspects of number systems, the use of VerilogHDL in the logic design, testbench verification, and the synthesis of digital circuits and systems with HDL code examples. Users will find an approach to the design, integration, verification, and synthesizing of a digital logic circuit, complete with coding examples.

VLSI Modeling, Coding and Verification

Digital Design using VerilogHDL

Arduino For Dummies

An essential companion to The Rust Programming Language, 2nd Edition, offering targeted exercises to enhance beginners' skills in reading and writing Rust code. The Rust Programming Language Workbook provides short coding exercises inspired by the rustlings project and organized by topic. The workbook starts with concepts common to many programming languages today like variables, data types, and functions then moves on to important Rust concepts like move semantics, structs, and enums. Short introductions of the concepts are followed by exercises that are intentionally broken. Readers need to change the code or add code to fix each exercise. The workbook also provides hints and example solutions to help beginners get unstuck.

The Rust Programming Language Workbook

Volume II

Cryptocurrency Forensics and Investigation using Open Source Intelligence Techniques (OSINT)

The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology.

The book includes detailed Python examples for each phase, making it an essential resource for researchers and practitioners in animal behavior and technology.

Machine Learning in Farm Animal Behavior using Python

Machine Learning For Dummies

Your UNIX/Linux: The Ultimate Guide

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