Informatyka
Clif Flynt, Sarath Lakshman, Shantanu Tushar
The shell is the most powerful tool your computer provides. Despite having it at their fingertips, many users are unaware of how much the shell can accomplish.Using the shell, you can generate databases and web pages from sets of files, automate monotonous admin tasks such as system backups, monitor your system's health and activity, identify network bottlenecks and system resource hogs, and more.This book will show you how to do all this and much more.This book, now in its third edition, describes the exciting new features in the newest Linux distributions to help you accomplish more than you imagine. It shows how to use simple commands to automate complex tasks, automate web interactions, download videos, set up containers and cloud servers, and even get free SSL certificates.Starting with the basics of the shell, you will learn simple commands and how to apply them to real-world issues. From there, you'll learn text processing, web interactions, network and system monitoring, and system tuning.Software engineers will learn how to examine system applications, how to use modern software management tools such as git and fossil for their own work, and how to submit patches to open-source projects.Finally, you'll learn how to set up Linux Containers and Virtual machines and even run your own Cloud server with a free SSL Certificate from letsencrypt.org.
Linux Shell Scripting for Hackers. Automate and scale your hacking process with bash scripting
Valentine G. Nachi, Donald A. Tevault
Linux shell scripting is a foundational skill for ethical hackers and penetration testers who want to automate repetitive tasks and build powerful command-line tools. This practical guide shows you how to use bash scripting for cybersecurity automation, helping you streamline reconnaissance, exploitation, and post-exploitation workflows on Linux systems.You’ll progress from advanced bash techniques to real-world penetration testing applications, learning how to automate reconnaissance processes, parse logs, extract indicators, and develop custom exploitation utilities. Using tools such as awk, sed, grep, and regular expressions, you’ll manipulate data efficiently and craft scripts that solve real security challenges.A dedicated section on network scripting demonstrates how to build scripts that interact with remote systems, perform scanning tasks, and gather actionable information. You’ll also explore system hardening automation and learn best practices for writing secure, modular, and maintainable shell scripts.By the end of this book, you’ll have the confidence to integrate Linux shell scripting into your ethical hacking toolkit, scale your penetration testing workflow, and build reusable security tools tailored to real-world cybersecurity scenarios.
Linux. The Comprehensive Guide
Rheinwerk Publishing, Inc, Michael Kofler
This guide begins with Linux fundamentals, including an overview of its history, distributions, and installation methods. Readers learn to install Linux on various hardware configurations while understanding open-source licensing and partitioning. The book then introduces desktop environments like GNOME and KDE, showing how to navigate and customize them for productivity.Building on this foundation, readers develop command-line proficiency, mastering terminal usage and shell scripting with Bash and Zsh. The book covers file and process management, network tools, and package management, giving readers confidence to optimize and secure their systems. Later chapters dive into system administration topics such as kernel compilation, bootloader configuration, and virtualization with VirtualBox and QEMU.Finally, the book focuses on server installation, secure shell configuration, web and mail server setup, and file sharing via Samba. It also addresses backup strategies, firewall setup, and security enhancements with SELinux and AppArmor, preparing readers to maintain reliable, secure Linux environments in professional or personal contexts.
Colin Holgate, Joel W Gerdeen
The ideal reader for this book would be someone who already knows LiveCode, is interested in creating mobile apps, and wants to save the many hours it took for me to track down all of the information on how to get started! Chapter 1, LiveCode Fundamentals, will help those of you who know programming but are not familiar with LiveCode. The knowledge you've acquired should be enough for you to benefit from the remainder of the book.
Colin Holgate
LiveCode is a tool for developing mobile apps designed for those who don't want to use Objective-C, C++ or Java. Although it is a tool full of rich features to create apps it can be challenging to get beyond the basics and build interactive and fun apps. Using this book, you can develop various apps and this book guides you through till you upload the apps in the appstore.LiveCode Mobile Development Beginner's Guide will explain how to create applications with the easiest, most practical cross platform framework available, Livecode Mobile and upload the apps to the appstore with minimal effort.Throughout the book, you'll learn details that will help you become a pro at mobile app development using LiveCode. You begin with simple calculator application and quickly enhance it using LiveCode Mobile. Start by learning the interface controls for videos and images of LiveCode's environment. Dig into configuring devices, building user interfaces, and making rich media applications, then finish by uploading the mobile applications to App Stores. You will learn how to build apps for devices such as iPhone, Android with the recently developed LiveCode Mobile through sample applications of increasing complexity.
LLM Design Patterns. A Practical Guide to Building Robust and Efficient AI Systems
Ken Huang
This practical guide for AI professionals enables you to build on the power of design patterns to develop robust, scalable, and efficient large language models (LLMs). Written by a global AI expert and popular author driving standards and innovation in Generative AI, security, and strategy, this book covers the end-to-end lifecycle of LLM development and introduces reusable architectural and engineering solutions to common challenges in data handling, model training, evaluation, and deployment.You’ll learn to clean, augment, and annotate large-scale datasets, architect modular training pipelines, and optimize models using hyperparameter tuning, pruning, and quantization. The chapters help you explore regularization, checkpointing, fine-tuning, and advanced prompting methods, such as reason-and-act, as well as implement reflection, multi-step reasoning, and tool use for intelligent task completion. The book also highlights Retrieval-Augmented Generation (RAG), graph-based retrieval, interpretability, fairness, and RLHF, culminating in the creation of agentic LLM systems.By the end of this book, you’ll be equipped with the knowledge and tools to build next-generation LLMs that are adaptable, efficient, safe, and aligned with human values.*Email sign-up and proof of purchase required
Paul Iusztin, Maxime Labonne, Julien Chaumond, Hamza...
Artificial intelligence has undergone rapid advancements, and Large Language Models (LLMs) are at the forefront of this revolution. This LLM book offers insights into designing, training, and deploying LLMs in real-world scenarios by leveraging MLOps best practices. The guide walks you through building an LLM-powered twin that’s cost-effective, scalable, and modular. It moves beyond isolated Jupyter notebooks, focusing on how to build production-grade end-to-end LLM systems.Throughout this book, you will learn data engineering, supervised fine-tuning, and deployment. The hands-on approach to building the LLM Twin use case will help you implement MLOps components in your own projects. You will also explore cutting-edge advancements in the field, including inference optimization, preference alignment, and real-time data processing, making this a vital resource for those looking to apply LLMs in their projects.By the end of this book, you will be proficient in deploying LLMs that solve practical problems while maintaining low-latency and high-availability inference capabilities. Whether you are new to artificial intelligence or an experienced practitioner, this book delivers guidance and practical techniques that will deepen your understanding of LLMs and sharpen your ability to implement them effectively.*Email sign-up and proof of purchase required
Valentina Alto
Duże modele językowe (LLM) stały się technologicznym przełomem. Ich wszechstronność i funkcjonalność sprawiły, że coraz częściej mówi się o nowej erze inteligentnie działających urządzeń i aplikacji. Umiejętność zastosowania LLM we własnych projektach już dziś jest koniecznością dla wielu projektantów i programistów. Dzięki tej książce opanujesz podstawowe koncepcje związane z użyciem LLM. Poznasz unikatowe cechy i mocne strony kilku najważniejszych modeli (w tym GPT, Gemini, Falcon). Następnie dowiesz się, w jaki sposób LangChain, lekki framework Pythona, pozwala na projektowanie inteligentnych agentów do przetwarzania danych o nieuporządkowanej strukturze. Znajdziesz tu również informacje dotyczące dużych modeli podstawowych, które wykraczają poza obsługę języka i potrafią wykonywać różne zadania związane na przykład z grafiką i dźwiękiem. Na koniec zgłębisz zagadnienia dotyczące ryzyka związanego z LLM, a także poznasz techniki uniemożliwiania tym modelom potencjalnie szkodliwych działań w aplikacji. Najciekawsze zagadnienia: architektura dużych modeli językowych unikatowe funkcje LLM komponenty służące do koordynacji sztucznej inteligencji, w tym tworzenia frontendu użycie wiedzy nieparametrycznej i wektorowych baz danych dostrajanie dużych modeli językowych do własnych potrzeb odpowiedzialność i etyka w systemach korzystających z LLM Odkryj, jak łatwo model generatywnej AI zintegruje się z Twoją aplikacją! O książce w mediach: Eksperyment Myślowy - recenzja książki