SKU: 69423431564

Practical Binary Analysis: Build Your Own Linux Tools For Binary Instrumentation, Analysis, And Disassembly

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Description

Practical Binary Analysis: Build Your Own Linux Tools For Binary Instrumentation, Analysis, And DisassemblyPractical Binary Analysis: Build Your Own Linux Tools For Binary Instrumentation, Analysis, And Disassembly Stop manually analyzing binary! Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics, such as binary instrumentation, dynamic taint analysis, and symbolic execution, in an accessible way. Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics in an

Practical Binary Analysis: Build Your Own Linux Tools For Binary Instrumentation, Analysis, And Disassembly

Stop manually analyzing binary! Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics, such as binary instrumentation, dynamic taint analysis, and symbolic execution, in an accessible way.

Practical Binary Analysis is the first book of its kind to present advanced binary analysis topics in an accessible way. After an introduction on the basics of binary formats, disassembly, and code injection, you'll dive into more complex topics such as binary instrumentation, dynamic taint analysis, and symbolic execution. By the end of the book, you'll be able to build your own binary analysis tools on Linux by following hands-on and practical examples.

SPECIFICATIONS:

Author:Dennis Andrissa - Деннис Андриссе

Publisher:No Starch Press

Language:English

Publication Date:2018

Number of pages:456 pst

Format:Paperback

Width:178 mm / 7'

Height:234 mm / 9,2'

Weight:908 g

ISBN:9781593279127

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SKU: 69423431564

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Johann
Chelsea, US
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 4, 2025
J
Verified Purchase
jrw879
Birmingham, US
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
W
Verified Purchase
Wil C
Dallas, US
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book. Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 23, 2025
A
Verified Purchase
Abdul
Whiting, US
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
Y
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Y. Banga
Fort Morgan, US
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 21, 2025

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