Using Sqlite Pdf
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R for Business Analytics
Author: A Ohri
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-09-14
This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples.
Cracking: Red team Hacking
🚀 Unleash Your Inner Hacker with “Cracking: Red Team Hacking”! 🖥️🔐 Are you ready to dive deep into the world of offensive security? Cracking: Red Team Hacking is your ultimate guide to mastering the four powerhouse pentesting distributions: 🐉 Kali Linux – The industry standard for penetration testing, loaded with Metasploit, Nmap, Burp Suite, and hundreds more tools. Learn how to configure, customize, and conquer every engagement. 🦅 Parrot OS – A nimble, privacy-first alternative that balances performance with stealth. Discover built-in sandboxing, AnonSurf integration, and lightweight workflows for covert ops. 🛡️ BackBox – Ubuntu-based stability meets pentest prowess. Seamlessly install meta-packages for web, wireless, and reverse-engineering testing, all wrapped in a polished XFCE desktop. ⚔️ BlackArch – Arch Linux’s rolling-release power with 2,500+ specialized tools at your fingertips. From RFID to malware analysis, build bespoke toolchains and automate complex workflows. Why You Need This Book 📘 Hands-On Tutorials: Step-by-step guides—from initial OS install to advanced exploit chaining—that you can follow in real time. Custom Toolchains: Learn to curate and automate your perfect toolkit with Docker, Ansible, and Packer recipes. Real-World Scenarios: Walk through cloud attacks, wireless exploits, and container escapes to sharpen your red team skills. OSINT & Social Engineering: Integrate reconnaissance tools and phishing frameworks for full-spectrum assessments. Persistence & Post-Exploitation: Master C2 frameworks (Empire, Cobalt Strike, Sliver) and implant stealthy backdoors. What You’ll Walk Away With 🏆 Confidence to choose the right distro for every engagement Velocity to spin up environments in minutes Precision in tool selection and workflow automation Stealth for covert operations and anti-forensics Expertise to beat blue team defenses and secure real-world networks Perfect For 🎯 Aspiring pentesters & seasoned red team operators Security consultants & in-house defenders sharpening their offense DevOps & SREs wanting to “think like an attacker” Hobbyists craving a structured, professional roadmap 🔥 Limited-Time Offer 🔥 Get your copy of Cracking: Red Team Hacking NOW and transform your penetration testing game. Equip yourself with the knowledge, scripts, and configurations that top red teams rely on—no fluff, pure action. 👉 Order Today and start cracking the code of modern security! 🛒✨
Python for Bioinformatics
Programming knowledge is often necessary for finding a solution to a biological problem. Based on the author’s experience working for an agricultural biotechnology company, Python for Bioinformatics helps scientists solve their biological problems by helping them understand the basics of programming. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. The book begins with a very basic introduction that teaches the principles of programming. It then introduces the Biopython package, which can be useful in solving life science problems. The next section covers sophisticated tools for bioinformatics, including relational database management systems and XML. The last part illustrates applications with source code, such as sequence manipulation, filtering vector contamination, calculating DNA melting temperature, parsing a genbank file, inferring splicing sites, and more. The appendices provide a wealth of supplementary information, including instructions for installing Python and Biopython and a Python language and style guide. By incorporating examples in biology as well as code fragments throughout, the author places a special emphasis on practice, encouraging readers to experiment with the code. He shows how to use Python and the Biopython package for building web applications, genomic annotation, data manipulation, and countless other applications.