Search results for "offensive security using python"
Items in stock - 4 working days delivery time
Python Without Fear
Praise for this book, Python Without Fear “This is really a great book. I wish I’d had it when I was learning Python.” –John M. Wargo, author of Apache Cordova 4 Programming Praise for the previous book in the series, C++ Without Fear “I’m in love with your C++ Without Fear book. It keeps me awake for hours during the night. Thanks to you, I got most of the idea in just a few hours.” –Laura Viral, graduate physics student at CERN and Istanbul, Turkey “It’s hard to tell where I began and ended with your book. I felt like I woke up and literally knew how to write C++ code. I can’t overstate the confidence you gave me.” – Danny Grady, senior programmer/analyst at a Fortune 500 Company Whether you’re new to programming or moving from another language, Python Without Fear will quickly make you productive! Brian Overland’s unique approach to Python includes: Taking you by the hand while teaching topics from the very basics to intermediate and advanced features of PythonTeaching by examples that are explained line by lineHeavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and more!How to think “Pythonically” and avoid common “gotchas” Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.
R 1,377.00
Items we need to order for you
R 611.00
R 2,959.71
R 305.00
R 444.00
R 610.00
R 428.00
Automate the Boring Stuff with Python, 3rd Edition
If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll learn the basics of coding in Python and explore the language's rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: Expanded coverage of developer techniques, like creating command line programs; Updated examples and new projects; Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities; Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals. Even if you've never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work - the way it should be!
R 1,669.00
R 458.00
R 580.00
R 245.00
R 580.00
R 798.00
Python Book
The Python Book Discover the power of one of the fastest growing programming languages in the world with this insightful new resource The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling. Readers will learn what in the Python language is important for data analysis, and why. The Python Book offers readers a thorough and comprehensive introduction to Python that is both simple enough to be ideal for a novice programmer, yet robust to be useful for those more experienced in the language. The book assists budding programmers to gradually increase their skills as they move through the book, always with an understanding of what they are covering and why it is useful. Used by major companies like Google, Facebook, Instagram, Spotify, and more, Python promises to remain central to the programming landscape for years to come. Containing a thorough discussion of Python programming topics like variables, equalities and comparisons, tuple and dictionary data types, while and for loops, and if statements, readers will also learn: How to use highly useful Python programming libraries, including Pandas and MatplotlibHow to write Python functions and classesHow to write and use Python scriptsTo deal with different data types within Python Perfect for statisticians, computer scientists, software programmers, and practitioners working in private industry and medicine, The Python Book will also be of interest to students in any of the aforementioned fields. As it assumes no programming experience or knowledge, the book is ideal for those who work with data and want to learn to use Python to enhance their work.
R 1,887.00
R 641.00
R 580.00
Applied Cyber Threat Intelligence
Applied Cyber Threat Intelligence: From Detection to Disruption is a comprehensive guide for cybersecurity students, analysts, and professionals looking to gain practical, in-demand skills in today’s rapidly evolving digital threat landscape. This book bridges the gap between theoretical knowledge and operational expertise, providing readers with a hands-on approach to Cyber Threat Intelligence (CTI), threat hunting, malware analysis, and open-source investigations.Covering the full CTI lifecycle from intelligence collection and analysis to adversary attribution and takedown, the book offers step-by-step walkthroughs of key tools such as Sysmon-Modular, DeTT&CT, OSSEM, and VirusTotal. Readers will learn how to conduct static and dynamic malware analysis, apply threat frameworks like MITRE ATT&CK and the Diamond Model to perform real-world investigations across surface, deep, and dark web environments.Designed for both classroom use and professional upskilling, the book includes case studies and lab exercises. Whether you're preparing for a cybersecurity role or enhancing your current capabilities, this book equips you with the analytical mindset, technical skills, and practical tools to proactively detect, understand, and respond to cyber threats with confidence and precision.
R 6,118.00
R 580.00
Automate The Boring Stuff With Python, 2nd Edition
In this second edition of Automate the Boring Stuff with Python, you'll learn the basics of programming in Python, the fastest growing programming language today, before moving on to create Python programs that effortlessly perform useful and impressive feats of automation. This updated edition is full of step-by-step instructions that walk through each programme. Practice projects at the end of each chapter challenge you to improve those programmes and use your newfound skills to automate similar tasks.
R 1,391.00
R 1,400.00
R 1,379.10
R 915.00
R 915.00
Deep Learning Techniques for IoT Security and Privacy
This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.
R 5,562.54
Adversarial Symbiosis in Cybersecurity
Apply evolutionary biology to AI-driven cybersecurity attack and defense Offensive AI now discovers vulnerabilities, generates adversarial examples that defeat defensive models, and adapts in real time. Adversarial Symbiosis in Cybersecurity: Co-evolving AI for Attack, Defense and Governance reconceptualizes this landscape as a living ecosystem where defensive AI, offensive AI, and human operators continuously co-evolve through adaptive learning loops, with each side’s adaptations shaping the other’s trajectory. Drawing on predator-prey dynamics and biological co-evolution, the book delivers quantitative models, simulation methods, and practical design principles for building AI systems that adapt dynamically rather than merely detect threats. Later chapters address offensive AI capabilities including automated exploit discovery and adversarial example generation, while governance models balance innovation with ethics, safety, and regulatory compliance. The book also covers: Human-centered approaches integrating cognitive science, decision support design, and trust calibration into AI-augmented security operations workflowsReal-world case studies demonstrating co-evolutionary patterns in advanced persistent threat campaigns, phishing ecosystems, and IoT botnetsPractical architectures for designing adaptive defense systems that respond to evolving offensive techniques through continuous learning loopsMulti-agent reinforcement learning and meta-learning frameworks applied to emergent behaviors within adversarial cybersecurity environmentsGovernance and policy frameworks addressing ethical deployment of offensive AI capabilities alongside regulatory compliance requirements Written for security operations center analysts and managers, threat intelligence specialists, and incident response teams, this book also serves security architects, engineers, and CISOs seeking a rigorous co-evolutionary framework for understanding and operationalizing AI-driven cybersecurity strategy.
R 4,396.00
R 641.00
R 305.00
R 608.00
R 764.00
R 1,374.00
R 702.00
R 672.00
Machine Learning and Security
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis. Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike. Learn how machine learning has contributed to the success of modern spam filters Quickly detect anomalies, including breaches, fraud, and impending system failure Conduct malware analysis by extracting useful information from computer binaries Uncover attackers within the network by finding patterns inside datasets Examine how attackers exploit consumer-facing websites and app functionality Translate your machine learning algorithms from the lab to production Understand the threat attackers pose to machine learning solutions
R 1,638.00
R 5,412.00
R 1,124.48
