The fascinating inside story of how the Android operating system came to be.In 2004, Android was two people who wanted to build camera software but couldn't get investors interested. Today, Android is a large team at Google, delivering an operating system (including camera software) to over 3 billion devices worldwide. This is the inside story, told by the people who made it happen.Androids: The Team that Built the Android Operating System is a first-hand chronological account of how the startup began, how the team came together, and how they all built an operating system from the kernel level to its applications and everything in between. It describes the tenuous beginnings of this ambitious project as a tiny startup, then as a small acquisition by Google that took on an industry with strong, entrenched competition. Author Chet Haase joined the Android team at Google in May 2010 and later recorded conversations with team members to preserve the early days of Android's history leading to the launch of 1.0. This engaging and accessible book captures the developers' stories in their own voices to answer the question: How did Android succeed?
A hands-on, real-world introduction to data analysis with the Python programming language, loaded with wide-ranging examples.Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You’ll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use cases in business management, marketing, and decision support.You will discover Python’s rich set of built-in data structures for basic operations, as well as its robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and more. Examples show how to load data in various formats, how to streamline, group, and aggregate data sets, and how to create charts, maps, and other visualizations. Later chapters go in-depth with demonstrations of real-world data applications, including using location data to power a taxi service, market basket analysis to identify items commonly purchased together, and machine learning to predict stock prices.
Learn to expertly apply a range of machine learning methods to real data with this practical guide.Machine learning without advanced math! This book presents a serious, practical look at machine learning, preparing you for valuable insights on your own data. The Art of Machine Learning is packed with real dataset examples and sophisticated advice on how to make full use of powerful machine learning methods. Readers will need only an intuitive grasp of charts, graphs, and the slope of a line, as well as familiarity with the R programming language.You'll become skilled in a range of machine learning methods, starting with the simple k-Nearest Neighbors method (k-NN), then on to random forests, gradient boosting, linear/logistic models, support vector machines, the LASSO, and neural networks. Final chapters introduce text and image classification, as well as time series. You'll learn not only how to use machine learning methods, but also why these methods work, providing the strong foundational background you'll need in practice. Additional features: • How to avoid common problems, such as dealing with "dirty" data and factor variables with large numbers of levels • A look at typical misconceptions, such as dealing with unbalanced data • Exploration of the famous Bias-Variance Tradeoff, central to machine learning, and how it plays out in practice for each machine learning method • Dozens of illustrative examples involving real datasets of varying size and field of application • Standard R packages are used throughout, with a simple wrapper interface to provide convenient access. After finishing this book, you will be well equipped to start applying machine learning techniques to your own datasets.
Modeling and Simulation in Python teaches readers how to analyze real-world scenarios using the Python programming language, requiring no more than a background in high school math.Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modeling—that is, the art of describing and simulating real-world systems. Readers are guided through modeling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions.Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.
A practical guide to understanding and analyzing cyber attacks by advanced attackers, such as nation states.Cyber attacks are no longer the domain of petty criminals. Today, companies find themselves targeted by sophisticated nation state attackers armed with the resources to craft scarily effective campaigns. This book is a detailed guide to understanding the major players in these cyber wars, the techniques they use, and the process of analyzing their advanced attacks. Whether you’re an individual researcher or part of a team within a Security Operations Center (SoC), you’ll learn to approach, track, and attribute attacks to these advanced actors. The first part of the book is an overview of actual cyber attacks conducted by nation-state actors and other advanced organizations. It explores the geopolitical context in which the attacks took place, the patterns found in the attackers’ techniques, and the supporting evidence analysts used to attribute such attacks. Dive into the mechanisms of: North Korea’s series of cyber attacks against financial institutions, which resulted in billions of dollars stolenThe world of targeted ransomware attacks, which have leveraged nation state tactics to cripple entire corporate enterprises with ransomwareRecent cyber attacks aimed at disrupting or influencing national elections globallyThe book’s second part walks through how defenders can track and attribute future attacks. You’ll be provided with the tools, methods, and analytical guidance required to dissect and research each stage of an attack campaign. Here, Jon DiMaggio demonstrates some of the real techniques he has employed to uncover crucial information about the 2021 Colonial Pipeline attacks, among many other advanced threats. He now offers his experience to train the next generation of expert analysts.
A resource to help forensic investigators locate, analyze, and understand digital evidence found on modern Linux systems after a crime, security incident or cyber attack.Practical Linux Forensics dives into the technical details of analyzing postmortem forensic images of Linux systems which have been misused, abused, or the target of malicious attacks. It helps forensic investigators locate and analyze digital evidence found on Linux desktops, servers, and IoT devices. Throughout the book, you learn how to identify digital artifacts which may be of interest to an investigation, draw logical conclusions, and reconstruct past activity from incidents. You’ll learn how Linux works from a digital forensics and investigation perspective, and how to interpret evidence from Linux environments. The techniques shown are intended to be independent of the forensic analysis platforms and tools used.Learn how to:Extract evidence from storage devices and analyze partition tables, volume managers, popular Linux filesystems (Ext4, Btrfs, and Xfs), and encryptionInvestigate evidence from Linux logs, including traditional syslog, the systemd journal, kernel and audit logs, and logs from daemons and applicationsReconstruct the Linux startup process, from boot loaders (UEFI and Grub) and kernel initialization, to systemd unit files and targets leading up to a graphical loginPerform analysis of power, temperature, and the physical environment of a Linux machine, and find evidence of sleep, hibernation, shutdowns, reboots, and crashesExamine installed software, including distro installers, package formats, and package management systems from Debian, Fedora, SUSE, Arch, and other distrosPerform analysis of time and Locale settings, internationalization including language and keyboard settings, and geolocation on a Linux systemReconstruct user login sessions (shell, X11 and Wayland), desktops (Gnome, KDE, and others) and analyze keyrings, wallets, trash cans, clipboards, thumbnails, recent files and other desktop artifactsAnalyze network configuration, including interfaces, addresses, network managers, DNS, wireless artifacts (Wi-Fi, Bluetooth, WWAN), VPNs (including WireGuard), firewalls, and proxy settingsIdentify traces of attached peripheral devices (PCI, USB, Thunderbolt, Bluetooth) including external storage, cameras, and mobiles, and reconstruct printing and scanning activity
Learn firsthand just how easy a cyberattack can be.Go Hack Yourself is an eye-opening, hands-on introduction to the world of hacking, from an award-winning cybersecurity coach. As you perform common attacks against yourself, you’ll be shocked by how easy they are to carry out—and realize just how vulnerable most people really are.You’ll be guided through setting up a virtual hacking lab so you can safely try out attacks without putting yourself or others at risk. Then step-by-step instructions will walk you through executing every major type of attack, including physical access hacks, Google hacking and reconnaissance, social engineering and phishing, malware, password cracking, web hacking, and phone hacking. You’ll even hack a virtual car! You’ll experience each hack from the point of view of both the attacker and the target. Most importantly, every hack is grounded in real-life examples and paired with practical cyber defense tips, so you’ll understand how to guard against the hacks you perform.You’ll learn:How to practice hacking within a safe, virtual environmentHow to use popular hacking tools the way real hackers do, like Kali Linux, Metasploit, and John the RipperHow to infect devices with malware, steal and crack passwords, phish for sensitive information, and moreHow to use hacking skills for good, such as to access files on an old laptop when you can’t remember the passwordValuable strategies for protecting yourself from cyber attacksYou can’t truly understand cyber threats or defend against them until you’ve experienced them firsthand. By hacking yourself before the bad guys do, you’ll gain the knowledge you need to keep you and your loved ones safe.
Disasters happen. Be prepared. Here’s how.As a leading security engineer, Michal Zalewski has spent his career methodically anticipating and planning for cyberattacks. In Practical Doomsday, Zalewski applies the same thoughtful, rational approach to preparing for disasters of all kinds. By sharing his research, advice, and a healthy dose of common sense, he’ll help you rest easy knowing you have a plan for the worst—even if the worst never comes.The book outlines a level-headed model for evaluating risks, one that weighs the probability of scenarios against the cost of preparing for them. You’ll learn to apply that model to the whole spectrum of potential crises, from personal hardships like job loss or a kitchen fire, to large-scale natural disasters and industrial accidents, to recurring pop-culture fears like all-out nuclear war. You’ll then explore how basic lifestyle adjustments, such as maintaining a robust rainy-day fund, protecting yourself online, and fostering good relationships with your neighbors, can boost your readiness for a wide range of situations. You’ll also take a no-nonsense look at the supplies and equipment essential to surviving sudden catastrophes, like prolonged power outages or devastating storms, and examine the merits and legal implications of different self-defense strategies.You’ll learn:How to identify and meaningfully assess risks in your life, then develop strategies for managing themWays to build up and diversify a robust financial safety net—a key component of nearly all effective preparedness strategiesHow to adapt your prep plans to a variety of situations, from shelter-in-place scenarios to evacuations by car or on footSensible approaches to stockpiling food, water, and other essentials, along with recommendations on what supplies are actually worth having Disasters happen, but they don’t have to dominate your life. Practical Doomsday will help you plan ahead, so you can stop worrying about what tomorrow may bring and start enjoying your life today.
What every software professional should know about security.Designing Secure Software consolidates Loren Kohnfelder’s more than twenty years of experience into a concise, elegant guide to improving the security of technology products. Written for a wide range of software professionals, it emphasizes building security into software design early and involving the entire team in the process. The book begins with a discussion of core concepts like trust, threats, mitigation, secure design patterns, and cryptography. The second part, perhaps this book’s most unique and important contribution to the field, covers the process of designing and reviewing a software design with security considerations in mind. The final section details the most common coding flaws that create vulnerabilities, making copious use of code snippets written in C and Python to illustrate implementation vulnerabilities. You’ll learn how to: • Identify important assets, the attack surface, and the trust boundaries in a system • Evaluate the effectiveness of various threat mitigation candidates • Work with well-known secure coding patterns and libraries • Understand and prevent vulnerabilities like XSS and CSRF, memory flaws, and more • Use security testing to proactively identify vulnerabilities introduced into code • Review a software design for security flaws effectively and without judgment Kohnfelder’s career, spanning decades at Microsoft and Google, introduced numerous software security initiatives, including the co-creation of the STRIDE threat modeling framework used widely today. This book is a modern, pragmatic consolidation of his best practices, insights, and ideas about the future of software.
A fun yet thorough Python-based introduction to algorithms.
Crack core maths concepts while learning the powerful language of code with in this two-in-one Python programming guide.
A guide to using the Ghidra software reverse engineering tool suite.
A book for people with no experience with machine learning and who are looking for an intuition-based, hands-on introduction using Python.
Demystifies the algorithms used in modern graphics software with basic programming and secondary school maths.
A hands-on, child-friendly, application-based introduction to machine learning and artificial intelligence (AI) using the Scratch programming language.
An ethical introduction to social engineering.
An approachable guide to modern cyber security using ancient ninja scrolls as its foundation.
Experienced programmers will improve their Python skills with these useful one-liners.
An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.
A hands-on guide to improving an organization's computer security and developing scanning tools on a budget.
An introduction to the fundamental workings of a computer, from data storage formats, computer arithmetic, basic data types, logic gates and circuits, to the CPU.
The Creator of OpenSCAD, Marius Kintel, teaches anyone how to code and print fun games, puzzles, and more.
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