Books published by O'Reilly Media

Using a well-conceived incident response plan in the aftermath of an online security breach enables your team to identify attackers and learn how they operate. But, only when you approach incident response with a cyber threat intelligence mindset will you truly understand the value of that information. With this practical guide, youll learn the fundamentals of intelligence analysis, as well as the best ways to incorporate these techniques into your incident response process.Each method reinforces the other: threat intelligence supports and augments incident response, while incident response generates useful threat intelligence. This book helps incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts understand, implement, and benefit from this relationship.In three parts, this in-depth book includes:The fundamentals: get an introduction to cyber threat intelligence, the intelligence process, the incident-response process, and how they all work togetherPractical application: walk through the intelligence-driven incident response (IDIR) process using the F3EAD processFind, Fix Finish, Exploit, Analyze, and DisseminateThe way forward: explore big-picture aspects of IDIR that go beyond individual incident-response investigations, including intelligence team building

With this practical guide, Andreas M. Antonopoulos and Gavin Wood provide everything you need to know about building smart contracts and DApps on Ethereum and other virtual-machine blockchains.

Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You'll begin at square one, learning how the web and web pages work, and then steadily build from there.

Now in full color, the 10th anniversary edition of this classic book takes you deep into the influences that underlie modern video games, and examines the elements they share with traditional games such as checkers.

Learn to write code that's readable, reusable, clean, and maintainable -- a goal that eludes many people who code for a living. The Art of Coding helps you focus on the nuts and bolts of programming with simple and practical techniques you can use every time you sit down to write code.

In this hilarious and highly practical book, author and professional speaker Scott Berkun reveals the techniques behind what great communicators do, and shows how anyone can learn to use them well.

This best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.

Build interactive, data-driven websites with the potent combination of open-source technologies and web standards, even if you have only basic HTML knowledge. With this popular hands-on guide, youll tackle dynamic web programming with the help of todays core technologies: PHP, MySQL, JavaScript, jQuery, CSS, and HTML5.Explore each technology separately, learn how to use them together, and pick up valuable web programming practices along the way. At the end of the book, youll put everything together to build a fully functional social networking site, using XAMPP or any development stack you choose.Learn PHP in-depth, along with the basics of object-oriented programmingExplore MySQL, from database structure to complex queriesUse the MySQLi Extension, PHPs improved MySQL interfaceCreate dynamic PHP web pages that tailor themselves to the userManage cookies and sessions, and maintain a high level of securityMaster the JavaScript languageand enhance it with jQueryUse Ajax calls for background browser/server communicationAcquire CSS2 and CSS3 skills for professionally styling your web pagesImplement all of the new HTML5 features, including geolocation, audio, video, and the canvas

Make: Electronics teaches the fundamentals and also provides advice on the tools and supplies that are necessary. Component kits are available, specifically developed for the third edition.

By taking you through Python's key language features and libraries, this practical book shows you how to make your code shorter, faster, and more readable all at the same time - what experts consider Pythonic.

Improve your understanding of Scrum through the proven experience and collected wisdom of experts around the world. Based on real-life experiences, the 97 essays in this unique book provide a wealth of knowledge and expertise from established practitioners who have dealt with specific problems and challenges with Scrum.Youll find out more about the rules and roles of this framework, as well as tactics, strategies, specific patterns to use with Scrum, and stories from the trenches. Youll also gain insights on how to apply, tune, and tweak Scrum for your work. This guide is an ideal resource for people new to Scrum and those who want to assess and improve their understanding of this framework."e;Scrum Is Simple. Just Use It As Is.,"e; Ken Schwaber"e;The 'Standing Meeting,'"e; Bob WarfieldSpecialization Is for Insects, James O. Coplien"e;Scrum Events Are Rituals to Ensure Good Harvest,"e; Jasper LamersServant Leadership Starts from Within, Bob Galen"e;Agile Is More than Sprinting,"e; James W. Grenning

Today, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering.How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the worlds leading practitioners construct and maintain software. This book covers Googles unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.Youll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code:How time affects the sustainability of software and how to make your code resilient over timeHow scale affects the viability of software practices within an engineering organizationWhat trade-offs a typical engineer needs to make when evaluating design and development decisions

Using stories from his time at Netscape, Apple, and Slack, Michael Lopp presents a series of small but compelling practices to help you build leadership skills. You'll learn how to create teams that are highly productive, highly respected, and highly trusted.

If you're one of the many developers uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 75 code-rich recipes, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques, using libraries and language features in .NET and C#.

Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover.Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started.Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learningSet up and manage machine learning projects end-to-endBuild an anomaly detection system to catch credit card fraudClusters users into distinct and homogeneous groupsPerform semisupervised learningDevelop movie recommender systems using restricted Boltzmann machinesGenerate synthetic images using generative adversarial networks

In this book, you'll find 54 hands-on descriptions that help you do the key methods used in service design. These methods include instructions, guidelines, and tips-and-tricks for activities within research, ideation, prototyping, and facilitation.

Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. Thats why Facebook, Google, and Microsoft invented gradual static type layers for their dynamically typed JavaScript and Python code. This practical book shows you how one such type layer, TypeScript, is unique among them: it makes programming fun with its powerful static type system.If youre a programmer with intermediate JavaScript experience, author Boris Cherny will teach you how to master the TypeScript language. Youll understand how TypeScript can help you eliminate bugs in your code and enable you to scale your code across more engineers than you could before.In this book, youll:Start with the basics: Learn about TypeScripts different types and type operators, including what theyre for and how theyre usedExplore advanced topics: Understand TypeScripts sophisticated type system, including how to safely handle errors and build asynchronous programsDive in hands-on: Use TypeScript with your favorite frontend and backend frameworks, migrate your existing JavaScript project to TypeScript, and run your TypeScript application in production

Despite the increase of high-profile hacks, record-breaking data leaks, and ransomware attacks, many organizations dont have the budget to establish or outsource an information security (InfoSec) program, forcing them to learn on the job. For companies obliged to improvise, this pragmatic guide provides a security-101 handbook with steps, tools, processes, and ideas to help you drive maximum-security improvement at little or no cost.Each chapter in this book provides step-by-step instructions for dealing with a specific issue, including breaches and disasters, compliance, network infrastructure and password management, vulnerability scanning, and penetration testing, among others. Network engineers, system administrators, and security professionals will learn tools and techniques to help improve security in sensible, manageable chunks.Learn fundamentals of starting or redesigning an InfoSec programCreate a base set of policies, standards, and proceduresPlan and design incident response, disaster recovery, compliance, and physical securityBolster Microsoft and Unix systems, network infrastructure, and password managementUse segmentation practices and designs to compartmentalize your networkExplore automated process and tools for vulnerability managementSecurely develop code to reduce exploitable errorsUnderstand basic penetration testing concepts through purple teamingDelve into IDS, IPS, SOC, logging, and monitoring

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutzs popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. Its an ideal way to begin, whether youre new to programming or a professional developer versed in other languages.Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3 the latest releases in the 3.X and 2.X linesplus all other releases in common use today. Youll also learn some advanced language features that recently have become more common in Python code.Explore Pythons major built-in object types such as numbers, lists, and dictionariesCreate and process objects with Python statements, and learn Pythons general syntax modelUse functions to avoid code redundancy and package code for reuseOrganize statements, functions, and other tools into larger components with modulesDive into classes: Pythons object-oriented programming tool for structuring codeWrite large programs with Pythons exception-handling model and development toolsLearn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

Want to know how to use an electronic component? This second book of a three-volume set includes key information on electronics parts for your projects - complete with photographs, schematics, and diagrams. You'll learn what each one does, how it works, why it's useful, and what variants exist.

Written by members of Cisco's Computer Security Incident Response Team, this book shows IT and information security professionals how to create an InfoSec playbook by developing strategy, technique, and architecture.

Are you an entrepreneur about to create a new web application? If you want to maximize your chances of building something customers want, this book demonstrates ways to apply and test techniques for customer development, Lean Startup, and bootstrapping.

Learn how to use Autodesk Fusion 360 to digitally model your own original projects for a 3D printer or a CNC device.

Written by two experienced systems programmers, this book explains how Rust manages to bridge the gap between performance and safety, and how you can take advantage of it.

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation.You'll learn how to:Identify and mitigate common challenges when training, evaluating, and deploying ML modelsRepresent data for different ML model types, including embeddings, feature crosses, and moreChoose the right model type for specific problemsBuild a robust training loop that uses checkpoints, distribution strategy, and hyperparameter tuningDeploy scalable ML systems that you can retrain and update to reflect new dataInterpret model predictions for stakeholders and ensure models are treating users fairly

The new edition of this cookbook applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated book provides a framework to help you construct solutions and executable examples in several flavors of SQL

For nearly 25 years this best seller has been the go-to guide for JavaScript programmers. The seventh edition is fully updated to cover the 2020 version of JavaScript, and new chapters cover classes, modules, iterators, generators, Promises, async/await, and metaprogramming.

Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.Train models in computer vision, natural language processing, tabular data, and collaborative filteringLearn the latest deep learning techniques that matter most in practiceImprove accuracy, speed, and reliability by understanding how deep learning models workDiscover how to turn your models into web applicationsImplement deep learning algorithms from scratchConsider the ethical implications of your workGain insight from the foreword by PyTorch cofounder, Soumith Chintala