70 Tips and Tricks for Mastering the CISSP Exam
Learn how to think and apply knowledge in a practical way. Tackling the CISSP exam is vastly different from simply understanding the subject matter. Even the most experienced security professionals can fail because the questions are tricky and ask the test taker to pick the best of the options given. The CISSP exam conducted by ISC2 is the hardest and most rewarded cybersecurity examination. The test has several domains and sub-domains and covers a wide range of topics on security, including cyber and physical building security fields. It also covers breaches, discovery of breaches, and how to report data breaches. Because the subject area is vast and the questions are almost never repeated, it is hard for the exam taker to memorize or quickly discover the correct solution. The four options given as answers typically have two very close matches to the question. With quick analysis, it is possible to discover from the verbiage of a question what is truly being asked and learn how t ...
Learn how to think and apply knowledge in a practical way. Tackling the CISSP exam is vastly different from simply understanding the subject matter. Even the most experienced security professionals can fail because the questions are tricky and ask the test taker to pick the best of the options given. The CISSP exam conducted by ISC2 is the hardest and most rewarded cybersecurity examination. The test has several domains and sub-domains and covers a wide range of topics on security, including cyber and physical building security fields. It also covers breaches, discovery of breaches, and how to report data breaches. Because the subject area is vast and the questions are almost never repeated, it is hard for the exam taker to memorize or quickly discover the correct solution. The four options given as answers typically have two very close matches to the question. With quick analysis, it is possible to discover from the verbiage of a question what is truly being asked and learn how t ...
Modern Web Development on the JAMstack
Learn how to run your web projects - everything from simple sites to complex applications - without a single server. It's possible with the JAMstack, a modern web development architecture for deploying fast, highly-scalable sites and applications that don't require traditional origin infrastructure. This practical report explains how the JAMstack delivers better performance, higher security, and lower cost of scaling than server-run web apps. Based on client-side JavaScript, reusable APIs, and prebuilt Markup, the JAMstack sits at the center of several converging trends and technologies already being used to support today's web projects. Authors Mathias Biilmann and Phil Hawksworth from Netlify demonstrate how the JAMstack drastically improves performance, increases reliability, and reduces the surface for attacks. ...
Learn how to run your web projects - everything from simple sites to complex applications - without a single server. It's possible with the JAMstack, a modern web development architecture for deploying fast, highly-scalable sites and applications that don't require traditional origin infrastructure. This practical report explains how the JAMstack delivers better performance, higher security, and lower cost of scaling than server-run web apps. Based on client-side JavaScript, reusable APIs, and prebuilt Markup, the JAMstack sits at the center of several converging trends and technologies already being used to support today's web projects. Authors Mathias Biilmann and Phil Hawksworth from Netlify demonstrate how the JAMstack drastically improves performance, increases reliability, and reduces the surface for attacks. ...
Practical Vulnerability Management
Bugs: they're everywhere. Software, firmware, hardware - they all have them. Bugs even live in the cloud. And when one of these bugs is leveraged to wreak havoc or steal sensitive information, a company's prized technology assets suddenly become serious liabilities. Fortunately, exploitable security weaknesses are entirely preventable; you just have to find them before the bad guys do. Practical Vulnerability Management will help you achieve this goal on a budget, with a proactive process for detecting bugs and squashing the threat they pose. The book starts by introducing the practice of vulnerability management, its tools and components, and detailing the ways it improves an enterprise's overall security posture. Then it's time to get your hands dirty! As the content shifts from conceptual to practical, you're guided through creating a vulnerability-management system from the ground up, using open-source software. Along the way, you'll learn how to: Generate accurate and usa ...
Bugs: they're everywhere. Software, firmware, hardware - they all have them. Bugs even live in the cloud. And when one of these bugs is leveraged to wreak havoc or steal sensitive information, a company's prized technology assets suddenly become serious liabilities. Fortunately, exploitable security weaknesses are entirely preventable; you just have to find them before the bad guys do. Practical Vulnerability Management will help you achieve this goal on a budget, with a proactive process for detecting bugs and squashing the threat they pose. The book starts by introducing the practice of vulnerability management, its tools and components, and detailing the ways it improves an enterprise's overall security posture. Then it's time to get your hands dirty! As the content shifts from conceptual to practical, you're guided through creating a vulnerability-management system from the ground up, using open-source software. Along the way, you'll learn how to: Generate accurate and usa ...
Building iPhone Apps with HTML, CSS, and JavaScript
It's a fact: if you know HTML, CSS, and JavaScript, you already have the tools you need to develop your own iPhone apps. With this book, you'll learn how to use these open source web technologies to design and build apps for the iPhone and iPod Touch on the platform of your choice-without using Objective-C or Cocoa. Device-agnostic mobile apps are the wave of the future, and this book shows you how to create one product for several platforms. You'll find guidelines for converting your product into a native iPhone app using the free PhoneGap framework. And you'll learn why releasing your product as a web app first helps you find, fix, and test bugs much faster than if you went straight to the App Store with a product built with Apple's tools. Build iPhone apps with tools you already know how to use; Learn how to make an existing website look and behave like an iPhone app; Add native-looking animations to your web app using jQTouch; Take advantage of client-side data storage with a ...
It's a fact: if you know HTML, CSS, and JavaScript, you already have the tools you need to develop your own iPhone apps. With this book, you'll learn how to use these open source web technologies to design and build apps for the iPhone and iPod Touch on the platform of your choice-without using Objective-C or Cocoa. Device-agnostic mobile apps are the wave of the future, and this book shows you how to create one product for several platforms. You'll find guidelines for converting your product into a native iPhone app using the free PhoneGap framework. And you'll learn why releasing your product as a web app first helps you find, fix, and test bugs much faster than if you went straight to the App Store with a product built with Apple's tools. Build iPhone apps with tools you already know how to use; Learn how to make an existing website look and behave like an iPhone app; Add native-looking animations to your web app using jQTouch; Take advantage of client-side data storage with a ...
Operating Systems: From 0 to 1
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn: How to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. A big picture of how each layer of a computer is related to the other, from hardware to software. Write code independently. It's pointless to copy and paste code. Real learning happens when you solve problems on your own. Some examples are given to kick start, but most problems are yours to conquer. However, the solutions are available online for you to examine after giving it a good try. Linux as a development environment and how to use common tools for low-level programming. x86 assembly in-depth. How a program is structured so that an operating system can run. How to debug a program running directly on hardware with gdb an ...
This book helps you gain the foundational knowledge required to write an operating system from scratch. Hence the title, 0 to 1. After completing this book, at the very least you will learn: How to write an operating system from scratch by reading hardware datasheets. In the real world, it works like that. You won't be able to consult Google for a quick answer. A big picture of how each layer of a computer is related to the other, from hardware to software. Write code independently. It's pointless to copy and paste code. Real learning happens when you solve problems on your own. Some examples are given to kick start, but most problems are yours to conquer. However, the solutions are available online for you to examine after giving it a good try. Linux as a development environment and how to use common tools for low-level programming. x86 assembly in-depth. How a program is structured so that an operating system can run. How to debug a program running directly on hardware with gdb an ...
Beginning R 4
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and ...
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data). Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling. Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and ...
Creating Game Environments in Blender 3D
Discover how to create a simple game environment in Blender 3D, from modeling and texturing game assets, to placing them in a scene. You'll export and import game assets as well as look at open-source game engines that will work with your game assets. Creating Game Environments in Blender 3D introduces the power of Blender 3D when creating a low poly game environment. The book starts by discussing the basics of game terminology, such as knowing the difference between low poly and high poly assets and the types of game you're likely to work on. You'll also take a brief look at Blender's background and installation. The following chapters talk about the process for creating a simple game environment. This is discussed in detail along with a sample project. These chapters discuss the common tools for starting a game environment and the methods for enhancing your game environment, such as color fundamentals. The final chapter shows how you can export the game assets you created in Blend ...
Discover how to create a simple game environment in Blender 3D, from modeling and texturing game assets, to placing them in a scene. You'll export and import game assets as well as look at open-source game engines that will work with your game assets. Creating Game Environments in Blender 3D introduces the power of Blender 3D when creating a low poly game environment. The book starts by discussing the basics of game terminology, such as knowing the difference between low poly and high poly assets and the types of game you're likely to work on. You'll also take a brief look at Blender's background and installation. The following chapters talk about the process for creating a simple game environment. This is discussed in detail along with a sample project. These chapters discuss the common tools for starting a game environment and the methods for enhancing your game environment, such as color fundamentals. The final chapter shows how you can export the game assets you created in Blend ...
Options and Derivatives Programming in C++20, 2nd Edition
Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduce ...
Master the features of C++ that are frequently used to write financial software for options and derivatives, including the STL, templates, functional programming, and numerical libraries. This book also covers new features introduced in C++20 and other recent standard releases: modules, concepts, spaceship operators, and smart pointers. You will explore how-to examples covering all the major tools and concepts used to build working solutions for quantitative finance. These include advanced C++ concepts as well as the basic building libraries used by modern C++ developers, such as the STL and Boost, while also leveraging knowledge of object-oriented and template-based programming. Options and Derivatives Programming in C++ provides a great value for readers who are trying to use their current programming knowledge in order to become proficient in the style of programming used in large banks, hedge funds, and other investment institutions. The topics covered in the book are introduce ...
Pro iOS Testing
Discover what tools there are for unit testing in iOS, and how to work in a test-driven environment. This book reveals how testing is a crucial capability in any iOS developer's toolset, and a minimum requirement in iOS interviews. A few years ago, tests on mobile platforms were not very popular. It wasn't a technical constraint, more a cultural one. But these days it's a crucial skill set, especially when projects become big and hard to maintain. This book shows you how to set up a testing target in XCode unit tests. You'll learn how to write unit tests properly and incorporate concepts like spies and mocks and code coverage. You'll also learn the philosophy behind the architecture of UI tests, and how to mock network and DB layers in testing. Write unbreakable UI tests performance tests, as well. And learn the difference between integration tests and snapshot testing. This book will show you how to maintain code that's not only bug-free but will also remain high quality over time ...
Discover what tools there are for unit testing in iOS, and how to work in a test-driven environment. This book reveals how testing is a crucial capability in any iOS developer's toolset, and a minimum requirement in iOS interviews. A few years ago, tests on mobile platforms were not very popular. It wasn't a technical constraint, more a cultural one. But these days it's a crucial skill set, especially when projects become big and hard to maintain. This book shows you how to set up a testing target in XCode unit tests. You'll learn how to write unit tests properly and incorporate concepts like spies and mocks and code coverage. You'll also learn the philosophy behind the architecture of UI tests, and how to mock network and DB layers in testing. Write unbreakable UI tests performance tests, as well. And learn the difference between integration tests and snapshot testing. This book will show you how to maintain code that's not only bug-free but will also remain high quality over time ...
Machine Learning Design Patterns
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 models; Represent data for different ML model types, including embeddings, feature crosses, and more; Choose the right model type for specific problems; Build a robust training ...
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 models; Represent data for different ML model types, including embeddings, feature crosses, and more; Choose the right model type for specific problems; Build a robust training ...