Gray Hat C#
Learn to use C#'s powerful set of core libraries to automate tedious yet important tasks like fuzzing, performing vulnerability scans, and analyzing malware. With some help from Mono, you'll write your own practical security tools that will run on Windows, OS X, Linux, and even mobile devices. After a crash course in C# and some of its advanced features, you'll learn how to: Generate shellcode in Metasploit to create cross-platform and cross-architecture payloads; Automate Nessus, OpenVAS, and sqlmap to scan for vulnerabilities and exploit SQL injections; Write a .NET decompiler for OS X and Linux; Parse and read offline registry hives to dump system information; Automate the security tools Arachni and Metasploit using their MSGPACK RPCs. Streamline and simplify your workday by making the most of C#'s extensive repertoire of powerful tools and libraries with Gray Hat C#. ...
Learn to use C#'s powerful set of core libraries to automate tedious yet important tasks like fuzzing, performing vulnerability scans, and analyzing malware. With some help from Mono, you'll write your own practical security tools that will run on Windows, OS X, Linux, and even mobile devices. After a crash course in C# and some of its advanced features, you'll learn how to: Generate shellcode in Metasploit to create cross-platform and cross-architecture payloads; Automate Nessus, OpenVAS, and sqlmap to scan for vulnerabilities and exploit SQL injections; Write a .NET decompiler for OS X and Linux; Parse and read offline registry hives to dump system information; Automate the security tools Arachni and Metasploit using their MSGPACK RPCs. Streamline and simplify your workday by making the most of C#'s extensive repertoire of powerful tools and libraries with Gray Hat C#. ...
The Hardware Hacker
For over a decade, Andrew "bunnie" Huang, one of the world's most esteemed hackers, has shaped the fields of hacking and hardware, from his cult-classic book Hacking the Xbox to the open-source laptop Novena and his mentorship of various hardware startups and developers. In The Hardware Hacker, Huang shares his experiences in manufacturing and open hardware, creating an illuminating and compelling career retrospective. Huang's journey starts with his first visit to the staggering electronics markets in Shenzhen, with booths overflowing with capacitors, memory chips, voltmeters, and possibility. He shares how he navigated the overwhelming world of Chinese factories to bring chumby, Novena, and Chibitronics to life, covering everything from creating a Bill of Materials to choosing the factory to best fit his needs. Through this collection of personal essays and interviews on topics ranging from the legality of reverse engineering to a comparison of intellectual property practices b ...
For over a decade, Andrew "bunnie" Huang, one of the world's most esteemed hackers, has shaped the fields of hacking and hardware, from his cult-classic book Hacking the Xbox to the open-source laptop Novena and his mentorship of various hardware startups and developers. In The Hardware Hacker, Huang shares his experiences in manufacturing and open hardware, creating an illuminating and compelling career retrospective. Huang's journey starts with his first visit to the staggering electronics markets in Shenzhen, with booths overflowing with capacitors, memory chips, voltmeters, and possibility. He shares how he navigated the overwhelming world of Chinese factories to bring chumby, Novena, and Chibitronics to life, covering everything from creating a Bill of Materials to choosing the factory to best fit his needs. Through this collection of personal essays and interviews on topics ranging from the legality of reverse engineering to a comparison of intellectual property practices b ...
Think Data Structures
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
If you're a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering - data structures and algorithms - in a way that's clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You'll explore the important classes in the Java collections framework (JCF), how they're implemented, and how they're expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work; Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree; Analyze code to predict how fast it will run and how much memory it will ...
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets; Use scikit-learn to track an example machine-learning project end-to-end; Explore several training models, including support vector machines, deci ...
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets; Use scikit-learn to track an example machine-learning project end-to-end; Explore several training models, including support vector machines, deci ...
Building Probabilistic Graphical Models with Python
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
With the increasing prominence in machine learning and data science applications, probabilistic graphical models are a new tool that machine learning users can use to discover and analyze structures in complex problems. The variety of tools and algorithms under the PGM framework extend to many domains such as natural language processing, speech processing, image processing, and disease diagnosis. You've probably heard of graphical models before, and you're keen to try out new landscapes in the machine learning area. This book gives you enough background information to get started on graphical models, while keeping the math to a minimum. ...
Mastering Probabilistic Graphical Models Using Python
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
Probabilistic graphical models is a technique in machine learning that uses the concepts of graph theory to concisely represent and optimally predict values in our data problems. Graphical models gives us techniques to find complex patterns in the data and are widely used in the field of speech recognition, information extraction, image segmentation, and modeling gene regulatory networks. This book starts with the basics of probability theory and graph theory, then goes on to discuss various models and inference algorithms. All the different types of models are discussed along with code examples to create and modify them, and also run different inference algorithms on them. There is an entire chapter that goes on to cover Naive Bayes model and Hidden Markov models. These models have been thoroughly discussed using real-world examples. ...
iOS 7 in Action
To develop great apps you need a deep knowledge of iOS. You also need a finely tuned sense of what motivates 500 million loyal iPhone and iPad users. iOS 7 introduces many new visual changes, as well as better multitasking, dynamic motion effects, and much more. This book helps you use those features in apps that will delight your users. iOS 7 in Action is a hands-on guide that teaches you to create amazing native iOS apps. In it, you'll explore thoroughly explained examples that you can expand and reuse. If this is your first foray into mobile development, you'll get the skills you need to go from idea to app store. If you're already creating iOS apps, you'll pick up new techniques to hone your craft, and learn how to capitalize on new iOS 7 features. ...
To develop great apps you need a deep knowledge of iOS. You also need a finely tuned sense of what motivates 500 million loyal iPhone and iPad users. iOS 7 introduces many new visual changes, as well as better multitasking, dynamic motion effects, and much more. This book helps you use those features in apps that will delight your users. iOS 7 in Action is a hands-on guide that teaches you to create amazing native iOS apps. In it, you'll explore thoroughly explained examples that you can expand and reuse. If this is your first foray into mobile development, you'll get the skills you need to go from idea to app store. If you're already creating iOS apps, you'll pick up new techniques to hone your craft, and learn how to capitalize on new iOS 7 features. ...
Plug-In PHP: 100 Power Solutions
This practical guide gives you 100 ready-to-run PHP functions for solving most of the main problems you encounter when building a dynamic website with PHP. Every plug-in in the book offers a complete and working solution for a result you can achieve right away, using ready-made code you simply drop into your own program. And there's little or no learning curve, because each one is self-contained and thoroughly documented. ...
This practical guide gives you 100 ready-to-run PHP functions for solving most of the main problems you encounter when building a dynamic website with PHP. Every plug-in in the book offers a complete and working solution for a result you can achieve right away, using ready-made code you simply drop into your own program. And there's little or no learning curve, because each one is self-contained and thoroughly documented. ...
Development with the Force.com Platform, 2nd Edition
Using Force.com, you can build enterprise applications with world-class value, scalability, and reliability - and do it in days or weeks, not months or years. In this book, top Force.com developer Jason Ouellette offers all the technical guidance and sample code you'll need to get outstanding results with the newest version of Force.com. Drawing on his experience building three of the world's top ten Force.com applications, Jason Ouellette walks you through the entire project lifecycle, from identifying potential applications to prototyping, coding, and deployment. Throughout, he offers practical insights you won't find in Salesforce.com's documentation - or anywhere else. ...
Using Force.com, you can build enterprise applications with world-class value, scalability, and reliability - and do it in days or weeks, not months or years. In this book, top Force.com developer Jason Ouellette offers all the technical guidance and sample code you'll need to get outstanding results with the newest version of Force.com. Drawing on his experience building three of the world's top ten Force.com applications, Jason Ouellette walks you through the entire project lifecycle, from identifying potential applications to prototyping, coding, and deployment. Throughout, he offers practical insights you won't find in Salesforce.com's documentation - or anywhere else. ...
Anti-Money Laundering in a Nutshell
Anti–Money Laundering in a Nutshellis a concise, accessible, and practical guide to compliance with anti–money laundering law for financial professionals, corporate investigators, business managers, and all personnel of financial institutions who are required, under penalty of hefty fines, to get anti–money laundering training. Money laundering is endemic. As much as 5 percent of global GDP ($3.6 trillion) is laundered by criminals each year. It's no wonder that every financial institution in the United States—including banks, credit card companies, insurers, securities brokerages, private funds, and money service businesses—must comply with complex examination, training, and reporting requirements mandated by a welter of federal anti–money laundering (AML) laws. Ignorance of crime is no excuse before the law. Financial institutions and businesses that unknowingly serve as conduits for money laundering are no less liable to prosecution and fines than those that condone o ...
Anti–Money Laundering in a Nutshellis a concise, accessible, and practical guide to compliance with anti–money laundering law for financial professionals, corporate investigators, business managers, and all personnel of financial institutions who are required, under penalty of hefty fines, to get anti–money laundering training. Money laundering is endemic. As much as 5 percent of global GDP ($3.6 trillion) is laundered by criminals each year. It's no wonder that every financial institution in the United States—including banks, credit card companies, insurers, securities brokerages, private funds, and money service businesses—must comply with complex examination, training, and reporting requirements mandated by a welter of federal anti–money laundering (AML) laws. Ignorance of crime is no excuse before the law. Financial institutions and businesses that unknowingly serve as conduits for money laundering are no less liable to prosecution and fines than those that condone o ...