Functional Programming: A PragPub Anthology
Functional programming is on the rise because it lets you write simpler, cleaner code, and its emphasis on immutability makes it ideal for maximizing the benefits of multiple cores and distributed solutions. So far nobody's invented the perfect functional language—each has its unique strengths. In Functional Programming: A PragPub Anthology, you'll investigate the philosophies, tools, and idioms of five different functional programming languages. See how Swift, the development language for iOS, encourages you to build highly scalable apps using functional techniques like map and reduce. Discover how Scala allows you to transition gently but deeply into functional programming without losing the benefits of the JVM, while with Lisp-based Clojure, you can plunge fully into the functional style. Learn about advanced functional concepts in Haskell, a pure functional language making powerful use of the type system with type inference and type classes. And see how functional programming ...
Functional programming is on the rise because it lets you write simpler, cleaner code, and its emphasis on immutability makes it ideal for maximizing the benefits of multiple cores and distributed solutions. So far nobody's invented the perfect functional language—each has its unique strengths. In Functional Programming: A PragPub Anthology, you'll investigate the philosophies, tools, and idioms of five different functional programming languages. See how Swift, the development language for iOS, encourages you to build highly scalable apps using functional techniques like map and reduce. Discover how Scala allows you to transition gently but deeply into functional programming without losing the benefits of the JVM, while with Lisp-based Clojure, you can plunge fully into the functional style. Learn about advanced functional concepts in Haskell, a pure functional language making powerful use of the type system with type inference and type classes. And see how functional programming ...
Decoupling Drupal
Implement a headless/decoupled Drupal design to build easily maintainable web applications. This book begins by showing you CMS workflows and best practices to give you the basics you need for working with decoupled Drupal. As part of this process, Decoupling Drupal reveals the advantages of using content management systems and explains that decoupled Drupal is the answer to various problems faced in creating and maintaining enterprise applications. Decoupling Drupal will show you how administering Drupal monolithically to design web applications can be a challenge. You'll see how the maintainability of your application reduces exponentially over the years. In contrast, a decoupled design enables an easy handshake between the front-end and back-end applications, meaning you can implement services in a short amount of time and scale them quickly. The final part of the book covers the impact of decoupling on functional and non-functional requirements and the use of Drupal 8 module ...
Implement a headless/decoupled Drupal design to build easily maintainable web applications. This book begins by showing you CMS workflows and best practices to give you the basics you need for working with decoupled Drupal. As part of this process, Decoupling Drupal reveals the advantages of using content management systems and explains that decoupled Drupal is the answer to various problems faced in creating and maintaining enterprise applications. Decoupling Drupal will show you how administering Drupal monolithically to design web applications can be a challenge. You'll see how the maintainability of your application reduces exponentially over the years. In contrast, a decoupled design enables an easy handshake between the front-end and back-end applications, meaning you can implement services in a short amount of time and scale them quickly. The final part of the book covers the impact of decoupling on functional and non-functional requirements and the use of Drupal 8 module ...
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 at ...
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 at ...
Learning Web Design, 5th Edition
With the release of HTML5 and browsers that constantly update, HTML is experiencing a renaissance. CSS3 and the recent upgrades to JavaScript have also helped change the way we build striking and useful sites today. If you're new to web design, the thoroughly updated 5th edition of this no-nonsense guide provides everything you need to know to create professional websites. Ideal for beginners seeking a design-centric introduction to HTML and related standards, this practical book helps you: Learn the site development process from start to finish; Create a simple (X)HTML page, including links and images; Explore text formatting, colors and backgrounds, page layout, and more in CSS; Get your pages on the web, with information on hosting, domain names, and FTP. ...
With the release of HTML5 and browsers that constantly update, HTML is experiencing a renaissance. CSS3 and the recent upgrades to JavaScript have also helped change the way we build striking and useful sites today. If you're new to web design, the thoroughly updated 5th edition of this no-nonsense guide provides everything you need to know to create professional websites. Ideal for beginners seeking a design-centric introduction to HTML and related standards, this practical book helps you: Learn the site development process from start to finish; Create a simple (X)HTML page, including links and images; Explore text formatting, colors and backgrounds, page layout, and more in CSS; Get your pages on the web, with information on hosting, domain names, and FTP. ...
Articulating Design Decisions
Talking to people about your designs might seem like a basic skill, but it can be difficult to do efficiently and well. And, in many cases, how you communicate about your work with stakeholders, clients, and other non-designers is more critical than the designs themselves - simply because the most articulate person usually wins. This practical guide focuses on principles, tactics, and actionable methods for presenting your designs. Whether you design UX, websites, or products, you'll learn how to win over anyone who has influence over the project - with the goal of creating the best experience for the end user. Walk through the process of preparing for and presenting your designs; Understand stakeholder perspectives, and learn how to empathize with them; Cultivate both implicit and explicit listening skills; Learn tactics and formulas for expressing the most effective response to feedback; Discover why the way you follow through is just as crucial as the meeting itself; Educate y ...
Talking to people about your designs might seem like a basic skill, but it can be difficult to do efficiently and well. And, in many cases, how you communicate about your work with stakeholders, clients, and other non-designers is more critical than the designs themselves - simply because the most articulate person usually wins. This practical guide focuses on principles, tactics, and actionable methods for presenting your designs. Whether you design UX, websites, or products, you'll learn how to win over anyone who has influence over the project - with the goal of creating the best experience for the end user. Walk through the process of preparing for and presenting your designs; Understand stakeholder perspectives, and learn how to empathize with them; Cultivate both implicit and explicit listening skills; Learn tactics and formulas for expressing the most effective response to feedback; Discover why the way you follow through is just as crucial as the meeting itself; Educate y ...
Assessing and Improving Prediction and Classification
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application. Considerable attention is given to information theory, especially as it relates to discovering and exploiting relationships between variables employed by your models. This presentation of an often confusing subject avoids advanced mathematics, focusing instead on concepts easily understood by those with modest background in mathematics. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widesprea ...
Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building powerful, robust models and quantifying their expected behavior when put to work in your application. Considerable attention is given to information theory, especially as it relates to discovering and exploiting relationships between variables employed by your models. This presentation of an often confusing subject avoids advanced mathematics, focusing instead on concepts easily understood by those with modest background in mathematics. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widesprea ...
Building Embedded Systems
This is a book about developing the software and hardware you never think about. We're talking about the nitty-gritty behind the buttons on your microwave, inside your thermostat, inside the keyboard used to type this description, and even running the monitor on which you are reading it now. Such stuff is termed embedded systems, and this book shows how to design and develop embedded systems at a professional level. Because yes, many people quietly make a successful career doing just that. Building embedded systems can be both fun and intimidating. Putting together an embedded system requires skill sets from multiple engineering disciplines, from software and hardware in particular. Whatever your background is, Building Embedded Systems is the perfect book to fill in any knowledge gaps and get you started in a career programming for everyday devices. Author Changyi Gu brings more than fifteen years of experience in working his way up the ladder in the field of embedded systems. H ...
This is a book about developing the software and hardware you never think about. We're talking about the nitty-gritty behind the buttons on your microwave, inside your thermostat, inside the keyboard used to type this description, and even running the monitor on which you are reading it now. Such stuff is termed embedded systems, and this book shows how to design and develop embedded systems at a professional level. Because yes, many people quietly make a successful career doing just that. Building embedded systems can be both fun and intimidating. Putting together an embedded system requires skill sets from multiple engineering disciplines, from software and hardware in particular. Whatever your background is, Building Embedded Systems is the perfect book to fill in any knowledge gaps and get you started in a career programming for everyday devices. Author Changyi Gu brings more than fifteen years of experience in working his way up the ladder in the field of embedded systems. H ...
Next Generation Databases: NoSQL, NewSQL, and Big Data
This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental arch ...
This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications. The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this "one size fits all" stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the "Big Data" and "NoSQL" revolutions, as well as forcing fundamental changes in databases across the board. Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental arch ...
Practical Hadoop Migration
Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data for usage with the Hadoop ecosystem while considering concurrency, security, denormalization, and optimal performance. Winner of IBM's 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based ...
Re-architect relational applications to NoSQL, integrate relational database management systems with the Hadoop ecosystem, and transform and migrate relational data to and from Hadoop components. This book covers the best-practice design approaches to re-architecting your relational applications and transforming your relational data for usage with the Hadoop ecosystem while considering concurrency, security, denormalization, and optimal performance. Winner of IBM's 2012 Gerstner Award for his implementation of big data and data warehouse initiatives and author of Practical Hadoop Security, author Bhushan Lakhe walks you through the entire transition process. First, he lays out the criteria for deciding what blend of re-architecting, migration, and integration between RDBMS and HDFS best meets your transition objectives. Then he demonstrates how to design your transition model. Hadoop/NoSQL solutions do not offer by default certain relational technology features such as role-based ...
Python Data Analysis Cookbook
Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral an ...
Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral an ...