Over 120 recipes to perform advanced penetration testing with Kali Linux About This Book ? Practical recipes to conduct effective penetration testing using the powerful Kali Linux ? Leverage tools like Metasploit, Wireshark, Nmap, and many more to detect vulnerabilities with ease ? Confidently perform networking and application attacks using task-oriented recipes Who This Book Is For This book is aimed at IT security professionals, pentesters, and security analysts who have basic knowledge of Kali Linux and want to conduct advanced penetration testing techniques. What You Will Learn ? Installing, setting up and customizing Kali for pentesting on multiple platforms ? Pentesting routers and embedded devices ? Bug hunting 2017 ? Pwning and escalating through corporate network ? Buffer over?ows 101 ? Auditing wireless networks ? Fiddling around with software-defned radio ? Hacking on the run with NetHunter ? Writing good quality reports In Detail With the current rate of hacking, it is very important to pentest your environment in order to ensure advanced-level security. This book is packed with practical recipes that will quickly get you started with Kali Linux (version 2016.2) according to your needs, and move on to core functionalities. This book will start with the installation and configuration of Kali Linux so that you can perform your tests. You will learn how to plan attack strategies and perform web application exploitation using tools such as Burp, and Jexboss. You will also learn how to perform network exploitation using Metasploit, Sparta, and Wireshark. Next, you will perform wireless and password attacks using tools such as Patator, John the Ripper, and airo*-ng. Lastly, you will learn how to create an optimum quality pentest report! By the end of this book, you will know how to conduct advanced penetration testing thanks to the book’s crisp and task-oriented recipes. Style and approach This is a recipe-based book that allows you to venture into some of the most cutting-edge practices and techniques to perform penetration testing with Kali Linux.

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book ? Learn about the various challenges in real-time data processing and use the right tools to overcome them ? This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems ? A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time Who This Book Is For If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great. What You Will Learn ? Get an introduction to the established real-time stack ? Understand the key integration of all the components ? Get a thorough understanding of the basic building blocks for real-time solution designing ? Garnish the search and visualization aspects for your real-time solution ? Get conceptually and practically acquainted with real-time analytics ? Be well equipped to apply the knowledge and create your own solutions In Detail With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you’ll be equipped with a clear understanding of how to solve challenges on your own. We’ll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You’ll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner. Style and Approach In this practical guide to real-time analytics, each chapter begins with a basic high-level concept of the topic, followed by a practical, hands-on implementation of each concept, where you can see the working and execution of it. The book is written in a DIY style, with plenty of practical use cases, well-explained code examples, and relevant screenshots and diagrams.

This book shows JavaScript developers how to build highly dependable JavaScript projects using the Immutable.js framework. About This Book ? Master the Immutable.js JavaScript framework ? Build predictable and dependable applications using immutability ? Control how data flows through your application ? Control the effects of data flow in your user interface using Node.js Who This Book Is For This book is for JavaScript developers, from intermediate level and beyond, who need to create dependable JavaScript projects, using the Immutable.js JavaScript framework. What You Will Learn ? Learn how Immutable.js can improve the dependability of your JavaScript code ? Discover how to create Immutable data, and work with persistent changes ? See how to combine and filter collections, and find items ? Learn how to work with sequences and side effects ? Sort collections, maps, and sets ? Get to know tricks to avoid processing chains ? Compare and move between lists, sets, and maps ? Work with Immutable patterns and Immutable architecture In Detail Immutable.js is a JavaScript library that will improve the robustness and dependability of your larger JavaScript projects. All aspects of the Immutable.js framework are covered in this book, and common JavaScript situations are examined in a hands-on way so that you gain practical experience using Immutable.js that you can apply across your own JavaScript projects. The key to building robust JavaScript applications using immutability is to control how data flows through your application, and how the side-effects of these flows are managed. Many problems that are difficult to pinpoint in large codebases stem from data that’s been mutated where it shouldn’t have been. With immutable data, you rule out an entire class of bugs. Mastering Immutable.js takes a practical, hands-on approach throughout, and shows you the ins and outs of the Immutable.js framework so that you can confidently build successful and dependable JavaScript projects. Style and Approach Adam Boduch covers all the key concepts and benefits of immutability, and then presents you with hands-on practical experience on implementing immutability in your JavaScript projects.

Over 50 recipes to create full-stack high-performance web applications using pure JavaScript and the MEAN stack. About This Book ? Architect a fully functional stand-alone web application, including the web server, database, and front-end web application ? Improve the performance and maintainability of your MEAN stack application with tips for configuration and optimization ? Highlights MEAN Stack best practices when working with your application Who This Book Is For If you are a JavaScript developer who wants to create high-performing, modern web applications with the MEAN stack, this is the book for you. Web developers familiar with some parts of the MEAN stack will find this a comprehensive guide to fleshing out the other technologies and skills they need to build all JavaScript web applications. Developers interested in transitioning from other web application stacks to an all-JavaScript environment will find a wealth of information about how to work in a MEAN stack environment. To get the most from this book, you should have a general understanding of web servers and web applications. You are expected to have a basic understanding of running JavaScript, both in a web browser and outside it, using Node.js and the NPM package manager. What You Will Learn ? Bootstrap a new MEAN stack web application using Node.js and Express ? Build a single-page application (SPA) with Angular and Angular-CLI ? Improve browser performance by optimizing your web application resources using Webpack ? Model complex JSON object relationships in MongoDB using Mongoose ? Debug all the layers of a MEAN stack application, including working with source maps ? Build Restful APIs using Express.js and JSON Web Token (JWT) for user authentication ? Use automated testing to improve the reliability and quality of your MEAN stack application In Detail The MEAN Stack is a framework for web application development using JavaScript-based technologies; MongoDB, Express, Angular, and Node.js. If you want to expand your understanding of using JavaScript to produce a fully functional standalone web application, including the web server, user interface, and database, then this book can help guide you through that transition. This book begins by configuring the frontend of the MEAN stack web application using the Angular JavaScript framework. We then implement common user interface enhancements before moving on to configuring the server layer of our MEAN stack web application using Express for our backend APIs. You will learn to configure the database layer of your MEAN stack web application using MongoDB and the Mongoose framework, including modeling relationships between documents. You will explore advanced topics such as optimizing your web application using WebPack as well as the use of automated testing with the Mocha and Chai frameworks. By the end of the book, you should have acquired a level of proficiency that allows you to confidently build a full production-ready and scalable MEAN stack application. Style and Approach This book is a guide of MEAN Stack specific solutions to common web application problems and includes in-depth guides for each layer of the application stack. Readers looking to upgrade their MEAN Stack web application will find recipes within to help them transition.

Learn how to combine Bootstrap with Vue.js to build responsive web applications. About This Book ? Build applications with a good architecture and clean UI with Vue.js and Bootstrap ? Understand Bootstrap components and learn to integrate them with the Vue.js structure ? Build, deploy, and test your code with various utility tools provided by Vue.js Who This Book Is For This book is for JavaScript programmers who are new to web frameworks and want to start learning it by developing interactive and responsive web applications. What You Will Learn ? Create and build web applications using Vue.js, Webpack, and Nuxt.js ? Combine Bootstrap components with Vue.js' power to enrich your web applications with reusable elements ? Connect the Vuex state management architecture to the Firebase cloud backend to persist and manage application data ? Explore the new grid system of Bootstrap 4 along with the far simpler directives in Vue.js ? Test Vue applications using Jest ? Authenticate your application using Bootstrap's forms, Vue.js' reactivity, and Firebase's authentication API ? Deploy your application using Firebase, which provides Backend as a Service In Detail In this book, we will build a full stack web application right from scratch up to its deployment. We will start by building a small introduction application and then proceed to the creation of a fully functional, dynamic responsive web application called ProFitOro. In this application, we will build a Pomodoro timer combined with office workouts. Besides the Pomodoro timer and ProFitOro workouts will enable authentication and collaborative content management. We will explore topics such as Vue reactive data binding, reusable components, routing, and Vuex store along with its state, actions, mutations, and getters. We will create Vue applications using both webpack and Nuxt.js templates while exploring cool hot Nuxt.js features such as code splitting and server-side rendering. We will use Jest to test this application, and we will even revive some trigonometry from our secondary school! While developing the app, you will go through the new grid system of Bootstrap 4 along with Vue.js’ directives. We will connect Vuex store to the Firebase real-time database, data storage, and authentication APIs and use this data later inside the application’s reactive components. Finally, we will quickly deploy our application using the Firebase hosting mechanism. Style and Approach Step-by-step tutorial

Step by Step guide filled with real world practical examples. About This Book ? Get your first experience with data analysis with one of the most powerful types of analysis—time-series. ? Find patterns in your data and predict the future pattern based on historical data. ? Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide Who This Book Is For This book is for anyone who wants to analyze data over time and/or frequency. A statistical background is necessary to quickly learn the analysis methods. What You Will Learn ? Understand the basic concepts of Time Series Analysis and appreciate its importance for the success of a data science project ? Develop an understanding of loading, exploring, and visualizing time-series data ? Explore auto-correlation and gain knowledge of statistical techniques to deal with non-stationarity time series ? Take advantage of exponential smoothing to tackle noise in time series data ? Learn how to use auto-regressive models to make predictions using time-series data ? Build predictive models on time series using techniques based on auto-regressive moving averages ? Discover recent advancements in deep learning to build accurate forecasting models for time series ? Gain familiarity with the basics of Python as a powerful yet simple to write programming language In Detail Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies between the observations. This book describes special mathematical tricks and techniques which are geared towards exploring the internal structures of time series data and generating powerful de*ive and predictive insights. Also, the book is full of real-life examples of time series and their analyses using cutting-edge solutions developed in Python. The book starts with de*ive analysis to create insightful visualizations of internal structures such as trend, seasonality and autocorrelation. Next, the statistical methods of dealing with autocorrelation and non-stationary time series are described. This is followed by exponential smoothing to produce meaningful insights from noisy time series data. At this point, we shift focus towards predictive analysis and introduce autoregressive models such as ARMA and ARIMA for time series forecasting. Later, powerful deep learning methods are presented, to develop accurate forecasting models for complex time series, and under the availability of little domain knowledge. All the topics are illustrated with real-life problem scenarios and their solutions by best-practice implementations in Python. The book concludes with the Appendix, with a brief discussion of programming and solving data science problems using Python. Style and approach This book takes the readers from the basic to advance level of Time series analysis in a very practical and real world use cases.

Your one-stop guide to building an efficient data science pipeline using Jupyter About This Book ? Get the most out of your Jupyter notebook to complete the trickiest of tasks in Data Science ? Learn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using Jupyter ? Get ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guide Who This Book Is For This book targets students and professionals who wish to master the use of Jupyter to perform a variety of data science tasks. Some programming experience with R or Python, and some basic understanding of Jupyter, is all you need to get started with this book. What You Will Learn ? Understand why Jupyter notebooks are a perfect fit for your data science tasks ? Perform scientific computing and data analysis tasks with Jupyter ? Interpret and explore different kinds of data visually with charts, histograms, and more ? Extend SQL's capabilities with Jupyter notebooks ? Combine the power of R and Python 3 with Jupyter to create dynamic notebooks ? Create interactive dashboards and dynamic presentations ? Master the best coding practices and deploy your Jupyter notebooks efficiently In Detail Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully. Style and approach This book is a perfect blend of concepts and practical examples, written in a way that is very easy to understand and implement. It follows a logical flow where you will be able to build on your understanding of the different Jupyter features with every chapter.

Learn to develop customized device drivers for your embedded Linux system About This Book ? Learn to develop customized Linux device drivers ? Learn the core concepts of device drivers such as memory management, kernel caching, advanced IRQ management, and so on. ? Practical experience on the embedded side of Linux Who This Book Is For This book will help anyone who wants to get started with developing their own Linux device drivers for embedded systems. Embedded Linux users will benefit highly from this book. This book covers all about device driver development, from char drivers to network device drivers to memory management. What You Will Learn ? Use kernel facilities to develop powerful drivers ? Develop drivers for widely used I2C and SPI devices and use the regmap API ? Write and support devicetree from within your drivers ? Program advanced drivers for network and frame buffer devices ? Delve into the Linux irqdomain API and write interrupt controller drivers ? Enhance your skills with regulator and PWM frameworks ? Develop measurement system drivers with IIO framework ? Get the best from memory management and the DMA subsystem ? Access and manage GPIO subsystems and develop GPIO controller drivers In Detail Linux kernel is a complex, portable, modular and widely used piece of software, running on around 80% of servers and embedded systems in more than half of devices throughout the World. Device drivers play a critical role in how well a Linux system performs. As Linux has turned out to be one of the most popular operating systems used, the interest in developing proprietary device drivers is also increasing steadily. This book will initially help you understand the basics of drivers as well as prepare for the long journey through the Linux Kernel. This book then covers drivers development based on various Linux subsystems such as memory management, PWM, RTC, IIO, IRQ management, and so on. The book also offers a practical approach on direct memory access and network device drivers. By the end of this book, you will be comfortable with the concept of device driver development and will be in a position to write any device driver from scratch using the latest kernel version (v4.13 at the time of writing this book). Style and approach A set of engaging examples to develop Linux device drivers

This step-by-step guide will teach you how to use GeoServer to build custom and interactive maps using your data. About This Book ? Exploit the power of GeoServer to provide agile, flexible, and low -cost community projects ? Share real-time maps quickly ? Boost your map server's performance using the power and flexibility of GeoServer Who This Book Is For If you are a web developer with knowledge of server side *ing, have experience in installing applications on the server, and want to go beyond Google Maps by offering dynamically built maps on your site with your latest geospatial data stored in MySQL, PostGIS, MySQL, or Oracle, this is the book for you. What You Will Learn ? Install GeoServer quickly ? Access dynamic real-time geospatial data that you can easily integrate into your own web-based application ? Create custom styles for lines, points, and polygons for great-looking maps ? Command GeoServer remotely using REST ? Tune your GeoServer instance for performance ? Move GeoServer into production ? Learn advanced topics to extend GeoServer's capabilities In Detail GeoServer is an opensource server written in Java that allows users to share, process, and edit geospatial data. This book will guide you through the new features and improvements of GeoServer and will help you get started with it. GeoServer Beginner's Guide gives you the impetus to build custom maps using your data without the need for costly commercial software licenses and restrictions. Even if you do not have prior GIS knowledge, you will be able to make interactive maps after reading this book. You will install GeoServer, access your data from a database, and apply style points, lines, polygons, and labels to impress site visitors with real-time maps. Then you follow a step-by-step guide that installs GeoServer in minutes. You will explore the web-based administrative interface to connect to backend data stores such as PostGIS, and Oracle. Going ahead, you can display your data on web-based interactive maps, use style lines, points, polygons, and embed images to visualize this data for your web visitors. You will walk away from this book with a working application ready for production. After reading GeoServer Beginner's Guide, you will be able to build beautiful custom maps on your website using your geospatial data. Style and approach Step-by-step instructions are included and the needs of a beginner are totally satisfied by the book. The book consists of plenty of examples with accompanying screenshots and code for an easy learning curve.

Uncover the power of MySQL 8 for Big Data About This Book ? Combine the powers of MySQL and Hadoop to build a solid Big Data solution for your organization ? Integrate MySQL with different NoSQL APIs and Big Data tools such as Apache Sqoop ? A comprehensive guide with practical examples on building a high performance Big Data pipeline with MySQL Who This Book Is For This book is intended for MySQL database administrators and Big Data professionals looking to integrate MySQL 8 and Hadoop to implement a high performance Big Data solution. Some previous experience with MySQL will be helpful, although the book will highlight the newer features introduced in MySQL 8. What You Will Learn ? Explore the features of MySQL 8 and how they can be leveraged to handle Big Data ? Unlock the new features of MySQL 8 for managing structured and unstructured Big Data ? Integrate MySQL 8 and Hadoop for efficient data processing ? Perform aggregation using MySQL 8 for optimum data utilization ? Explore different kinds of join and union in MySQL 8 to process Big Data efficiently ? Accelerate Big Data processing with Memcached ? Integrate MySQL with the NoSQL API ? Implement replication to build highly available solutions for Big Data In Detail With organizations handling large amounts of data on a regular basis, MySQL has become a popular solution to handle this structured Big Data. In this book, you will see how DBAs can use MySQL 8 to handle billions of records, and load and retrieve data with performance comparable or superior to commercial DB solutions with higher costs. Many organizations today depend on MySQL for their websites and a Big Data solution for their data archiving, storage, and analysis needs. However, integrating them can be challenging. This book will show you how to implement a successful Big Data strategy with Apache Hadoop and MySQL 8. It will cover real-time use case scenario to explain integration and achieve Big Data solutions using technologies such as Apache Hadoop, Apache Sqoop, and MySQL Applier. Also, the book includes case studies on Apache Sqoop and real-time event processing. By the end of this book, you will know how to efficiently use MySQL 8 to manage data for your Big Data applications. Style and approach Step by Step guide filled with real-world practical examples.

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This Book ? Apply R to simplify predictive modeling with short and simple code ? Use machine learning to solve problems ranging from small to big data ? Build a training and testing dataset, applying different classification methods. Who This Book Is For This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful. What You Will Learn ? Create and inspect transaction datasets and perform association analysis with the Apriori algorithm ? Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm ? Compare differences between each regression method to discover how they solve problems ? Detect and impute missing values in air quality data ? Predict possible churn users with the classification approach ? Plot the autocorrelation function with time series analysis ? Use the Cox proportional hazards model for survival analysis ? Implement the clustering method to segment customer data ? Compress images with the dimension reduction method ? Incorporate R and Hadoop to solve machine learning problems on big data In Detail Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier. Style and approach This is an easy-to-follow guide packed with hands-on examples of machine learning tasks. Each topic includes step-by-step instructions on tackling difficulties faced when applying R to machine learning.

Manage, fine-tune, secure and deploy your MongoDB solution with ease with the help of practical recipes About This Book ? Configure and deploy your MongoDB instance securely, without any hassle ? Optimize your database's query performance, perform scale-out operations, and make your database highly available ? Practical guide with a recipe-based approach to help you tackle any problem in the application and database administration aspects of MongoDB Who This Book Is For Database administrators with a basic understanding of the features of MongoDB and who want to professionally configure, deploy, and administer a MongoDB database, will find this book essential. If you are a MongoDB developer and want to get into MongoDB administration, this book will also help you. What You Will Learn ? Install and deploy MongoDB in production ? Manage and implement optimal indexes ? Optimize monitoring in MongoDB ? Fine-tune the performance of your queries ? Debug and diagnose your database's performance ? Optimize database backups and recovery and ensure high availability ? Make your MongoDB instance scalable ? Implement security and user authentication features in MongoDB ? Master optimal cloud deployment strategies In Detail MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution. Style and approach This practical book follows a problem-solution approach to help you tackle any issues encountered while performing MongoDB administrative tasks. Each recipe is detailed, and explained in a very easy to understand manner

Discover the best way to build, design and launch professional websites with Squarespace quickly, without needing to learn any code About This Book ? Discover time-saving tricks and best practices, and avoid common pitfalls while creating a website ? Create visually stunning Responsive Design templates for your website with Squarespace 7 ? Understand how to monitor, measure, and manage your website after launching it Who This Book Is For This book is ideal for anyone who wants to learn how to use the latest version of Squarespace to create a website from scratch and take it through to go-live. You don't need any prior experience with Squarespace, HTML, or CSS, or building websites in general as everything is done using Squarespace's simple, browser-based interface. What You Will Learn ? Develop an essential Website Toolkit that will act as reference and materials for your entire project, ensuring you stay on-target to meet your objectives ? Set up your Squarespace account, learn how the interface works, and select the correct template for your website's purpose and goals ? Create your website framework, fill it with content, and arrange your pages using Squarespace's easy drag-and-drop tools ? Customize your site's look and feel to match your brand, and create a stunning visual impact for your website on all types of devices, including mobiles and tablets ? Configure the core functions your business needs, whether connecting to social media, promoting events, showcasing your work, or selling goods and services online ? Learn time-saving tricks and how to avoid common pitfalls from an experienced professional with years of Squarespace experience ? Gain valuable insights about search engine optimization, communicating effectively online, and other e-marketing advice ? How to monitor, measure, and manage your website post-launch In Detail Squarespace is a web-based tool that allows non-technical people to create and manage professional-looking websites quickly, without needing to write any code. It empowers business owners to take total control of their own websites, without needing to pay someone to design or maintain it. This book covers much more than just how to use Squarespace. It covers all aspects of creating a successful business website, from developing your brand identity, to writing and structuring content to match your target audience's needs, and dozens of other other valuable tips that will help your website shine. Most importantly, you'll learn the correct steps to follow in order to ensure your project is smooth and stress-free. The book starts by helping you plan your website project and gather all the raw materials you'll need. Next, you'll set up your account and become familiar with the terminology and tools that you'll be using. Once you've learned the basics of how the Squarespace interface, templates, and different page types operate, you will create the framework of your website, ready for you to insert content and functionality. Then, once all the core elements are in place, you'll apply the aesthetic fine-tuning needed to bring your website in line with your brand. After the aesthetics have been honed and all functions tested, you will launch your website and drive traffic to it, monitor it, and improve it. Style and approach This easy-to-follow guide will teach you to build websites the easiest way in the latest version of Squarespace.

Create engaging user experiences and awesome user interfaces using this guide About This Book ? Move beyond default UI templates, create and customize amazing UIs with Android Custom View ? Enable smooth data flow and create futuristic UIs by creating flexible custom views ? Scale your apps with responsive and data intensive views Who This Book Is For This book is for Android developers who want to create great user interfaces and move beyond the basics of the standard UI elements. They must have basic Android development knowledge along with basic Java programming. What You Will Learn ? Extend the standard UI widget framework by creating Custom views ? Add complex rendering, animations, and interactions to your views ? Optimize performance and decrease battery usage ? Implement custom views to share between multiple projects, or share it publicly ? Create 3D custom views using OpenGL ES In Detail To build great user interfaces for your Android apps that go beyond the standard UI elements, you need to use custom Android views. With these, you can give your app a distinctive look and ensure that it functions properly across multiple devices. This book will help you construct a great UI for your apps by teaching you how to create custom Android views. You will start by creating your first Android custom view and go through the design considerations. You will then see how the right choices will enable your custom view to perform seamlessly across multiple platforms and Android versions. You will create custom styleable attributes that work with Android XML layouts, learn to process touch events, define custom attributes, and add properties and events to them. By the end of this book, you will be able to create apps with custom views that are responsive and adaptable to make your app distinctive and an instant hit with its users. Style and approach The approach will be that of a step by step practical tutorial. The book will take you through a complete journey, right from creating your first Android view to customizing it to enable it to support any complex app.

Solve different problems in modelling deep neural networks using Python, Tensorflow, and Keras with this practical guide About This Book ? Practical recipes on training different neural network models and tuning them for optimal performance ? Use Python frameworks like TensorFlow, Caffe, Keras, Theano for Natural Language Processing, Computer Vision, and more ? A hands-on guide covering the common as well as the not so common problems in deep learning using Python Who This Book Is For This book is intended for machine learning professionals who are looking to use deep learning algorithms to create real-world applications using Python. Thorough understanding of the machine learning concepts and Python libraries such as NumPy, SciPy and scikit-learn is expected. Additionally, basic knowledge in linear algebra and calculus is desired. What You Will Learn ? Implement different neural network models in Python ? Select the best Python framework for deep learning such as PyTorch, Tensorflow, MXNet and Keras ? Apply tips and tricks related to neural networks internals, to boost learning performances ? Consolidate machine learning principles and apply them in the deep learning field ? Reuse and adapt Python code snippets to everyday problems ? Evaluate the cost/benefits and performance implication of each discussed solution In Detail Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics. The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios. Style and approach Unique blend of independent recipes arranged in the most logical manner

Master the art of automating and managing your environment using PowerShell About This Book ? Find quick solutions to automate your environment with ease ? Work with large amounts of data effortlessly with PowerShell data types and secure them ? Packed with real-world examples to automate and simplify the management of your Windows environment Who This Book Is For If you are a system administrator who wants to become an expert in controlling and automating your Windows environment, then this book is for you. It is also for those new to the PowerShell language. What You Will Learn ? Optimize code through the use of functions, switches, and looping structures ? Install PowerShell on your Linux system ? Utilize variables, hashes, and arrays to store data ? Work with Objects and Operators to test and manipulate data ? Parse and manipulate different data types ? Write .NET classes with ease within the PowerShell ? Create and implement regular expressions in PowerShell *s ? Deploy applications and code with PowerShell’s Package management modules ? Leverage session-based remote management ? Manage files, folders, and registries through the use of PowerShell In Detail PowerShell *s offer a handy way to automate various chores. Working with these *s effectively can be a difficult task. This comprehensive guide starts from scratch and covers advanced-level topics to make you a PowerShell expert. The first module, PowerShell Fundamentals, begins with new features, installing PowerShell on Linux, working with parameters and objects, and also how you can work with .NET classes from within PowerShell. In the next module, you’ll see how to efficiently manage large amounts of data and interact with other services using PowerShell. You’ll be able to make the most of PowerShell’s powerful automation feature, where you will have different methods to parse and manipulate data, regular expressions, and WMI. After automation, you will enter the Extending PowerShell module, which covers topics such as asynchronous processing and, creating modules. The final step is to secure your PowerShell, so you will land in the last module, Securing and Debugging PowerShell, which covers PowerShell execution policies, error handling techniques, and testing. By the end of the book, you will be an expert in using the PowerShell language. Style and approach This practical guide covers all the advanced PowerShell functionalities that an administrator needs to learn to automate their environments.

Master realistic animations and graphics, particle systems, game AI and physics, sprites and VR development with Unity 2017 About This Book ? Create professional grade games with realistic animation and graphics, particle systems and game physics with Unity 2017 ? Unleash the power of C# *ing to create intelligent game AI and professional grade game workflows. ? Create immersive VR games using the latest Unity 2017 VR SDK. Who This Book Is For If you are a Unity developer who now wants to develop and deploy interesting games by leveraging the new features of Unity 2017, then this is the book for you. Basic knowledge of C# programming is assumed. What You Will Learn ? Explore hands-on tasks and real-world scenarios to make a Unity horror adventure game ? Create enemy characters that act intelligently and make reasoned decisions ? Use data files to save and restore game data in a way that is platform-agnostic ? Get started with VR development ? Use navigation meshes, occlusion culling, and Profiler tools ? Work confidently with GameObjects, rotations, and transformations ? Understand specific gameplay features such as AI enemies, inventory systems, and level design In Detail Do you want to make the leap from being an everyday Unity developer to being a pro game developer? Then look no further! This book is your one-stop solution to creating mesmerizing games with lifelike features and amazing gameplay. This book focuses in some detail on a practical project with Unity, building a first-person game with many features. You'll delve into the architecture of a Unity game, creating expansive worlds, interesting render effects, and other features to make your games special. You will create individual game components, use efficient animation techniques, and implement collision and physics effectively. Specifically, we'll explore optimal techniques for importing game assets, such as meshes and textures; tips and tricks for effective level design; how to animate and * NPCs; how to configure and deploy to mobile devices; how to prepare for VR development; how to work with version control; and more. By the end of this book, you'll have developed sufficient competency in Unity development to produce fun games with confidence. Style and approach This book takes an easy-to-follow, step-by-step tutorial approach. You will create an advanced level Unity game with an emphasis on leveraging advanced Unity 2017 features while developing the game in its entirety.

Getting started with the processes and the tools to continuously deliver high-quality software About This Book ? Incorporate popular development practices to prevent messy code ? Automate your build, integration, release, and deployment processes with Jenkins, Git, and Gulp―and learn how continuous integration (CI) can save you time and money ? Gain an end-to-end overview of Continuous Integration using different languages (JavaScript and C#) and tools (Gulp and Jenkins) Who This Book Is For This book is for developers who want to understand and implement Continuous Integration and Delivery in their daily work. A basic knowledge of at least JavaScript and HTML/CSS is required. Knowing C# and SQL will come in handy. Most programmers who have programmed in a (compiled) C-like language will be able to follow along. What You Will Learn ? Get to know all the aspects of Continuous Integration, Deployment, and Delivery ? Find out how Git can be used in a CI environment ? Set up browser tests using Karma and Selenium and unit tests using Jasmine ? Use Node.js, npm, and Gulp to automate tasks such as linting, testing, and minification ? Explore different Jenkins jobs to integrate with Node.js and C# projects ? Perform Continuous Delivery and Deployment using Jenkins ? Test and deliver a web API In Detail The challenge faced by many teams while implementing Continuous Deployment is that it requires the use of many tools and processes that all work together. Learning and implementing all these tools (correctly) takes a lot of time and effort, leading people to wonder whether it's really worth it. This book sets up a project to show you the different steps, processes, and tools in Continuous Deployment and the actual problems they solve. We start by introducing Continuous Integration (CI), deployment, and delivery as well as providing an overview of the tools used in CI. You'll then create a web app and see how Git can be used in a CI environment. Moving on, you'll explore unit testing using Jasmine and browser testing using Karma and Selenium for your app. You'll also find out how to automate tasks using Gulp and Jenkins. Next, you'll get acquainted with database integration for different platforms, such as MongoDB and PostgreSQL. Finally, you'll set up different Jenkins jobs to integrate with Node.js and C# projects, and Jenkins pipelines to make branching easier. By the end of the book, you'll have implemented Continuous Delivery and deployment from scratch. Style and approach This practical book takes a step-by-step approach to explaining all the concepts of Continuous Integration and delivery, and how it can help you deliver a high-quality product.

Master over 80 incredibly effective recipes to manage the day-to-day complications in your infrastructure About This Book Immediately apply Devops techniques and methods, then combine them with powerful Chef tools to manage and automate your infrastructure Address the growing challenges of code management, cloud, and virtualization with Chef quickly Explore and implement the important aspects of Chef Automate using this recipe-based guide Who This Book Is For This book is for system engineers and administrators who have a fundamental understanding of information management systems and infrastructure. It is also for DevOps Engineers, IT professionals, and organizations who want to automate and gain greater control of their infrastructures with Chef. No experience with Chef is needed, but may help. What You Will Learn Test your cookbooks with Test Kitchen Manage cookbook dependencies with Berkshelf Use reporting to keep track of what happens during the execution of chef-client runs across all of the machines Create custom Ohai and Knife plugins Build a high-availability service using Heartbeat Use a HAProxy to load-balance multiple web servers In Detail Chef is a configuration management tool that lets you automate your more cumbersome IT infrastructure processes and control a large network of computers (and virtual machines) from one master server. This book will help you solve everyday problems with your IT infrastructure with Chef. It will start with recipes that show you how to effectively manage your infrastructure and solve problems with users, applications, and automation. You will then come across a new testing framework, InSpec, to test any node in your infrastructure. Further on, you will learn to customize plugins and write cross-platform cookbooks depending on the platform. You will also install packages from a third-party repository and learn how to manage users and applications. Toward the end, you will build high-availability services and explore what Habitat is and how you can implement it. Style and approach This book follows a recipe-based approach and covers all the important topics you need to know. If you don't want to dig through a whole book before you get started, this book is for you, as it features a set of independent recipes you can try out immediately.

Over 170 advanced recipes to search, analyze, deploy, manage, and monitor data effectively with Elasticsearch 5.x About This Book Deploy and manage simple Elasticsearch nodes as well as complex cluster topologies Write native plugins to extend the functionalities of Elasticsearch 5.x to boost your business Packed with clear, step-by-step recipes to walk you through the capabilities of Elasticsearch 5.x Who This Book Is For If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, this is the book for you. Some understanding of JSON is expected. If you want to extend Elasticsearch, understanding of Java and related technologies is also required. What You Will Learn Choose the best Elasticsearch cloud topology to deploy and power it up with external plugins Develop tailored mapping to take full control of index steps Build complex queries through managing indices and documents Optimize search results through executing analytics aggregations Monitor the performance of the cluster and nodes Install Kibana to monitor cluster and extend Kibana for plugins Integrate Elasticsearch in Java, Scala, Python and Big Data applications In Detail Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and *ing. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch. Style and approach This book follows a problem-solution approach to effectively use and manage Elasticsearch. Each recipe focuses on a particular task at hand, and is explained in a very simple, easy to understand manner.

Embrace the mobile gaming revolution by creating popular iOS games with Swift 3.0 About This Book Create and design games for iPhone and iPad using SpriteKit and Swift 3.0 Learn the core fundamentals of SpriteKit game development and mix and match techniques to customize your game This step-by-step practical guide will teach you to build games from scratch using little-known tips and strategies for maximum fun Who This Book Is For If you wish to create and publish fun iOS games using Swift, then this book is for you. You should be familiar with basic programming concepts. However, no prior game development or Apple ecosystem experience is required. What You Will Learn Deliver powerful graphics, physics, and sound in your game by using SpriteKit Set up the scene using the new capabilities of the scene editor and custom classes Maximize gameplay with little-known tips and strategies for fun and repeatable action Make use of animations, graphics, and particles to polish your game Understand the current mobile monetization landscape to choose the best option for your own situation Integrate your game with Game Center so that your players can share their high scores and achievements Publish your game to the App Store and enjoy people playing your games In Detail Swift is the perfect choice for game development. Developers are intrigued by Swift 3.0 and want to make use of new features to develop their best games yet. Packed with best practices and easy-to-use examples, this book leads you step by step through the development of your first Swift game. This book starts by introducing SpriteKit and Swift's new features that can be used for game development. After setting up your first Swift project, you will build your first custom class, learn how to draw and animate your game, and add physics simulations. Then, you will add the player character, NPCs, and powerups. To make your game more fun and engaging, you will learn how to set up scenes and backgrounds, build fun menus, and integrate with Apple Game Center to add leaderboards and achievements. You will then make your game stand out by adding animations when game objects collide, and incorporate proven techniques such as the advanced particle system and graphics. Finally, you will explore the various options available to start down the path towards monetization and publish your finished games to the App Store. By the end of this book, you will be able to create your own iOS games using Swift and SpriteKit. Style and approach This project-based guide is engaging with a visually-rich approach rather than a text-heavy approach. With every chapter containing practical examples, you will understand how Swift programming works and make the most of the new features in version 3.0.