Combine the power of Apache Spark and Python to build effective big data applications About This Book ? Perform effective data processing, machine learning, and analytics using PySpark ? Overcome challenges in developing and deploying Spark solutions using Python ? Explore recipes for efficiently combining Python and Apache Spark to process data Who This Book Is For The PySpark Cookbook is for you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book. What You Will Learn ? Configure a local instance of PySpark in a virtual environment ? Install and configure Jupyter in local and multi-node environments ? Create DataFrames from JSON and a dictionary using pyspark.sql ? Explore regression and clustering models available in the ML module ? Use DataFrames to transform data used for modeling ? Connect to PubNub and perform aggregations on streams In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem. You’ll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You’ll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you’ll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You’ll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications. Style and approach This book is a rich collection of recipes that will come in handy when you are working with PySpark Addressing your common and not-so-common pain points, this is a book that you must have on the shelf.

Learn how to apply a test-driven development process by building ready C# 7 and .NET Core applications. About This Book ? Create tests to quickly detect and resolve issues when writing portable code ? Uncover code integration issues that improve code quality using continuous integration ? Set up and use data-driven unit testing to verify your code Who This Book Is For This book is for .NET developers who would like to build efficient applications by implementing principles of test-driven development. C# programming and working knowledge of VS is assumed. What You Will Learn ? Write flexible, maintainable, and verifiable code for .NET Core ? Write testable code using SOLID principles and dependency injections ? Recognize the characteristics of a good unit test ? Structure and group your unit test ? Use mock objects to handle dependencies ? Set up an end-to-end continuous integration process In Detail This book guides developers to create robust, production-ready C# 7 and .NET Core applications through the practice of test-driven development process. In C# and .NET Core Test-Driven Development, you will learn the different stages of the TDD life cycle, basics of TDD, best practices, and anti-patterns. It will teach you how to create an ASP.NET Core MVC sample application, write testable code with SOLID principles and set up a dependency injection for your sample application. Next, you will learn the xUnit testing framework and learn how to use its attributes and assertions. You’ll see how to create data-driven unit tests and mock dependencies in your code. You will understand the difference between running and debugging your tests on .NET Core on LINUX versus Windows and Visual Studio. As you move forward, you will be able to create a healthy continuous integration process for your sample application using GitHub, TeamCity, Cake, and Microsoft VSTS. By the end of this book, you will have learned how to write clean and robust code through the effective practice of TDD, set up CI build steps to test and build applications as well as how to package application for deployment on NuGet. Style and approach The book explores the concepts of test driven development in depth so readers can apply these proven techniques to build sophisticated software with C# and .NET.

Improve information security by learning Social Engineering. About This Book ? Learn to implement information security using social engineering ? Get hands-on experience of using different tools such as Kali Linux, the Social Engineering toolkit and so on ? Practical approach towards learning social engineering, for IT security Who This Book Is For This book targets security professionals, security analysts, penetration testers, or any stakeholder working with information security who wants to learn how to use social engineering techniques. Prior knowledge of Kali Linux is an added advantage What You Will Learn ? Learn to implement information security using social engineering ? Learn social engineering for IT security ? Understand the role of social media in social engineering ? Get acquainted with Practical Human hacking skills ? Learn to think like a social engineer ? Learn to beat a social engineer In Detail This book will provide you with a holistic understanding of social engineering. It will help you to avoid and combat social engineering attacks by giving you a detailed insight into how a social engineer operates. Learn Social Engineering starts by giving you a grounding in the different types of social engineering attacks,and the damages they cause. It then sets up the lab environment to use different toolS and then perform social engineering steps such as information gathering. The book covers topics from baiting, phishing, and spear phishing, to pretexting and scareware. By the end of the book, you will be in a position to protect yourself and your systems from social engineering threats and attacks. All in all, the book covers social engineering from A to Z , along with excerpts from many world wide known security experts. Style and approach A step-by-step practical guide that will get you well acquainted with Social Engineering. You’ll be able to get started with it in a matter of minutes with the help of different tools such as the Social Engineering toolkit , Kali Linux and so on.

Invent your own Python scripts to automate your infrastructure About This Book ? Make the most of Python libraries and modules to automate your infrastructure ? Leverage Python programming to automate server configurations and administration tasks ? Efficiently develop your Python skill set Who This Book Is For Hands-On Enterprise Automation with Python is for system administrators and DevOps engineers who are looking for an alternative to major automation frameworks such as Puppet and Chef. Basic programming knowledge with Python and Linux shell scripting is necessary. What You Will Learn ? Understand common automation modules used in Python ? Develop Python scripts to manage network devices ? Automate common Linux administration tasks with Ansible and Fabric ? Managing Linux processes ? Administrate VMware, OpenStack, and AWS instances with Python ? Security automation and sharing code on GitHub In Detail Hands-On Enterprise Automation with Python starts by covering the set up of a Python environment to perform automation tasks, as well as the modules, libraries, and tools you will be using. We’ll explore examples of network automation tasks using simple Python programs and Ansible. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. As you progress through this book, you’ll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. In the concluding chapters, you will cover Python-based offensive security tools and learn how to automate your security tasks. By the end of this book, you will have mastered the skills of automating several system administration tasks with Python. Style and approach This book will follow a practical approach to help you script and automate tasks using Python.

Master the art of writing beautiful and powerful Python by using all of the features that Python 3.5 offers About This Book Become familiar with the most important and advanced parts of the Python code style Learn the trickier aspects of Python and put it in a structured context for deeper understanding of the language Offers an expert's-eye overview of how these advanced tasks fit together in Python as a whole along with practical examples Who This Book Is For Almost anyone can learn to write working * and create high quality code but they might lack a structured understanding of what it means to be 'Pythonic'. If you are a Python programmer who wants to code efficiently by getting the syntax and usage of a few intricate Python techniques exactly right, this book is for you. What You Will Learn Create a virtualenv and start a new project Understand how and when to use the functional programming paradigm Get familiar with the different ways the decorators can be written in Understand the power of generators and coroutines without digressing into lambda calculus Create metaclasses and how it makes working with Python far easier Generate HTML documentation out of documents and code using Sphinx Learn how to track and optimize application performance, both memory and cpu Use the multiprocessing library, not just locally but also across multiple machines Get a basic understanding of packaging and creating your own libraries/applications In Detail Python is a dynamic programming language. It is known for its high readability and hence it is often the first language learned by new programmers. Python being multi-paradigm, it can be used to achieve the same thing in different ways and it is compatible across different platforms. Even if you find writing Python code easy, writing code that is efficient, easy to maintain, and reuse is not so straightforward. This book is an authoritative guide that will help you learn new advanced methods in a clear and contextualised way. It starts off by creating a project-specific environment using venv, introducing you to different Pythonic syntax and common pitfalls before moving on to cover the functional features in Python. It covers how to create different decorators, generators, and metaclasses. It also introduces you to functools.wraps and coroutines and how they work. Later on you will learn to use asyncio module for asynchronous clients and servers. You will also get familiar with different testing systems such as py.test, doctest, and unittest, and debugging tools such as Python debugger and faulthandler. You will learn to optimize application performance so that it works efficiently across multiple machines and Python versions. Finally, it will teach you how to access C functions with a simple Python call. By the end of the book, you will be able to write more advanced *s and take on bigger challenges. Style and Approach This book is a comprehensive guide that covers advanced features of the Python language, and communicate them with an authoritative understanding of the underlying rationale for how, when, and why to use them.

This step-by-step guide will help you gain a deep understanding of the lightweight MQTT protocol. We’ll begin with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. Then, you will use best practices to secure the MQTT Mosquitto broker to ensure that only authorized clients are able to publish and receive messages. Once you have secured the broker with the appropriate configuration, you will develop a solution that controls a drone with Python. Further on, you will use Python on a Raspberry Pi 3 board to process commands and Python on Intel Boards (Joule, Edison and Galileo). You will then connect to the MQTT broker, subscribe to topics, send messages, and receive messages in Python. You will also develop a solution that interacts with sensors in Java by working with MQTT messages. Moving forward, you will work with an asynchronous API with callbacks to make the sensors interact with MQTT messages. Following the same process, you will develop an iOS app with Swift 3, build a website that uses WebSockets to connect to the MQTT broker, and control home automation devices with HTML5, JavaScript code, Node.js and MQTT messages What you will learn ?Understand how MQTTv3.1 and v3.1.1 works in detail ?Install and secure a Mosquitto MQTT broker by following best practices ?Design and develop IoT solutions combined with mobile and web apps that use MQTT messages to communicate ?Explore the features included in MQTT for IoT and Machine-to-Machine communications ?Publish and receive MQTT messages with Python, Java, Swift, JavaScript, and Node.js ?Implement the security best practices while setting up the MQTT Mosquitto broker

Design and implement successful private clouds with OpenStack About This Book Explore the various design choices available for cloud architects within an OpenStack deployment Craft an OpenStack architecture and deployment pipeline to meet the unique needs of your organization Create a product roadmap for Infrastructure as a Service in your organization using this hands-on guide Who This Book Is For This book is written especially for those who will design OpenStack clouds and lead their implementation. These people are typically cloud architects, but may also be in product management, systems engineering, or enterprise architecture. What You Will Learn Familiarize yourself with the components of OpenStack Build an increasingly complex OpenStack lab deployment Write compelling documentation for the architecture teams within your organization Apply Agile configuration management techniques to deploy OpenStack Integrate OpenStack with your organization's identity management, provisioning, and billing systems Configure a robust virtual environment for users to interact with Use enterprise security guidelines for your OpenStack deployment Create a product roadmap that delivers functionality quickly to the users of your platform In Detail Over the last five years, hundreds of organizations have successfully implemented Infrastructure as a Service (IaaS) platforms based on OpenStack. The huge amount of investment from these organizations, industry giants such as IBM and HP, as well as open source leaders such as Red Hat have led analysts to label OpenStack as the most important open source technology since the Linux operating system. Because of its ambitious scope, OpenStack is a complex and fast-evolving open source project that requires a diverse skill-set to design and implement it. This guide leads you through each of the major decision points that you'll face while architecting an OpenStack private cloud for your organization. At each point, we offer you advice based on the experience we've gained from designing and leading successful OpenStack projects in a wide range of industries. Each chapter also includes lab material that gives you a chance to install and configure the technologies used to build production-quality OpenStack clouds. Most importantly, we focus on ensuring that your OpenStack project meets the needs of your organization, which will guarantee a successful rollout. Style and approach This is practical, hands-on guide to implementing OpenStack clouds, where each topic is illustrated with real-world examples and then the technical points are proven in the lab.

Build, implement and scale distributed deep learning models for large-scale datasets About This Book Get to grips with the deep learning concepts and set up Hadoop to put them to use Implement and parallelize deep learning models on Hadoop’s YARN framework A comprehensive tutorial to distributed deep learning with Hadoop Who This Book Is For If you are a data scientist who wants to learn how to perform deep learning on Hadoop, this is the book for you. Knowledge of the basic machine learning concepts and some understanding of Hadoop is required to make the best use of this book. What You Will Learn Explore Deep Learning and various models associated with it Understand the challenges of implementing distributed deep learning with Hadoop and how to overcome it Implement Convolutional Neural Network (CNN) with deeplearning4j Delve into the implementation of Restricted Boltzmann Machines (RBM) Understand the mathematical explanation for implementing Recurrent Neural Networks (RNN) Get hands on practice of deep learning and their implementation with Hadoop. In Detail This book will teach you how to deploy large-scale dataset in deep neural networks with Hadoop for optimal performance. Starting with understanding what deep learning is, and what the various models associated with deep neural networks are, this book will then show you how to set up the Hadoop environment for deep learning. In this book, you will also learn how to overcome the challenges that you face while implementing distributed deep learning with large-scale unstructured datasets. The book will also show you how you can implement and parallelize the widely used deep learning models such as Deep Belief Networks, Convolutional Neural Networks, Recurrent Neural Networks, Restricted Boltzmann Machines and autoencoder using the popular deep learning library deeplearning4j. Get in-depth mathematical explanations and visual representations to help you understand the design and implementations of Recurrent Neural network and Denoising AutoEncoders with deeplearning4j. To give you a more practical perspective, the book will also teach you the implementation of large-scale video processing, image processing and natural language processing on Hadoop. By the end of this book, you will know how to deploy various deep neural networks in distributed systems using Hadoop. Style and approach This book takes a comprehensive, step-by-step approach to implement efficient deep learning models on Hadoop. It starts from the basics and builds the readers’ knowledge as they strengthen their understanding of the concepts. Practical examples are included in every step of the way to supplement the theory.

Exploit the visualization capabilities of Kibana and build powerful interactive dashboards About This Book Introduction to data-driven architecture and the Elastic stack Build effective dashboards for data visualization and explore datasets with Elastic Graph A comprehensive guide to learning scalable data visualization techniques in Kibana Who This Book Is For If you are a developer, data visualization engineer, or data scientist who wants to get the best of data visualization at scale then this book is perfect for you. A basic understanding of Elasticsearch and Logstash is required to make the best use of this book. What You Will Learn How to create visualizations in Kibana Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana Embed Kibana visualization on web pages Scaffold, develop, and deploy new Kibana & Timelion customizations Build a metrics dashboard in Timelion based on time series data Use the Graph plugin visualization feature and leverage a graph query Create, implement, package, and deploy a new custom plugin Use Prelert to solve anomaly detection challenges In Detail Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time. In this book, you’ll learn how to use the Elastic stack on top of a data architecture to visualize data in real time. All data architectures have different requirements and expectations when it comes to visualizing the data, whether it’s logging analytics, metrics, business analytics, graph analytics, or scaling them as per your business requirements. This book will help you master Elastic visualization tools and adapt them to the requirements of your project. You will start by learning how to use the basic visualization features of Kibana 5. Then you will be shown how to implement a pure metric analytics architecture and visualize it using Timelion, a very recent and trendy feature of the Elastic stack. You will learn how to correlate data using the brand-new Graph visualization and build relationships between documents. Finally, you will be familiarized with the setup of a Kibana development environment so that you can build a custom Kibana plugin. By the end of this book you will have all the information needed to take your Elastic stack skills to a new level of data visualization. Style and approach This book takes a comprehensive, step-by-step approach to working with the visualization aspects of the Elastic stack. Every concept is presented in a very easy-to-follow manner that shows you both the logic and method of implementation. Real world cases are referenced to highlight how each of the key concepts can be put to practical use.

Learn the art of leveraging PowerShell to automate Office 365 repetitive tasks About This Book ? Master the fundamentals of PowerShell to automate Office 365 tasks. ? Easily administer scenarios such as user management, reporting, cloud services, and many more. ? A fast-paced guide that leverages PowerShell commands to increase your productivity. Who This Book Is For The book is aimed at sys admins who are administering office 365 tasks and looking forward to automate the manual tasks. They have no knowledge about PowerShell however basic understanding of PowerShell would be advantageous. What You Will Learn ? Understand the benefits of *ing and automation and get started using Powershell with Office 365 ? Explore various PowerShell packages and permissions required to manage Office 365 through PowerShell ? Create, manage, and remove Office 365 accounts and licenses using PowerShell and the Azure AD ? Learn about using powershell on other platforms and how to use Office 365 APIs through remoting ? Work with Exchange Online and SharePoint Online using PowerShell ? Automate your tasks and build easy-to-read reports using PowerShell In Detail While most common administrative tasks are available via the Office 365 admin center, many IT professionals are unaware of the real power that is available to them below the surface. This book aims to educate readers on how learning PowerShell for Office 365 can simplify repetitive and complex administrative tasks, and enable greater control than is available on the surface. The book starts by teaching readers how to access Office 365 through PowerShell and then explains the PowerShell fundamentals required for automating Office 365 tasks. You will then walk through common administrative cmdlets to manage accounts, licensing, and other scenarios such as automating the importing of multiple users,assigning licenses in Office 365, distribution groups, passwords, and so on. Using practical examples, you will learn to enhance your current functionality by working with Exchange Online, and SharePoint Online using PowerShell. Finally, the book will help you effectively manage complex and repetitive tasks (such as license and account management) and build productive reports. By the end of the book, you will have automated major repetitive tasks in Office 365 using PowerShell. Style and approach This step by step guide focuses on teaching the fundamentals of working with PowerShell for Office 365. It covers practical usage examples such as managing user accounts, licensing, and administering common Office 365 services. You will be able to leverage the processes laid out in the book so that you can move forward and explore other less common administrative tasks or functions.

This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book ? Take your first steps in the world of data science by understanding the tools and techniques of data analysis ? Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods ? Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn ? Learn how to clean your data and ready it for analysis ? Implement the popular clustering and regression methods in Python ? Train efficient machine learning models using decision trees and random forests ? Visualize the results of your analysis using Python’s Matplotlib library ? Use Apache Spark’s MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb’s machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank’s successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

This unique book provides you with a wealth of tips, tricks, best practices, and answers to the day-to-day questions that programmers face in their careers. It is split into three parts: Coder Skills, Freelancer Skills, and Career Skills, providing the knowledge you need to get ahead in programming. About This Book ? Over 50 essays with practical advice on improving your programming career ? Practical focus gives solutions to common problems, and methods to become a better coder ? Includes advice for existing programmers and those wanting to begin a career in programming Who This Book Is For This book is useful for programmers of any ability or discipline. It has advice for those thinking about beginning a career in programming, those already working as a fully employed programmer, and for those working as freelance developers. What You Will Learn ? Improve your soft skills to become a better and happier coder ? Learn to be a better developer ? Grow your freelance development business ? Improve your development career ? Learn the best approaches to breaking down complex topics ? Have the confidence to charge what you're worth as a freelancer ? Succeed in developer job interviews In Detail This is an all-purpose toolkit for your programming career. It has been built by Jordan Hudgens over a lifetime of coding and teaching coding. It helps you identify the key questions and stumbling blocks that programmers encounter, and gives you the answers to them! It is a comprehensive guide containing more than 50 insights that you can use to improve your work, and to give advice in your career. The book is split up into three topic areas: Coder Skills, Freelancer Skills, and Career Skills, each containing a wealth of practical advice. Coder Skills contains advice for people starting out, or those who are already working in a programming role but want to improve their skills. It includes such subjects as: how to study and understand complex topics, and getting past skill plateaus when learning new languages. Freelancer Skills contains advice for developers working as freelancers or with freelancers. It includes such subjects as: knowing when to fire a client, and tips for taking over legacy applications. Career Skills contains advice for building a successful career as a developer. It includes such subjects as: how to improve your programming techniques, and interview guides and developer salary negotiation strategies. Style and approach This unique book provides over 50 insightful essays full of practical advice for improving your programming career. The book is split into three broad sections covering different aspects of a developer's career. Each essay is self-contained and can be read individually, or in chunks.

Build amazing Internet of Things projects using the ESP8266 Wi-Fi chip About This Book Get to know the powerful and low cost ESP8266 and build interesting projects in the field of Internet of Things Configure your ESP8266 to the cloud and explore the networkable modules that will be utilized in the IoT projects This step-by-step guide teaches you the basics of IoT with ESP8266 and makes your life easier Who This Book Is For This book is for those who want to build powerful and inexpensive IoT projects using the ESP8266 WiFi chip, including those who are new to IoT, or those who already have experience with other platforms such as Arduino. What You Will Learn Control various devices from the cloud Interact with web services, such as Twitter or Facebook Make two ESP8266 boards communicate with each other via the cloud Send notifications to users of the ESP8266, via email, text message, or push notifications Build a physical device that indicates the current price of Bitcoin Build a simple home automation system that can be controlled from the cloud Create your own cloud platform to control ESP8266 devices In Detail The Internet of Things (IoT) is the network of objects such as physical things embedded with electronics, software, sensors, and connectivity, enabling data exchange. ESP8266 is a low cost WiFi microcontroller chip that has the ability to empower IoT and helps the exchange of information among various connected objects. ESP8266 consists of networkable microcontroller modules, and with this low cost chip, IoT is booming. This book will help deepen your knowledge of the ESP8266 WiFi chip platform and get you building exciting projects. Kick-starting with an introduction to the ESP8266 chip, we will demonstrate how to build a simple LED using the ESP8266. You will then learn how to read, send, and monitor data from the cloud. Next, you’ll see how to control your devices remotely from anywhere in the world. Furthermore, you’ll get to know how to use the ESP8266 to interact with web services such as Twitter and Facebook. In order to make several ESP8266s interact and exchange data without the need for human intervention, you will be introduced to the concept of machine-to-machine communication. The latter part of the book focuses more on projects, including a door lock controlled from the cloud, building a physical Bitcoin ticker, and doing wireless gardening. You’ll learn how to build a cloud-based ESP8266 home automation system and a cloud-controlled ESP8266 robot. Finally, you’ll discover how to build your own cloud platform to control ESP8266 devices. With this book, you will be able to create and program Internet of Things projects using the ESP8266 WiFi chip. Style and approach This is a step-by-step guide that provides great IOT projects with ESP8266. All the key concepts are explained details with the help of examples and demonstrations of the projects.

Over 40 recipes to master mobile device penetration testing with open source tools About This Book Learn application exploitation for popular mobile platforms Improve the current security level for mobile platforms and applications Discover tricks of the trade with the help of code snippets and screenshots Who This Book Is For This book is intended for mobile security enthusiasts and penetration testers who wish to secure mobile devices to prevent attacks and discover vulnerabilities to protect devices. What You Will Learn Install and configure Android SDK and ADB Analyze Android Permission Model using ADB and bypass Android Lock Screen Protection Set up the iOS Development Environment - Xcode and iOS Simulator Create a Simple Android app and iOS app and run it in Emulator and Simulator respectively Set up the Android and iOS Pentesting Environment Explore mobile malware, reverse engineering, and code your own malware Audit Android and iOS apps using static and dynamic analysis Examine iOS App Data storage and Keychain security vulnerabilities Set up the Wireless Pentesting Lab for Mobile Devices Configure traffic interception with Android and intercept Traffic using Burp Suite and Wireshark Attack mobile applications by playing around with traffic and SSL certificates Set up the Blackberry and Windows Phone Development Environment and Simulator Setting up the Blackberry and Windows Phone Pentesting Environment Steal data from Blackberry and Windows phones applications In Detail Mobile attacks are on the rise. We are adapting ourselves to new and improved smartphones, gadgets, and their accessories, and with this network of smart things, come bigger risks. Threat exposure increases and the possibility of data losses increase. Exploitations of mobile devices are significant sources of such attacks. Mobile devices come with different platforms, such as Android and iOS. Each platform has its own feature-set, programming language, and a different set of tools. This means that each platform has different exploitation tricks, different malware, and requires a unique approach in regards to forensics or penetration testing. Device exploitation is a broad subject which is widely discussed, equally explored by both Whitehats and Blackhats. This cookbook recipes take you through a wide variety of exploitation techniques across popular mobile platforms. The journey starts with an introduction to basic exploits on mobile platforms and reverse engineering for Android and iOS platforms. Setup and use Android and iOS SDKs and the Pentesting environment. Understand more about basic malware attacks and learn how the malware are coded. Further, perform security testing of Android and iOS applications and audit mobile applications via static and dynamic analysis. Moving further, you'll get introduced to mobile device forensics. Attack mobile application traffic and overcome SSL, before moving on to penetration testing and exploitation. The book concludes with the basics of platforms and exploit tricks on BlackBerry and Windows Phone. By the end of the book, you will be able to use variety of exploitation techniques across popular mobile platforms with stress on Android and iOS. Style and approach This is a hands-on recipe guide that walks you through different aspects of mobile device exploitation and securing your mobile devices against vulnerabilities. Recipes are packed with useful code snippets and screenshots.

Master the art of agile single page web application development with ClojureScript About This Book Set up interactive development workflows for the browser or Node.js thanks to the ClojureScript ecosystem Learn the basics of interactive single page web app development taking advantage of the functional nature of ClojureScript Delve into advanced rich web application development concepts such as Om, along with core.async, using zippers and logic programming, and preparing code for production with testing or optimizing via the Google Closure Compiler Who This Book Is For This book is for web application developers who want to benefit from the power of ClojureScript to get an agile and highly productive development platform that targets mainly browser JavaScript. You are not required to be fluent in Clojure, but it will be easier for you if you have a basic understanding of browser and server-side JavaScript. What You Will Learn Understand how the ClojureScript compiler operates Set up interactive development workflows for ClojureScript Grasp the basics of the ClojureScript language, including basic syntax, data structures, variable scoping, namespaces, and finally the powerful sequence abstraction Delve into advanced concepts such as functional programming, macro writing, asynchronous programming, app routing, and real-time web Develop simple one page web applications Explore techniques to make your web apps aware of the external world through external or embedded database access or Oauth 2 integration Learn more advanced ClojureScript concepts like in app routing, real-time web Prepare your work for production, getting insights into optional type-checking, writing portable Clojure/ClojureScript code, and testing In Detail Clojure is an expressive language that makes it possible to easily tackle complex software development challenges. Its bias toward interactive development has made it a powerful tool, enabling high developer productivity. In this book, you will first learn how to construct an interactive development experience for ClojureScript.. You will be guided through ClojureScript language concepts, looking at the basics first, then being introduced to advanced concepts such as functional programming or macro writing. After that, we elaborate on the subject of single page web applications, showcasing how to build a simple one, then covering different possible enhancements. We move on to study more advanced ClojureScript concepts, where you will be shown how to address some complex algorithmic cases. Finally, you'll learn about optional type-checking for your programs, how you can write portable code, test it, and put the advanced compilation mode of the Google Closure Compiler to good use. Style and approach This book is a comprehensive reference guide on ClojureScript development for the front end, and will gradually help you master interactive ClojureScript development workflows, through detailed step-by-step information illustrated with annotated code samples.

Learn to really THINK about CSS, and how to create CSS that endures continual iteration, multiple authors, and yet always produces predictable results About This Book Address the problems of CSS at scale, avoiding the shortfalls of scaling CSS. The shortfalls of conventional approaches to scaling CSS. Develop consistent and enforceable selector naming conventions with ECSS. Learn how to organize project structure to more easily isolate and decouple visual components. Who This Book Is For This is a book for working CSS authors involved in large projects. This is a book that tackles create enduring CSS for large-scale projects. What You Will Learn The problems of CSS at scale—specificity, the cascade and styles intrinsically tied to element structure. The shortfalls of conventional approaches to scaling CSS. The ECSS methodology and the problems it solves. How to develop consistent and enforceable selector naming conventions with ECSS. How to organise project structure to more easily isolate and decouple visual components. How to handle state changes in the DOM with ARIA or override selectors. How to apply ECSS to web applications and visual modules. Considerations of CSS tooling and processing: Sass/PostCSS and linting. Addressing the notion of CSS selector speed with hard data and browser representative insight In Detail Learn with me, Ben Frain, about how to really THINK about CSS and how to use CSS for any size project! I'll show you how to write CSS that endures continual iteration, multiple authors, and yet always produces predictable results. Enduring CSS, often referred to as ECSS, offers you a robust and proven approach to authoring and maintaining style sheets at scale. Enduring CSS is not a book about writing CSS, as in the stuff inside the curly braces. This is a book showing you how to think about CSS, and be a smarter developer with that thinking! It's about the organisation and architecture of CSS—the parts outside the braces. I will help you think about the aspects of CSS development that become the most difficult part of writing CSS in larger projects. You’ll learn about the problems of authoring CSS at scale—including specificity, the cascade and styles intrinsically tied to document structure. I'll introduce you to the ECSS methodology, and show you how to develop consistent and enforceable selector naming conventions. We'll cover how to apply ECSS to your web applications and visual model, and how you can organize your project structure wisely, and handle visual state changes with ARIA, providing greater accessibility considerations. In addition, we'll take a deep look into CSS tooling and process considerations. Finally we will address performance considerations by examining topics such as CSS selector speed with hard data and browser-representative insight. Style and approach Learn with me, Ben Frain, about how to really think about CSS. This is a book to deal with writing CSS for large-scale, rapidly changing web projects and applications. This isn't a book about writing CSS, as in the stuff inside the curly braces - this is a book about the organisation and architecture of CSS; the parts outside the braces!

Design, develop, and publish your own mobile apps for iOS and Android using C# and Xamarin Studio About This Book Explore the exciting features of Xamarin Studio while learning to develop your own applications Develop a complete application from conceptualization through to publishing it on the app store The book walks you through the basics of cross-platform development with Xamarin using examples and best practices and tips for cross platform solutions. Who This Book Is For If you want to develop your own applications and want to explore the features of Xamarin Studio, then this is the book for you. It is expected that you have a basic understanding of technologies in mobile development, but prior knowledge of Xamarin is not required. What You Will Learn Understand the software development lifecycle for mobile applications Use Xamarin Studio and its wide range of features to write your programs in C# Use different options to create multi-platform applications using Xamarin and develop a cross-platform extension method Work with Xamarin forms and various UI controls Integrate synchronous and asynchronous communication module within your app Render images to work with Android and iOS Link a third-party application to your solution In Detail The mobile app market is increasing exponentially every year. Xamarin Studio with its modern and powerful IDEs makes creating applications a lot easier by simplifying the development process. Xamarin will allow you and your team to create native applications by taking advantage of one of the most evolved programming language in the world: C#. This book will provide you with the basic skills you need to start developing mobile apps using C# and Xamarin. By working through the examples in each chapter, you will gain hands-on experience of creating a complete app that is fully functional by all means. Finally, you will learn to publish the app you created on the app market. Each project in this book will take you one step closer to becoming a professional app developer. Style and approach The step-by-guide will walk you through the process of creating an application of with the help of small projects that will teach you everything you need to know to build a complete application of your own.

Master text-taming techniques and build effective text-processing applications with R About This Book Develop all the relevant skills for building text-mining apps with R with this easy-to-follow guide Gain in-depth understanding of the text mining process with lucid implementation in the R language Example-rich guide that lets you gain high-quality information from text data Who This Book Is For If you are an R programmer, analyst, or data scientist who wants to gain experience in performing text data mining and analytics with R, then this book is for you. Exposure to working with statistical methods and language processing would be helpful. What You Will Learn Get acquainted with some of the highly efficient R packages such as OpenNLP and RWeka to perform various steps in the text mining process Access and manipulate data from different sources such as JSON and HTTP Process text using regular expressions Get to know the different approaches of tagging texts, such as POS tagging, to get started with text analysis Explore different dimensionality reduction techniques, such as Principal Component Analysis (PCA), and understand its implementation in R Discover the underlying themes or topics that are present in an unstructured collection of documents, using common topic models such as Latent Dirichlet Allocation (LDA) Build a baseline sentence completing application Perform entity extraction and named entity recognition using R In Detail Text Mining (or text data mining or text analytics) is the process of extracting useful and high-quality information from text by devising patterns and trends. R provides an extensive ecosystem to mine text through its many frameworks and packages. Starting with basic information about the statistics concepts used in text mining, this book will teach you how to access, cleanse, and process text using the R language and will equip you with the tools and the associated knowledge about different tagging, chunking, and entailment approaches and their usage in natural language processing. Moving on, this book will teach you different dimensionality reduction techniques and their implementation in R. Next, we will cover pattern recognition in text data utilizing classification mechanisms, perform entity recognition, and develop an ontology learning framework. By the end of the book, you will develop a practical application from the concepts learned, and will understand how text mining can be leveraged to analyze the massively available data on social media. Style and approach This book takes a hands-on, example-driven approach to the text mining process with lucid implementation in R.

Gain a deep understanding of the complexity of data structures and algorithms and discover the right way to write more efficient code About This Book ?This book provides complete coverage of reactive and functional data structures ?Based on the latest version of Java 9, this book illustrates the impact of new features on data structures ?Gain exposure to important concepts such as Big-O Notation and Dynamic Programming Who This Book Is For This book is for Java developers who want to learn about data structures and algorithms. Basic knowledge of Java is assumed. What You Will Learn ?Understand the fundamentals of algorithms, data structures, and measurement of complexity ?Find out what general purpose data structures are, including arrays, linked lists, double ended linked lists, and circular lists ?Get a grasp on the basics of abstract data types―stack, queue, and double ended queue ?See how to use recursive functions and immutability while understanding and in terms of recursion ?Handle reactive programming and its related data structures ?Use binary search, sorting, and efficient sorting―quicksort and merge sort ?Work with the important concept of trees and list all nodes of the tree, traversal of tree, search trees, and balanced search trees ?Apply advanced general purpose data structures, priority queue-based sorting, and random access immutable linked lists ?Gain a better understanding of the concept of graphs, directed and undirected graphs, undirected trees, and much more In Detail Java

Walmart's OneOps is an open source DevOps platform that is used for cloud and application lifecycle management. It can manage critical and complex application workload on any multi cloud-based infrastructure and revolutionizes the way administrators, developers, and engineers develop and launch new products. This practical book focuses on real-life cases and hands-on scenarios to develop, launch, and test your applications faster, so you can implement the DevOps process using OneOps. You will be exposed to the fundamental aspects of OneOps starting with installing, deploying, and configuring OneOps in a test environment, which will also come in handy later for development and debugging. You will also learn about design and architecture, and work through steps to perform enterprise level deployment. You will understand the initial setup of OneOps such as creating organization, teams, and access management. Finally, you will be taught how to configure, repair, scale, and extend applications across various cloud platforms. What you will learn ?See how to install OneOps ?Configure OneOps including creating and configuring organization and teams ?Work through practical deployment scenarios ?Maintain OneOps environments including backups and logs ?Build custom components for OneOps ?Extend OneOps by calling the REST API

Learn how to build physical computing systems using BeagleBone Black and Python About This Book Get to grips with the fundamentals of BeagleBone Leverage Python *s to program BeagleBone for your requirements Build four exciting projects, from home automation to a tele-controlled robot Who This Book Is For This book is intended for hobbyists and consumers who wish to create impressive projects using BeagleBone. You must be familiar with Python programming. What You Will Learn Program on BeagleBone Black using Python Interface sensors and actuators to BeagleBone Black Build your own real-time physical computing systems Connect physical computing systems to cloud servers Build your own home automation and home security system Build your own tele-controlled robot with real-time video streaming In Detail BeagleBone is a low cost, community-supported development platform to develop a variety of electronic projects. This book will introduce you to BeagleBone and get you building fun, cool, and innovative projects with it. Start with the specifications of BeagleBone Black and its operating systems, then get to grips with the GPIOs available in BeagleBone Black. Work through four types of exciting projects: building real-time physical computing systems, home automation, image processing for a security system, and building your own tele-controlled robot and learn the fundamentals of a variety of projects in a single book. By the end of this book, you will be able to write code for BeagleBone in order to operate hardware and impart decision-making capabilities with the help of efficient coding in Python. Style and approach This book is a step by step guide that will walk you through the fundamentals of building different projects using BeagleBone Black.