This step-by-step guide will teach you to continuously improve your mobile application development process About This Book ? Efficiently deliver continuous integration and deployment within all the stages of your application's lifecycle ? Learn to implement mobile DevOps with Xamarin and Visual Studio ? Deliver high quality and performing mobile applications Who This Book Is For If you are a programmer and developer who wants to increase the efficiency and scalability of your mobile application with the implementation of DevOps, then this book is for you. You need basic experience of the application process development. What You Will Learn ? Become fluent with the basic components of Mobile Devops ? Find out how to use code repositories and install Git on an EC2 server and manage users and groups ? Set up an Android device for development and install Visual Studio and Xamarin on Windows ? Create an Android project and UI for applications ? Add permissions to Android Manifest ? Write tests with Xamarin. UI and test using test cloud to check it on multiple devices ? Monitor and optimize the application using the Android monitoring tool ? Debug the mobile application and improve its efficiency In Detail Today's world is all about perfection, and there are hundreds of applications that are released each day out of which only a few succeed. Making sure that the app looks, performs, and behaves as expected is one of the biggest challenge developers face today. The main goal of this book is to teach developers to implement DevOps to build, test, and deliver. This book will teach you to implement Mobile DevOps at every stage of your application's lifecycle with Visual Studio and Xamarin Mobile Lifecycle solutions. Later, it will also show you how to leverage Mobile Center's continuous integration and automated testing to develop a high-quality applications. Next, you’ll see how to mobilize your on-premises data to the cloud and increase your productivity with code reuse. Finally, you’ll discover how to find and fix bugs beforehand, improving the efficiency of your application while it is being developed. By the end of this book, you will be well-versed with Mobile DevOps techniques, delivering high quality and high performance mobile apps. Style and approach This clear, concise, and straightforward book will make you aware of mobile applications by showing you Devops fundamentals such as building, testing, and delivery. This book has been created to help you put new ideas into practice, and demonstrate precisely what's possible with mobile Devops.

Create next-generation Augmented Reality and Mixed Reality apps with the latest version of Google ARCore About This Book ? Harness the power of the Google’s new augmented reality (AR) platform ARCore to build cutting-edge Augmented reality apps ? Learn core concepts of Environmental Understanding, Immersive Computing, and Motion Tracking with ARCore ? Extend your application by combining ARCore with OpenGL, Machine Learning and more. Who This Book Is For This book is for web and mobile developers who have broad programming knowledge on Java or JavaScript or C# and want to develop Augmented Reality applications with Google ArCore. To follow this book no prior experience with AR development, 3D, or 3D math experience is needed. What You Will Learn ? Build and deploy your Augmented Reality app to the Android, Web, and Unity platforms ? Implement ARCore to identify and visualize objects as point clouds, planes, surfaces, and/or meshes ? Explore advanced concepts of environmental understanding using Google ARCore and OpenGL ES with Java ? Create light levels from ARCore and create a C# script to watch and propagate lighting changes in a scene ? Develop graphics shaders that react to changes in lighting and map the environment to place objects in Unity/C# ? Integrate motion tracking with the Web ARCore API and Google Street View to create a combined AR/VR experience In Detail Are you a mobile developer or web developer who wants to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? If so, this book will help you jump right into developing with ARCore and will help you create a step by step AR app easily. This book will teach you how to implement the core features of ARCore starting from the fundamentals of 3D rendering to more advanced concepts such as lighting, shaders, Machine Learning, and others. We’ll begin with the basics of building a project on three platforms: web, Android, and Unity. Next, we’ll go through the ARCore concepts of motion tracking, environmental understanding, and light estimation. For each core concept, you’ll work on a practical project to use and extend the ARCore feature, from learning the basics of 3D rendering and lighting to exploring more advanced concepts. You’ll write custom shaders to light virtual objects in AR, then build a neural network to recognize the environment and explore even grander applications by using ARCore in mixed reality. At the end of the book, you’ll see how to implement motion tracking and environment learning, create animations and sounds, generate virtual characters, and simulate them on your screen. Style and approach Practical examples that will take you through the basics of ARcore and teach you how to build an app using it.

Develop intelligent voice-empowered applications and Chatbots that not only understand voice commands but also respond to it Key Features *Target multiple platforms by creating voice interactions for your applications *Explore real-world examples of how to produce smart and practical virtual assistants *Build a virtual assistant for cars using Android Auto in Xamarin Book Description From touchscreen and mouse-click, we are moving to voice- and conversation-based user interfaces. By adopting Voice User Interfaces (VUIs), you can create a more compelling and engaging experience for your users. Voice User Interface Projects teaches you how to develop voice-enabled applications for desktop, mobile, and Internet of Things (IoT) devices. This book explains in detail VUI and its importance, basic design principles of VUI, fundamentals of conversation, and the different voice-enabled applications available in the market. You will learn how to build your first voice-enabled application by utilizing DialogFlow and Alexa’s natural language processing (NLP) platform. Once you are comfortable with building voice-enabled applications, you will understand how to dynamically process and respond to the questions by using NodeJS server deployed to the cloud. You will then move on to securing NodeJS RESTful API for DialogFlow and Alexa webhooks, creating unit tests and building voice-enabled podcasts for cars. Last but not the least you will discover advanced topics such as handling sessions, creating custom intents, and extending built-in intents in order to build conversational VUIs that will help engage the users. By the end of the book, you will have grasped a thorough knowledge of how to design and develop interactive VUIs. What you will learn *Understand NLP platforms with machine learning *Exploit best practices and user experiences in creating VUI *Build voice-enabled chatbots *Host, secure, and test in a cloud platform *Create voice-enabled applications for personal digital assistant devices *Develop a virtual assistant for cars Who this book is for Voice User Interface Projects is for you if you are a software engineer who wants to develop voice-enabled applications for your personal digital assistant devices such as Amazon Echo and Google Home, along with your car’s virtual assistant systems. Some experience with JavaScript is required.

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence About This Book ? Learn to build and run a big data application with sample code ? Explore examples to implement activities that a big data architect performs ? Use Machine Learning and AI for structured and unstructured data Who This Book Is For Big Data Architect’s Handbook is for you if you are an aspiring data professional, developer, or IT enthusiast who aims to be an all-round architect in big data. This book is your one-stop solution to enhance your knowledge and carry out easy to complex activities required to become a big data architect. What You Will Learn ? Learn Hadoop Ecosystem and Apache projects ? Understand, compare NoSQL database and essential software architecture ? Cloud infrastructure design considerations for big data ? Explore application scenario of big data tools for daily activities ? Learn to analyze and visualize results to uncover valuable insights ? Build and run a big data application with sample code from end to end ? Apply Machine Learning and AI to perform big data intelligence ? Practice the daily activities performed by big data architects In Detail The big data architects are the “masters” of data, and hold high value in today’s market. Handling big data, be it of good or bad quality, is not an easy task. The prime job for any big data architect is to build an end-to-end big data solution that integrates data from different sources and analyzes it to find useful, hidden insights. Big Data Architect’s Handbook takes you through developing a complete, end-to-end big data pipeline, which will lay the foundation for you and provide the necessary knowledge required to be an architect in big data. Right from understanding the design considerations to implementing a solid, efficient, and scalable data pipeline, this book walks you through all the essential aspects of big data. It also gives you an overview of how you can leverage the power of various big data tools such as Apache Hadoop and ElasticSearch in order to bring them together and build an efficient big data solution. By the end of this book, you will be able to build your own design system which integrates, maintains, visualizes, and monitors your data. In addition, you will have a smooth design flow in each process, putting insights in action. Style and approach Comprehensive guide with a perfect blend of theory, examples and implementation of real-world use-cases

Protect your network as you move from the basics of the Wireshark scenarios to detecting and resolving network anomalies. About This Book ? Learn protocol analysis, optimization and troubleshooting using Wireshark, an open source tool ? Learn the usage of filtering and statistical tools to ease your troubleshooting job ? Quickly perform root-cause analysis over your network in an event of network failure or a security breach Who This Book Is For If you are a security professional or a network enthusiast who is interested in understanding the internal working of networks and packets, then this book is for you. No prior knowledge of Wireshark is needed. What You Will Learn ? Learn how TCP/IP works? ? Install Wireshark and understand its GUI ? Creation and Usage of Filters to ease analysis process ? Understand the usual and unusual behaviour of Protocols ? Troubleshoot network anomalies quickly with help of Wireshark ? Use Wireshark as a diagnostic tool for network security analysis to identify source of malware ? Decrypting wireless traffic ? Resolve latencies and bottleneck issues in the network In Detail Wireshark is an open source protocol analyser, commonly used among the network and security professionals. Currently being developed and maintained by volunteer contributions of networking experts from all over the globe. Wireshark is mainly used to analyze network traffic, analyse network issues, analyse protocol behaviour, etc. - it lets you see what's going on in your network at a granular level. This book takes you from the basics of the Wireshark environment to detecting and resolving network anomalies. This book will start from the basics of setting up your Wireshark environment and will walk you through the fundamentals of networking and packet analysis. As you make your way through the chapters, you will discover different ways to analyse network traffic through creation and usage of filters and statistical features. You will look at network security packet analysis, command-line utilities, and other advanced tools that will come in handy when working with day-to-day network operations. By the end of this book, you have enough skill with Wireshark 2 to overcome real-world network challenges. Style and approach Learn and practice the skills of protocol and network analysis using the tool of the pros, Wireshark.

Design, simulate, and program interactive robots About This Book ? Design, simulate, build, and program an interactive autonomous mobile robot ? Leverage the power of ROS, Gazebo, and Python to enhance your robotic skills ? A hands-on guide to creating an autonomous mobile robot with the help of ROS and Python Who This Book Is For This book is for those who are conducting research in mobile robotics and autonomous navigation. As well as the robotics research domain, this book is also for the robot hobbyist community. You’re expected to have a basic understanding of Linux commands and Python. What You Will Learn ? Design a differential robot from scratch ? Model a differential robot using ROS and URDF ? Simulate a differential robot using ROS and Gazebo ? Design robot hardware electronics ? Interface robot actuators with embedded boards ? Explore the interfacing of different 3D depth cameras in ROS ? Implement autonomous navigation in ChefBot ? Create a GUI for robot control In Detail Robot Operating System (ROS) is one of the most popular robotics software frameworks in research and industry. It has various features for implementing different capabilities in a robot without implementing them from scratch. This book starts by showing you the fundamentals of ROS so you understand the basics of differential robots. Then, you'll learn about robot modeling and how to design and simulate it using ROS. Moving on, we'll design robot hardware and interfacing actuators. Then, you'll learn to configure and program depth sensors and LIDARs using ROS. Finally, you'll create a GUI for your robot using the Qt framework. By the end of this tutorial, you'll have a clear idea of how to integrate and assemble everything into a robot and how to bundle the software package. Style and approach A step-by-step guide which will help you to create an autonomous mobile robot with the help of ROS and Python. It will help you to understand and implement the fundamental concepts of differential robots and teach you to create differential robot’s simulation using Gazebo.

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python About This Book ? Your entry point into the world of artificial intelligence using the power of Python ? An example-rich guide to master various RL and DRL algorithms ? Explore various state-of-the-art architectures along with math Who This Book Is For If you’re a machine learning developer or deep learning enthusiast interested in artificial intelligence and want to learn about reinforcement learning from scratch, this book is for you. Some knowledge of linear algebra, calculus, and the Python programming language will help you understand the concepts covered in this book. What You Will Learn ? Understand the basics of reinforcement learning methods, algorithms, and elements ? Train an agent to walk using OpenAI Gym and Tensorflow ? Understand the Markov Decision Process, Bellman’s optimality, and TD learning ? Solve multi-armed-bandit problems using various algorithms ? Master deep learning algorithms, such as RNN, LSTM, and CNN with applications ? Build intelligent agents using the DRQN algorithm to play the Doom game ? Teach agents to play the Lunar Lander game using DDPG ? Train an agent to win a car racing game using dueling DQN In Detail Reinforcement Learning (RL) is the trending and most promising branch of artificial intelligence. Hands-On Reinforcement learning with Python will help you master not only the basic reinforcement learning algorithms but also the advanced deep reinforcement learning algorithms. The book starts with an introduction to Reinforcement Learning followed by OpenAI Gym, and TensorFlow. You will then explore various RL algorithms and concepts, such as Markov Decision Process, Monte Carlo methods, and dynamic programming, including value and policy iteration. This example-rich guide will introduce you to deep reinforcement learning algorithms, such as Dueling DQN, DRQN, A3C, PPO, and TRPO. You will also learn about imagination-augmented agents, learning from human preference, DQfD, HER, and many more of the recent advancements in reinforcement learning. By the end of the book, you will have all the knowledge and experience needed to implement reinforcement learning and deep reinforcement learning in your projects, and you will be all set to enter the world of artificial intelligence. Style and approach This is a hands-on book designed to further expand your machine learning skills by understanding reinforcement to deep reinforcement learning algorithms with applications in Python.

Enhance the power of NumPy and start boosting your scientific computing capabilities About This Book ? Grasp all aspects of numerical computing and understand NumPy ? Explore examples to learn exploratory data analysis (EDA), regression, and clustering ? Access NumPy libraries and use performance benchmarking to select the right tool Who This Book Is For Mastering Numerical Computing with NumPy is for you if you are a Python programmer, data analyst, data engineer, or a data science enthusiast, who wants to master the intricacies of NumPy and build solutions for your numeric and scientific computational problems. You are expected to have familiarity with mathematics to get the most out of this book. What You Will Learn ? Perform vector and matrix operations using NumPy ? Perform exploratory data analysis (EDA) on US housing data ? Develop a predictive model using simple and multiple linear regression ? Understand unsupervised learning and clustering algorithms with practical use cases ? Write better NumPy code and implement the algorithms from scratch ? Perform benchmark tests to choose the best configuration for your system In Detail NumPy is one of the most important scientific computing libraries available for Python. Mastering Numerical Computing with NumPy teaches you how to achieve expert level competency to perform complex operations, with in-depth coverage of advanced concepts. Beginning with NumPy's arrays and functions, you will familiarize yourself with linear algebra concepts to perform vector and matrix math operations. You will thoroughly understand and practice data processing, exploratory data analysis (EDA), and predictive modeling. You will then move on to working on practical examples which will teach you how to use NumPy statistics in order to explore US housing data and develop a predictive model using simple and multiple linear regression techniques. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. The book also demonstrates the use of different high-performance numerical computing libraries and their relationship with NumPy. You will study how to benchmark the performance of different configurations and choose the best for your system. By the end of this book, you will have become an expert in handling and performing complex data manipulations. Style and approach This mastering guide will help you master your skills required to perform a complex numerical computation. The book contains the right mixture of theory and practical examples that will help you in dealing with the advanced NumPy and build solutions for your numeric and scientific computational problems

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.

Mastering material for dealing with DBA certification exams About This Book ? Prepare yourself for the IBM C2090-600 certification exam ? Cover over 50 Db2 procedures including database design, performance, and security ? Work through over 150 Q&As to gain confidence on each topic Who This Book Is For The IBM Db2 11.1 Certification Guide is an excellent choice for database administrators, architects, and application developers who are keen to obtain certification in Db2. Basic understanding of Db2 is expected in order to get the most out of this guide. What You Will Learn ? Configure and manage Db2 servers, instances, and databases ? Implement Db2 BLU Acceleration and a DB2 pureScale environment ? Create, manage, and alter Db2 database objects ? Use the partitioning capabilities available within Db2 ? Enforce constraint checking with the SET INTEGRITY command ? Utilize the Db2 problem determination (db2pd) and dsmtop tools ? Configure and manage HADR ? Understand how to encrypt data in transit and at rest In Detail IBM Db2 is a relational database management system (RDBMS) that helps you store, analyze, and retrieve data efficiently. This comprehensive book is designed to help you master all aspects of IBM Db2 database administration and prepare you to take and pass IBM's Certification Exams C2090-600. Building on years of extensive experience, the authors take you through all areas covered by the test. The book delves deep into each certification topic: Db2 server management, physical design, business rules implementation, activity monitoring, utilities, high availability, and security. IBM Db2 11.1 Certification Guide provides you with more than 150 practice questions and answers, simulating real certification examination questions. Each chapter includes an extensive set of practice questions along with carefully explained answers. This book will not just prepare you for the C2090-600 exam but also help you troubleshoot day-to-day database administration challenges. Style and approach A comprehensive certification preparation guide for the C2090-600 exam, covering all the topics in greater detail and with sample questions and answers at the end of each chapter.

Develop blockchain application with step-by-step instructions, working example and helpful recommendations About This Book ? Understanding the blockchain technology from the cybersecurity perspective ? Developing cyber security solutions with Ethereum blockchain technology ? Understanding real-world deployment of blockchain based applications Who This Book Is For The book is targeted towards security professionals, or any stakeholder dealing with cybersecurity who wants to understand the next-level of securing infrastructure using Blockchain. Basic understanding of Blockchain can be an added advantage. What You Will Learn ? Understand the cyberthreat landscape ? Learn about Ethereum and Hyperledger Blockchain ? Program Blockchain solutions ? Build Blockchain-based apps for 2FA, and DDoS protection ? Develop Blockchain-based PKI solutions and apps for storing DNS entries ? Challenges and the future of cybersecurity and Blockchain In Detail Blockchain technology is being welcomed as one of the most revolutionary and impactful innovations of today. Blockchain technology was first identified in the world’s most popular digital currency, Bitcoin, but has now changed the outlook of several organizations and empowered them to use it even for storage and transfer of value. This book will start by introducing you to the common cyberthreat landscape and common attacks such as malware, phishing, insider threats, and DDoS. The next set of chapters will help you to understand the workings of Blockchain technology, Ethereum and Hyperledger architecture and how they fit into the cybersecurity ecosystem. These chapters will also help you to write your first distributed application on Ethereum Blockchain and the Hyperledger Fabric framework. Later, you will learn about the security triad and its adaptation with Blockchain. The last set of chapters will take you through the core concepts of cybersecurity, such as DDoS protection, PKI-based identity, 2FA, and DNS security. You will learn how Blockchain plays a crucial role in transforming cybersecurity solutions. Toward the end of the book, you will also encounter some real-world deployment examples of Blockchain in security cases, and also understand the short-term challenges and future of cybersecurity with Blockchain. Style and approach This book will follow a practical approach to help understand blockchain technology to transform cybersecurity solutions

Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications About This Book ? Understand common performance pitfalls and improve the performance of your applications. ? Get to grips with parallel programming and multithreading with Rust. ? Learn metaprogramming in Rust. Who This Book Is For This book is for Rust developers keen to improve the speed of their code or simply to take their skills to the next level. What You Will Learn ? Master tips and tricks to make your code faster. ? Learn how to identify bottlenecks in your Rust applications ? Discover how to profile your Rust software. ? Understand the type system to create compile-time optimizations. ? Master the borrow checker . ? Learn metaprogramming in Rust to avoid boilerplate code. ? Discover multithreading and work stealing in Rust. ? Understand asynchronous programming in Rust. In Detail At times, it is difficult to get the best performance out of Rust. This book teaches you to optimize the speed of your Rust code to the level of languages such as C/C++. You'll understand and fix common pitfalls, learn how to improve your productivity by using metaprogramming, and speed up your code by concurrently executing parts of it safely and easily. You will master the features of the language which will make you stand out and use them to really improve the efficiency of your algorithms The book begins with a gentle introduction to help you identify bottlenecks when programming in Rust. We highlight common performance pitfalls, along with strategies to detect and resolve these issues early. We move on to mastering Rust's type system, which will enable us to create impressive optimizations in both performance and safety at compile time. You will then learn how to effectively manage memory in Rust, mastering the borrow checker. We move on to measuring performance and you will see how this affects the way you write code. Moving ahead, you will perform metaprogramming in Rust to boost the performance of your code and your productivity. You will finally learn parallel programming in Rust, which enables efficient and faster execution by using multithreading and asynchronous programming. Style and approach You'll embark on a learning journey that will teach about you deep-core concepts in the Rust language. Learning those concepts—such as understanding the borrow checker—will make you competent to write more efficient Rust code. To learn those core concepts, you'll perform practical work and see for yourself how specific patterns improve the performance of your code.

Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios About This Book ? Build efficient deep learning pipelines using the popular Tensorflow framework ? Train neural networks such as ConvNets, generative models, and LSTMs ? Includes projects related to Computer Vision, stock prediction, chatbots and more Who This Book Is For This book is for data scientists, machine learning developers as well as deep learning practitioners, who want to build interesting deep learning projects that leverage the power of Tensorflow. Some understanding of machine learning and deep learning, and familiarity with the TensorFlow framework is all you need to get started with this book. What You Will Learn ? Set up the TensorFlow environment for deep learning ? Construct your own ConvNets for effective image processing ? Use LSTMs for image caption generation ? Forecast stock prediction accurately with an LSTM architecture ? Learn what semantic matching is by detecting duplicate Quora questions ? Set up an AWS instance with TensorFlow to train GANs ? Train and set up a chatbot to understand and interpret human input ? Build an AI capable of playing a video game by itself –and win it! In Detail TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with TensorFlow with the help of 10 real-world projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning. Learn to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few. You will also develop systems that perform machine translation, and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently. Style and approach This book contains 10 unique, end-to-end projects covering all aspects of deep learning and their implementations with TensorFlow. Each project will equip you with a unique skillset in training efficient deep learning models, and empower you to implement your own projects more confidently

Secure public and private cloud workloads with this comprehensive learning guide. About This Book ? Take your cloud security functions to the next level by automation ? Learn to automate your security functions on AWS and OpenStack ? Practical approach towards securing your workloads efficiently Who This Book Is For This book is targeted at DevOps Engineers, Security professionals, or any stakeholders responsible for securing cloud workloads. Prior experience with AWS or OpenStack will be an advantage. What You Will Learn ? Define security for public and private cloud services ? Address the security concerns of your cloud ? Understand Identity and Access Management ? Get acquainted with cloud storage and network security ? Improve and optimize public and private cloud security ? Automate cloud security ? Understand the security compliance requirements of your cloud In Detail Security issues are still a major concern for all IT organizations. For many enterprises, the move to cloud computing has raised concerns for security, but when applications are architected with focus on security, cloud platforms can be made just as secure as on-premises platforms. Cloud instances can be kept secure by employing security automation that helps make your data meet your organization's security policy. This book starts with the basics of why cloud security is important and how automation can be the most effective way of controlling cloud security. You will then delve deeper into the AWS cloud environment and its security services by dealing with security functions such as Identity and Access Management and will also learn how these services can be automated. Moving forward, you will come across aspects such as cloud storage and data security, automating cloud deployments, and so on. Then, you'll work with OpenStack security modules and learn how private cloud security functions can be automated for better time- and cost-effectiveness. Toward the end of the book, you will gain an understanding of the security compliance requirements for your Cloud. By the end of this book, you will have hands-on experience of automating your cloud security and governance. Style and approach This book follows a step-by-step, practical approach to help automate and secure your cloud account structure in an Amazon Web Services (AWS) and OpenStack environment.

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. About This Book ? Analyze your data using R – the most powerful statistical programming language ? Learn how to implement applied statistics using practical use-cases ? Use popular R packages to work with unstructured and structured data Who This Book Is For Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book. What You Will Learn ? Gain a thorough understanding of statistical reasoning and sampling theory ? Employ hypothesis testing to draw inferences from your data ? Learn Bayesian methods for estimating parameters ? Train regression, classification, and time series models ? Handle missing data gracefully using multiple imputation ? Identify and manage problematic data points ? Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization ? Put best practices into effect to make your job easier and facilitate reproducibility In Detail Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. Style and approach An easy-to-follow step by step guide which will help you get to grips with real world application of Data Analysis with R

Fast track your development skills to build resourceful, open-source business applications with Odoo 11 About This Book ? Discover the latest technical capabilities in Odoo 11 while you build your own app ? Program business logic and manipulate data to implement specific business rules in your applications ? Implement automated tests to add modules and techniques and debug module business logic Who This Book Is For Odoo 11 Development Essentials caters to developers who are familiar with Python and MVC design and now want to build effective business applications using Odoo. What You Will Learn ? Install Odoo from source ? Manage Odoo server instances ? Create a new Odoo application from scratch covering the most frequently used elements ? Develop new models and use inheritance to extend/modify existing models ? Use ORM methods, both in the Odoo server and from external clients ? Create Kanban views using QWeb effectively ? Develop custom web and website CMS pages ? Use external API to integrate Odoo with external applications In Detail Odoo continues to gain worldwide momentum as the best platform for open source ERP installations. Now, with Odoo 11, you have access to an improved GUI, performance optimization, integrated in-app purchase features, and a fast-growing community to help transform and modernize your business. With this practical guide, you will cover all the new features that Odoo 11 has to offer to build and customize business applications, focusing on the publicly available community edition. We begin with setting up a development environment, and as you make your way through the chapters, you will learn to build feature-rich business applications. With the aim of jump-starting your Odoo proficiency level, from no specific knowledge to application development readiness, you will develop your first Odoo application. We then move on to topics such as models and views, and understand how to use server APIs to add business logic, helping to lay a solid foundation for advanced topics. The book concludes with Odoo interactions and how to use the Odoo API from other programs, all of which will enable you to efficiently integrate applications with other external systems. Style and Approach This fast-paced tutorial explains topics with the help of practical examples to help you understand each chapter efficiently.

Your one stop solution to implement a Cyber Defense Intelligence program in to your organisation. About This Book ? Intelligence processes and procedures for response mechanisms ? Master F3EAD to drive processes based on intelligence ? Threat modeling and intelligent frameworks ? Case studies and how to go about building intelligent teams Who This Book Is For This book targets incident managers, malware analysts, reverse engineers, digital forensics specialists, and intelligence analysts; experience in, or knowledge of, security operations, incident responses or investigations is desirable so you can make the most of the subjects presented. What You Will Learn ? Learn about the Observe-Orient-Decide-Act (OODA) loop and it's applicability to security ? Understand tactical view of Active defense concepts and their application in today's threat landscape ? Get acquainted with an operational view of the F3EAD process to drive decision making within an organization ? Create a Framework and Capability Maturity Model that integrates inputs and outputs from key functions in an information security organization ? Understand the idea of communicating with the Potential for Exploitability based on cyber intelligence In Detail Cyber intelligence is the missing link between your cyber defense operation teams, threat intelligence, and IT operations to provide your organization with a full spectrum of defensive capabilities. This book kicks off with the need for cyber intelligence and why it is required in terms of a defensive framework. Moving forward, the book provides a practical explanation of the F3EAD protocol with the help of examples. Furthermore, we learn how to go about threat models and intelligence products/frameworks and apply them to real-life scenarios. Based on the discussion with the prospective author I would also love to explore the induction of a tool to enhance the marketing feature and functionality of the book. By the end of this book, you will be able to boot up an intelligence program in your organization based on the operation and tactical/strategic spheres of Cyber defense intelligence. Style and approach A step-by-step practical guide that will help you master defensive frameworks to secure your system, and the F3EAD protocol to help you boot up an intelligence program in your organization.

Over 100 recipes to analyze and troubleshoot network problems using Wireshark 2 About This Book ? Place Wireshark 2 in your network and configure it for effective network analysis ? Deep dive into the enhanced functionalities of Wireshark 2 and protect your network with ease ? A practical guide with exciting recipes on a widely used network protocol analyzer Who This Book Is For This book is for security professionals, network administrators, R&D, engineering and technical support, and communications managers who are using Wireshark for network analysis and troubleshooting. It requires a basic understanding of networking concepts, but does not require specific and detailed technical knowledge of protocols or vendor implementations. What You Will Learn ? Configure Wireshark 2 for effective network analysis and troubleshooting ? Set up various display and capture filters ? Understand networking layers, including IPv4 and IPv6 analysis ? Explore performance issues in TCP/IP ? Get to know about Wi-Fi testing and how to resolve problems related to wireless LANs ? Get information about network phenomena, events, and errors ? Locate faults in detecting security failures and breaches in networks In Detail This book contains practical recipes on troubleshooting a data communications network. This second version of the book focuses on Wireshark 2, which has already gained a lot of traction due to the enhanced features that it offers to users. The book expands on some of the subjects explored in the first version, including TCP performance, network security, Wireless LAN, and how to use Wireshark for cloud and virtual system monitoring. You will learn how to analyze end-to-end IPv4 and IPv6 connectivity failures for Unicast and Multicast traffic using Wireshark. It also includes Wireshark capture files so that you can practice what you’ve learned in the book. You will understand the normal operation of E-mail protocols and learn how to use Wireshark for basic analysis and troubleshooting. Using Wireshark, you will be able to resolve and troubleshoot common applications that are used in an enterprise network, like NetBIOS and SMB protocols. Finally, you will also be able to measure network parameters, check for network problems caused by them, and solve them effectively. By the end of this book, you’ll know how to analyze traffic, find patterns of various offending traffic, and secure your network from them. Style and approach This book consists of practical recipes on Wireshark 2 that target novices as well as intermediate Wireshark users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples so that you are able to implement it in your daily life scenarios.

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