Over 85 recipes to help you complete real-world data science projects in R and Python About This Book ? Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data ? Get beyond the theory and implement real-world projects in data science using R and Python ? Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python. What You Will Learn ? Learn and understand the installation procedure and environment required for R and Python on various platforms ? Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python ? Build a predictive model and an exploratory model ? Analyze the results of your model and create reports on the acquired data ? Build various tree-based methods and Build random forest In Detail As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis—R and Python. Style and approach This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization

Reactive Programming with Java and ReactiveX About This Book ? Explore the essential tools and operators RxJava provides, and know which situations to use them in ? Delve into Observables and Subscribers, the core components of RxJava used for building scalable and performant reactive applications ? Delve into the practical implementation of tools to effectively take on complex tasks such as concurrency and backpressure Who This Book Is For The primary audience for this book is developers with at least a fundamental mastery of Java. Some readers will likely be interested in RxJava to make programs more resilient, concurrent, and scalable. Others may be checking out reactive programming just to see what it is all about, and to judge whether it can solve any problems they may have. What You Will Learn ? Learn the features of RxJava 2 that bring about many significant changes, including new reactive types such as Flowable, Single, Maybe, and Completable ? Understand how reactive programming works and the mindset to "think reactively" ? Demystify the Observable and how it quickly expresses data and events as sequences ? Learn the various Rx operators that transform, filter, and combine data and event sequences ? Leverage multicasting to push data to multiple destinations, and cache and replay them ? Discover how concurrency and parallelization work in RxJava, and how it makes these traditionally complex tasks trivial to implement ? Apply RxJava and Retrolambda to the Android domain to create responsive Android apps with better user experiences ? Use RxJava with the Kotlin language to express RxJava more idiomatically with extension functions, data classes, and other Kotlin features In Detail RxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time. Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications. Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin. Style and approach This book will be different from other Rx books, taking an approach that comprehensively covers Rx concepts and practical applications.

Explore the power of distributed computing to write concurrent, scalable applications in Java About This Book ? Make the best of Java 9 features to write succinct code ? Handle large amounts of data using HPC ? Make use of AWS and Google App Engine along with Java to establish a powerful remote computation system Who This Book Is For This book is for basic to intermediate level Java developers who is aware of object-oriented programming and Java basic concepts. What You Will Learn ? Understand the basic concepts of parallel and distributed computing/programming ? Achieve performance improvement using parallel processing, multithreading, concurrency, memory sharing, and hpc cluster computing ? Get an in-depth understanding of Enterprise Messaging concepts with Java Messaging Service and Web Services in the context of Enterprise Integration Patterns ? Work with Distributed Database technologies ? Understand how to develop and deploy a distributed application on different cloud platforms including Amazon Web Service and Docker CaaS Concepts ? Explore big data technologies ? Effectively test and debug distributed systems ? Gain thorough knowledge of security standards for distributed applications including two-way Secure Socket Layer In Detail Distributed computing is the concept with which a bigger computation process is accomplished by splitting it into multiple smaller logical activities and performed by diverse systems, resulting in maximized performance in lower infrastructure investment. This book will teach you how to improve the performance of traditional applications through the usage of parallelism and optimized resource utilization in Java 9. After a brief introduction to the fundamentals of distributed and parallel computing, the book moves on to explain different ways of communicating with remote systems/objects in a distributed architecture. You will learn about asynchronous messaging with enterprise integration and related patterns, and how to handle large amount of data using HPC and implement distributed computing for databases. Moving on, it explains how to deploy distributed applications on different cloud platforms and self-contained application development. You will also learn about big data technologies and understand how they contribute to distributed computing. The book concludes with the detailed coverage of testing, debugging, troubleshooting, and security aspects of distributed applications so the programs you build are robust, efficient, and secure. Style and approach This is a step-by-step practical guide with real-world examples.

A fun way to create interesting and cool apps for your Wearable device using Android programming. About This Book ? Create real-time Android Wear apps from scratch and become a pro Android Wear Developer ? Learn to create apps specially dedicated to the Android Wear platform ? Design custom Wear UIs and create interactive Watch faces Who This Book Is For The book is for Android developers with a good understanding of programming and developing applications on Android, but they need not have any experience of creating Wear apps. What You Will Learn ? Design and build Wear apps. ? Learn how to use offline storage in Wear apps. ? Understand sensors and how to work with them ? Work with standalone applications of the wear 2.0 API. ? Create a map application for Android Wear devices ? Write a watch face and understand more about Wear 2.0 ? Work with firebase realtime database and firebase functions ? Create a chatting application that has wear companion app In Detail Android Wear Projects is your opportunity to step into the exciting new world of Android Wear app development. This book will help you to master the skills in Android Wear programming and give you a complete insight on wear app development. You will create five different Android Wear apps just like the most popular Android Wear apps. You will create a To-do list, a city maps app, a Wear messenger, Wear fitness tracker and Watch face. While you create these apps you will learn to create custom notifications, receive voice inputs in notifications, add pages to notifications and stack notifications. You will see how to create custom wear app layouts, the custom UIs specially designed for Wear. You will learn to handle and manage data and syncing data with other devices, create interactive Watch faces and also ensure the safety and security of your Wear apps by testing and securing your apps before you deploy them on the app store. Style and approach This book will take a project based tutorial style approach where every chapter will create a separate android Wear app and highlight different features of android Wear apps.

Build cost-effective and highly scalable Serverless applications using AWS Lambda. About This Book ? Leverage AWS Lambda to significantly lower your infrastructure costs and deploy out massively scalable, event-driven systems and applications ? Learn how to design and build Lambda functions using real-world examples and implementation scenarios ? Explore the Serverless ecosystem with a variety of toolsets and AWS services including DynamoDB, API Gateway, and much more! Who This Book Is For If you are a Cloud administrator and/or developer who wishes to explore, learn, and leverage AWS Lambda to design, build, and deploy Serverless applications in the cloud, then this is the book for you! The book assumes you have some prior knowledge and hands-on experience with AWS core services such as EC2, IAM, S3, along with the knowledge to work with any popular programming language such as Node.Js, Java, C#, and so on. What You Will Learn ? Understand the hype, significance, and business benefits of Serverless computing and applications ? Plunge into the Serverless world of AWS Lambda and master its core components and how it works ? Find out how to effectively and efficiently design, develop, and test Lambda functions using Node.js, along with some keen coding insights and best practices ? Explore best practices to effectively monitor and troubleshoot Serverless applications using AWS CloudWatch and other third-party services in the form of Datadog and Loggly ? Quickly design and develop Serverless applications by leveraging AWS Lambda, DynamoDB, and API Gateway using the Serverless Application Framework (SAF) and other AWS services such as Step Functions ? Explore a rich variety of real-world Serverless use cases with Lambda and see how you can apply it to your environments In Detail AWS is recognized as one of the biggest market leaders for cloud computing and why not? It has evolved a lot since the time it started out by providing just basic services such as EC2 and S3 and today; they go all the way from IoT to Machine Learning, Image recognition, Chatbot Frameworks, and much more! One of those recent services that is also gaining a lot of traction is AWS Lambda! Although seemingly simple and easy to use, Lambda is a highly effective and scalable compute service that provides developers with a powerful platform to design and develop Serverless event-driven systems and applications. The book begins with a high-level introduction into the world of Serverless computing and its advantages and use cases, followed by a deep dive into AWS Lambda! You’ll learn what services AWS Lambda provides to developers; how to design, write, and test Lambda functions; as well as monitor and troubleshoot them. The book is designed and accompanied with a vast variety of real-world examples, use cases, and code samples that will enable you to get started on your Serverless applications quickly. By the end of the book, you will have gained all the skills required to work with AWS Lambda services! Style and approach This step-by-step guide will help you build Serverless applications and run Serverless workloads using the AWS Lambda service. You’ll be able to get started with it in a matter of minutes with easy-to-follow code snippets and examples.

Leverage ASP.Net Web API to build professional web services and create powerful applications. About This Book ? Get a comprehensive analysis of the latest specification of ASP.NET Core and all the changes to the underlying platform that you need to know to make the most of the web API ? See an advanced coverage of ASP.NET Core Web API to create robust models for your data, create controllers, and handle routing and security ? This book is packed with key theoretical and practical concepts that can be instantly applied to build professional applications using API with Angular 4, Ionic, and React Who This Book Is For This book is for .Net developers who wants to Master ASP.NET Core (Web API) and have played around with previous ASP.NET Web API a little, but don’t have in-depth knowledge of it. You need to know Visual Studio and C#, and have some HTML, CSS, and JavaScript knowledge. What You Will Learn ? Acquire conceptual and hands-on knowledge of ASP.NET Core (MVC & Web API) ? Learn about HTTP methods, the structure of HTTP content, internet media types, and how servers respond to HTTP requests and their associated HTTP codes ? Explore middleware, filters, routing, and unit testing ? Optimize Web API implementations ? Develop a secure Web API interface ? Deploy Web API projects to various platforms ? Consume your web API in front end application based on Angular 4, Bootstrap, and Ionic ? Implement and explore the current trends in service architecture In Detail Microsoft has unified their main web development platforms. This unification will help develop web applications using various pieces of the ASP.NET platform that can be deployed on both Windows and LINUX. With ASP.NET Core (Web API), it will become easier than ever to build secure HTTP services that can be used from any client. Mastering ASP.NET Web API starts with the building blocks of the ASP.NET Core, then gradually moves on to implementing various HTTP routing strategies in the Web API. We then focus on the key components of building applications that employ the Web API, such as Kestrel, Middleware, Filters, Logging, Security, and Entity Framework.Readers will be introduced to take the TDD approach to write test cases along with the new Visual Studio 2017 live unit testing feature. They will also be introduced to integrate with the database using ORMs. Finally, we explore how the Web API can be consumed in a browser as well as by mobile applications by utilizing Angular 4, Ionic and ReactJS. By the end of this book, you will be able to apply best practices to develop complex Web API, consume them in frontend applications and deploy these applications to a modern hosting infrastructure. Style and approach Using a hands-on approach, we cover both the conceptual as well as the technical aspects of the ASP.NET Core (Web API) framework.

Practically and deeply understand concurrency in Python to write efficient programs About This Book ? Build highly efficient, robust, and concurrent applications ? Work through practical examples that will help you address the challenges of writing concurrent code ? Improve the overall speed of execution in multiprocessor and multicore systems and keep them highly available Who This Book Is For This book is for Python developers who would like to get started with concurrent programming. Readers are expected to have a working knowledge of the Python language, as this book will build on these fundamentals concepts. What You Will Learn ? Explore the concept of threading and multiprocessing in Python ? Understand concurrency with threads ? Manage exceptions in child threads ? Handle the hardest part in a concurrent system — shared resources ? Build concurrent systems with Communicating Sequential Processes (CSP) ? Maintain all concurrent systems and master them ? Apply reactive programming to build concurrent systems ? Use GPU to solve specific problems In Detail Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices. Style and approach This easy-to-follow guide teaches you new practices and techniques to optimize your code, and then moves toward more advanced ways to effectively write efficient Python code. Small and simple practical examples will help you test the concepts yourself, and you will be able to easily adapt them for any application.

Master the objectives required to pass the Certified OpenStack Administrator exam. About This Book ? Focuses on providing a clear, concise strategy so you gain the specific skills required to pass the Certified OpenStack Administrator exam ? Includes exercises and performance-based tasks to ensure all exam objectives can be completed via the Horizon dashboard and command-line interface ? Includes a free OpenStack Virtual Appliance to practice the objectives covered throughout the book ? Includes a practice exam to put your OpenStack skills to the test to prove you have what it takes to conquer the live exam ? Updated for the 2017 exam featuring OpenStack Newton Who This Book Is For This book is for IT professionals, system administrators, DevOps engineers, and software developers with basic Linux command-line and networking knowledge. It’s also a great guide for those interested in an entry-level OpenStack position but have limited real-world OpenStack experience. After passing the exam, Certified OpenStack Administrators will prove they have the required skills for the job. What You Will Learn ? Manage the Keystone identity service by creating and modifying domains, groups, projects, users, roles, services, endpoints, and quotas. ? Upload Glance images, launch new Nova instances, and create flavors, key pairs, and snapshots. ? Discover Neutron tenant and provider networks, security groups, routers, and floating IPs. ? Manage the Cinder block storage service by creating volumes and attaching them to instances. ? Create Swift containers and set access control lists to allow read/write access to your objects. ? Explore Heat orchestration templates and create, list, and update stacks. In Detail This book provides you with a specific strategy to pass the OpenStack Foundation’s first professional certification: the Certified OpenStack Administrator. In a recent survey, 78% of respondents said the OpenStack skills shortage had deterred them from adopting OpenStack. Consider this an opportunity to increase employer and customer confidence by proving you have the skills required to administrate real-world OpenStack clouds. You will begin your journey by getting well-versed with the OpenStack environment, understanding the benefits of taking the exam, and installing an included OpenStack all-in-one virtual appliance so you can work through objectives covered throughout the book. After exploring the basics of the individual services, you will be introduced to strategies to accomplish the exam objectives relevant to Keystone, Glance, Nova, Neutron, Cinder, Swift, Heat, and troubleshooting. Finally, you’ll benefit from the special tips section and a practice exam to put your knowledge to the test. By the end of the journey, you will be ready to become a Certified OpenStack Administrator! Style and approach Clear, concise, and straightforward with supporting diagrams and lab environment tutorials, this book will help you confidently pass Certified OpenStack Administrator objectives on the Horizon dashboard and command-line interface.

A practical book on real-world NGINX deployments to get you up and running quickly. About This Book ? Be the first to immerse yourself in the NGINX 1.9x web server and explore the plethora of advanced features. ? Master the skills of load balancing TCP-based applications and implementing HTTP/2. ? A recipe-based approach book that provides you with up-to-date information on NGINX, allowing you to implement specific use cases immediately. Who This Book Is For This book is aimed at smaller-to-medium developers, who are just getting started with NGINX. It assumes they already understand the basics of how a web server works and how basic networking works. What You Will Learn ? Practical, real-world examples and recipes on how to use NGINX ? Common CMS deployments such as WordPress, Joomla and more ? NGINX configurations for frameworks such as Ruby on Rails, Django and more ? Detailed SSL recipes, including HTTP/2 ? Real world rewrite examples ? Basic web and TCP load balancing configuration ? Bandwidth management and connection limiting ? Detailed NGINX deployment scen+BO377arios with Docker ? Performance tuning and monitoring of your NGINX deployments ? OpenResty deployment guides ? Advanced deployments with NGINX Plus features In Detail NGINX Cookbook covers the basics of configuring NGINX as a web server for use with common web frameworks such as WordPress and Ruby on Rails, through to utilization as a reverse proxy. Designed as a go-to reference guide, this book will give you practical answers based on real-world deployments to get you up and running quickly. Recipes have also been provided for multiple SSL configurations, different logging scenarios, practical rewrites, and multiple load balancing scenarios. Advanced topics include covering bandwidth management, Docker container usage, performance tuning, OpenResty, and the NGINX Plus commercial features. By the time you've read this book, you will be able to adapt and use a wide variety of NGINX implementations to solve any problems you have. Style and approach With practical, real-world examples and recipes on how to use NGINX, this go-to book will remain valid for many years. Included are detailed recipes that solve very specific and sometimes complicated user scenarios with NGINX. Readers will think "Ah, so that's how you do it!" after reading a chapter/sub-chapter. Each scenario in the book is thoroughly tested and validated, especially, when it comes to direct cut and paste code scenarios, where possible, we made test code available so that the reader can instantly see the system in action

Learn how to make Android development much faster using a variety of Kotlin features, from basics to advanced, to write better quality code. About This Book ? Leverage specific features of Kotlin to ease Android application development ? Write code based on both object oriented and functional programming to build robust applications ? Filled with various practical examples so you can easily apply your knowledge to real world scenarios ? Identify the improved way of dealing with common Java patterns Who This Book Is For This book is for developers who have a basic understanding of Java language and have 6-12 months of experience with Android development and developers who feel comfortable with OOP concepts. What You Will Learn ? Run a Kotlin application and understand the integration with Android Studio ? Incorporate Kotlin into new/existing Android Java based project ? Learn about Kotlin type system to deal with null safety and immutability ? Define various types of classes and deal with properties ? Define collections and transform them in functional way ? Define extensions, new behaviours to existing libraries and Android framework classes ? Use generic type variance modifiers to define subtyping relationship between generic types ? Build a sample application In Detail Nowadays, improved application development does not just mean building better performing applications. It has become crucial to find improved ways of writing code. Kotlin is a language that helps developers build amazing Android applications easily and effectively. This book discusses Kotlin features in context of Android development. It demonstrates how common examples that are typical for Android development, can be simplified using Kotlin. It also shows all the benefits, improvements and new possibilities provided by this language. The book is divided in three modules that show the power of Kotlin and teach you how to use it properly. Each module present features in different levels of advancement. The first module covers Kotlin basics. This module will lay a firm foundation for the rest of the chapters so you are able to read and understand most of the Kotlin code. The next module dives deeper into the building blocks of Kotlin, such as functions, classes, and function types. You will learn how Kotlin brings many improvements to the table by improving common Java concepts and decreasing code verbosity. The last module presents features that are not present in Java. You will learn how certain tasks can be achieved in simpler ways thanks to Kotlin. Through the book, you will learn how to use Kotlin for Android development. You will get to know and understand most important Kotlin features, and how they can be used. You will be ready to start your own adventure with Android development with Kotlin. Style and approach A step-by-step guide that is filled with numerous real-world examples.

Learn the art of configuring, deploying, managing and securing Windows 10 for your enterprise. About This Book ? Enhance your enterprise administration skills to manage Windows 10 Redstone 3 ? Get acquainted with configuring Azure Active Directory for enabling cloud-based services and Remote Server Admin Tools for managing Windows Server ? Provide enterprise-level security with ease using the built-in data loss prevention of Windows 10 Who This Book Is For If you are a system administrator who has been given the responsibility of administering and managing Windows 10 Redstone 3, then this book is for you. If you have deployed and managed previous versions of Windows, it would be an added advantage. What You Will Learn ? Understand the remote access capabilities ? Use third-party tools to deploy Windows 10 ? Customize image and user Interface experience ? Implement assigned access rights ? Configure remote administration ? Manage Windows 10 security ? Work with Azure AD and Intune management In Detail Microsoft’s launch of Windows 10 is a step toward satisfying the enterprise administrator’s needs for management and user experience customization. This book provides the enterprise administrator with the knowledge needed to fully utilize the advanced feature set of Windows 10 Enterprise. This practical guide shows Windows 10 from an administrator's point of view. You'll focus on areas such as installation and configuration techniques based on your enterprise requirements, various deployment scenarios and management strategies, and setting up and managing admin and other user accounts. You’ll see how to configure Remote Server Administration Tools to remotely manage Windows Server and Azure Active Directory. Lastly, you will learn modern Mobile Device Management for effective BYOD and how to enable enhanced data protection, system hardening, and enterprise-level security with the new Windows 10 in order to prevent data breaches and impede attacks. By the end of this book, you will know the key technologies and capabilities in Windows 10 and will confidently be able to manage and deploy these features in your organization. Style and approach This step-by-step guide will show you how to configure, deploy, manage, and secure the all new Windows 10 Redstone 3 for your enterprise.

Over 80 recipes to effectively test your network and boost your career in security About This Book ? Learn how to scan networks to find vulnerable computers and servers ? Hack into devices to control them, steal their data, and make them yours ? Target wireless networks, databases, and web servers, and password cracking to make the most of Kali Linux Who This Book Is For If you are looking to expand your career into penetration testing, you will need a good understanding of Kali Linux and the variety of tools it includes. This book will work as a perfect guide for anyone who wants to have a practical approach in leveraging penetration testing mechanisms using Kali Linux What You Will Learn ? Acquire the key skills of ethical hacking to perform penetration testing ? Learn how to perform network reconnaissance ? Discover vulnerabilities in hosts ? Attack vulnerabilities to take control of workstations and servers ? Understand password cracking to bypass security ? Learn how to hack into wireless networks ? Attack web and database servers to exfiltrate data ? Obfuscate your command and control connections to avoid firewall and IPS detection In Detail Kali Linux is a Linux distribution designed for penetration testing and security auditing. It is the successor to BackTrack, the world’s most popular penetration testing distribution. Kali Linux is the most widely used platform and toolkit for penetration testing. Security is currently the hottest field in technology with a projected need for millions of security professionals. This book focuses on enhancing your knowledge in Kali Linux for security by expanding your skills with toolkits and frameworks that can increase your value as a security professional. Kali Linux Cookbook, Second Edition starts by helping you install Kali Linux on different options available. You will also be able to understand the lab architecture and install a Windows host for use in the lab. Next, you will understand the concept of vulnerability analysis and look at the different types of exploits. The book will introduce you to the concept and psychology of Social Engineering and password cracking. You will then be able to use these skills to expand the scope of any breaches you create. Finally, the book will guide you in exploiting specific technologies and gaining access to other systems in the environment. By the end of this book, you will have gained the core knowledge and concepts of the penetration testing process. Style and approach This book teaches you everything you need to know about Kali Linux from the perspective of a penetration tester. It is filled with powerful recipes and practical examples that will help you gain in-depth knowledge of Kali Linux.

Over 60 recipes to help you learn digital forensics and leverage Python *s to amplify your examinations About This Book ? Develop code that extracts vital information from everyday forensic acquisitions. ? Increase the quality and efficiency of your forensic analysis. ? Leverage the latest resources and capabilities available to the forensic community. Who This Book Is For If you are a digital forensics examiner, cyber security specialist, or analyst at heart, understand the basics of Python, and want to take it to the next level, this is the book for you. Along the way, you will be introduced to a number of libraries suitable for parsing forensic artifacts. Readers will be able to use and build upon the *s we develop to elevate their analysis. What You Will Learn ? Understand how Python can enhance digital forensics and investigations ? Learn to access the contents of, and process, forensic evidence containers ? Explore malware through automated static analysis ? Extract and review message contents from a variety of email formats ? Add depth and context to discovered IP addresses and domains through various Application Program Interfaces (APIs) ? Delve into mobile forensics and recover deleted messages from SQLite databases ? Index large logs into a platform to better query and visualize datasets In Detail Technology plays an increasingly large role in our daily lives and shows no sign of stopping. Now, more than ever, it is paramount that an investigator develops programming expertise to deal with increasingly large datasets. By leveraging the Python recipes explored throughout this book, we make the complex simple, quickly extracting relevant information from large datasets. You will explore, develop, and deploy Python code and libraries to provide meaningful results that can be immediately applied to your investigations. Throughout the Python Digital Forensics Cookbook, recipes include topics such as working with forensic evidence containers, parsing mobile and desktop operating system artifacts, extracting embedded metadata from documents and executables, and identifying indicators of compromise. You will also learn to integrate *s with Application Program Interfaces (APIs) such as VirusTotal and PassiveTotal, and tools such as Axiom, Cellebrite, and EnCase. By the end of the book, you will have a sound understanding of Python and how you can use it to process artifacts in your investigations. Style and approach Our succinct recipes take a no-frills approach to solving common challenges faced in investigations. The code in this book covers a wide range of artifacts and data sources. These examples will help improve the accuracy and efficiency of your analysis—no matter the situation.

Administer, configure, and monitor Junos in your organization About This Book ? Get well acquainted with security and routing policies to identify the use of firewall filters. ? Learn to provide end-user authentication and protect each layer in an enterprise network. ? A recipe-based guide that will help you configure and monitor Junos OS and basic device operations. Who This Book Is For This book targets network engineers, developers, support personals, and administrators who are working on devices running Junos OS and are looking at automating their organisation's operations. Some understanding about Junos would be necessary What You Will Learn ? Start using NETCONF RPC standard and understand its usefulness in programming JUNOS ? Write SLAX *s to respond to events in the JUNOS environment ? Automate JUNOS with PyEZ ? Deal with events in the JUNOS environment, and writing response handlers to deal with them ? Make the most of automation technologies to help with maintenance and monitoring of JUNOS ? Use the Ansible framework to extend the automation functionality of Junos In Detail The JUNOS Automation Cookbook is a companion guide for the complex field of automating tasks on JUNOS devices. With a foundation in industry-standrd XML, JUNOS provides an ideal environment for programmatic interation, allowing you to build upon the capabilities provided by Juniper, with your own original code. You will begin by learning about, and setting up, the industry-standard NETCONF remote procedure call mechanisms on your device. After initial setup, you'll walk through SLAX - Juniper's foundation *ing language - for manipulating XML representations of JUNOS concepts and elements. You'll learn how to write your own SLAX *s to customise the operating environment, and also how to write proactive event handlers that deal with situations as they happen. You'll then delve into PyEZ - Juniper's bridging framework to make automation accessible to Python code - allowing you to build automation applications in the popular *ing language. You'll witness some examples of how to write applications that can monitor configuration changes, implement BGP security policies and implement ad-hoc routing protocols, for those really tricky situations. You'll also leaarn how asynchronous I/O frameworks like Node.js can be used to implement automation applications that present an acceptable web interface. Along with way, you'll explore how to make use of the latest RESTful APIs that JUNOS provides, how to visualize aspects of your JUNOS network, and how to integrate your automation capabilities with enterprise-wide orchestration systems like Ansible. By the end of the book, you'll be able to tackle JUNOS automation challenges with confidence and understanding, and without hassle. Style and Approach A guide that will cover all the automation tools along with steps on leveraging these tools

Incorporate the assembly language routines in your high level language applications About This Book ? Understand the Assembly programming concepts and the benefits of examining the AL codes generated from high level languages ? Learn to incorporate the assembly language routines in your high level language applications ? Understand how a CPU works when programming in high level languages Who This Book Is For This book is for developers who would like to learn about Assembly language. Prior programming knowledge of C and C++ is assumed. What You Will Learn ? Obtain deeper understanding of the underlying platform ? Understand binary arithmetic and logic operations ? Create elegant and efficient code in Assembly language ? Understand how to link Assembly code to outer world ? Obtain in-depth understanding of relevant internal mechanisms of Intel CPU ? Write stable, efficient and elegant patches for running processes In Detail The Assembly language is the lowest level human readable programming language on any platform. Knowing the way things are on the Assembly level will help developers design their code in a much more elegant and efficient way. It may be produced by compiling source code from a high-level programming language (such as C/C++) but can also be written from scratch. Assembly code can be converted to machine code using an assembler. The first section of the book starts with setting up the development environment on Windows and Linux, mentioning most common toolchains. The reader is led through the basic structure of CPU and memory, and is presented the most important Assembly instructions through examples for both Windows and Linux, 32 and 64 bits. Then the reader would understand how high level languages are translated into Assembly and then compiled into object code. Finally we will cover patching existing code, either legacy code without sources or a running code in same or remote process. Style and approach This book takes a step-by-step, detailed approach to Comprehensively learning Assembly Programming.

This book breaks down the C++ STL, teaching you how to extract its gems and apply them to your programming. About This Book ? Boost your productivity as a C++ developer with the latest features of C++17 ? Develop high-quality, fast, and portable applications with the varied features of the STL ? Migrate from older versions (C++11, C++14) to C++17 Who This Book Is For This book is for developers who would like to master the C++ STL and make full use of its components. Prior C++ knowledge is assumed. What You Will Learn ? Make your own iterator types, allocators, and thread pools. ? Master every standard container and every standard algorithm. ? Improve your code by replacing new/delete with smart pointers. ? Understand the difference between monomorphic algorithms, polymorphic algorithms, and generic algorithms. ? Learn the meaning and applications of vocabulary type, product type and sum type. In Detail Modern C++ has come a long way since 2011. The latest update, C++17, has just been ratified and several implementations are on the way. This book is your guide to the C++ standard library, including the very latest C++17 features. The book starts by exploring the C++ Standard Template Library in depth. You will learn the key differences between classical polymorphism and generic programming, the foundation of the STL. You will also learn how to use the various algorithms and containers in the STL to suit your programming needs. The next module delves into the tools of modern C++. Here you will learn about algebraic types such as std::optional, vocabulary types such as std::function, smart pointers, and synchronization primitives such as std::atomic and std::mutex. In the final module, you will learn about C++'s support for regular expressions and file I/O. By the end of the book you will be proficient in using the C++17 standard library to implement real programs, and you'll have gained a solid understanding of the library's own internals. Style and approach This book takes a concise but comprehensive approach to explaining and applying the C++ STL, one feature at a time.

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

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

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

Become a pro with the latest Android SDK and create state of the art applications for Android. About This Book ? Dive deep into Android development with practical hands on examples to help you in each stage. ? Develop smart professional grade apps for the latest Android N version and become a pro android developer. ? Unclog your development highway by utilising the industry standard best practices techniques. Who This Book Is For This book is for mobile developers having some expertise in building android apps and who wish to now take a leap into building complex app such as Zomato, using latest Android N power of Google. What You Will Learn ? Building UI/UX following best industry practices ? Development of Zomato Clone ? Measure and improve app performance ? Improving app using test mechanisms ? Bringing the app live on the play store In Detail Android O brings a number of important changes for the users as well as the developers. If you want to create smart android applications which are fast, lightweight and also highly efficient then this is the book that will solve all your problems. You will create a complex enterprise grade app in this book. You will get a quick refresher of the latest android SDK and how to configure your development environment. Then you will move onto creating app layouts, component and module building, creating smart and efficient UIs. The most important part of a modern day app is how real time they are. With this book, you will create a smooth back-end for your app, ensure dynamic and real time communication between different app layers. As we move on, you will learn to leverage the different Android APIs and create an efficient SQLite data layer for your apps. You will implement effective testing techniques to make your app reliable and robust and finally you will learn to deploy it efficiently. The multiple stages of android development will also be simplified by giving you an industry standard set of best practices. Style and approach This book will have a dedicated practical tutorial style approach with focus on professional & enterprise grade android app development. The examples in each chapter will be modular and will also help you to create a complete fully fueatured android app by the end of the book.

Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key Features * Explore popular machine learning and deep learning services with their underlying algorithms * Discover readily available artificial intelligence(AI) APIs on AWS like Vision and Language Services * Design robust architectures to enable experimentation, extensibility, and maintainability of AI apps Book Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learn * Gain useful insights into different machine and deep learning models * Build and deploy robust deep learning systems to production * Train machine and deep learning models with diverse infrastructure specifications * Scale AI apps without dealing with the complexity of managing the underlying infrastructure * Monitor and Manage AI experiments efficiently * Create AI apps using AWS pre-trained AI services Who this book is for This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.