Build cloud native applications in Python About This Book ? This is the only reliable resource that showcases the tools and techniques you need build robust and resilient cloud native applications in Python ? Learn how to architect your application on both, the AWS and Azure clouds for high availability ? Assess, monitor, and troubleshoot your applications in the cloud Who This Book Is For This book is ideal for developers with a basic knowledge of Python who want to learn to build, test, and scale their Python-based applications. No prior experience of writing microservices in Python is required. What You Will Learn ? Get to know “the way of the cloud”, including why developing good cloud software is fundamentally about mindset and discipline ? Know what microservices are and how to design them ? Create reactive applications in the cloud with third-party messaging providers ? Build massive-scale, user-friendly GUIs with React and Flux ? Secure cloud-based web applications: the do’s, don’ts, and options ? Plan cloud apps that support continuous delivery and deployment In Detail Businesses today are evolving so rapidly that having their own infrastructure to support their expansion is not feasible. As a result, they have been resorting to the elasticity of the cloud to provide a platform to build and deploy their highly scalable applications. This book will be the one stop for you to learn all about building cloud-native architectures in Python. It will begin by introducing you to cloud-native architecture and will help break it down for you. Then you’ll learn how to build microservices in Python using REST APIs in an event driven approach and you will build the web layer. Next, you’ll learn about Interacting data services and building Web views with React, after which we will take a detailed look at application security and performance. Then, you’ll also learn how to Dockerize your services. And finally, you’ll learn how to deploy the application on the AWS and Azure platforms. We will end the book by discussing some concepts and techniques around troubleshooting problems that might occur with your applications after you’ve deployed them. This book will teach you how to craft applications that are built as small standard units, using all the proven best practices and avoiding the usual traps. It's a practical book: we're going to build everything using Python 3 and its amazing tooling ecosystem. The book will take you on a journey, the destination of which, is the creation of a complete Python application based on microservices over the cloud platform Style and approach Filled with examples, this book takes a step-by-step approach to teach you each and every configuration you need to make your application highly available and fault tolerant.

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book ? Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. ? Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. ? Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn ? Acquaint yourself with important elements of Machine Learning ? Understand the feature selection and feature engineering process ? Assess performance and error trade-offs for Linear Regression ? Build a data model and understand how it works by using different types of algorithm ? Learn to tune the parameters of Support Vector machines ? Implement clusters to a dataset ? Explore the concept of Natural Processing Language and Recommendation Systems ? Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, TensorFlow, and Feature engineering. In this book you will also learn how these algorithms work and their practical implementation to resolve your problems. This book will also introduce you to the Natural Processing Language and Recommendation systems, which help you run multiple algorithms simultaneously. On completion of the book you will have mastered selecting Machine Learning algorithms for clustering, classification, or regression based on for your problem. Style and approach An easy-to-follow, step-by-step guide that will help you get to grips with real -world applications of Algorithms for Machine Learning.

Break through the hype and learn how to extract actionable intelligence from the flood of IoT data About This Book ? Make better business decisions and acquire greater control of your IoT infrastructure ? Learn techniques to solve unique problems associated with IoT and examine and analyze data from your IoT devices ? Uncover the business potential generated by data from IoT devices and bring down business costs Who This Book Is For This book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful What You Will Learn ? Overcome the challenges IoT data brings to analytics ? Understand the variety of transmission protocols for IoT along with their strengths and weaknesses ? Learn how data flows from the IoT device to the final data set ? Develop techniques to wring value from IoT data ? Apply geospatial analytics to IoT data ? Use machine learning as a predictive method on IoT data ? Implement best strategies to get the most from IoT analytics ? Master the economics of IoT analytics in order to optimize business value In Detail We start with the perplexing task of extracting value from huge amounts of barely intelligible data. The data takes a convoluted route just to be on the servers for analysis, but insights can emerge through visualization and statistical modeling techniques. You will learn to extract value from IoT big data using multiple analytic techniques. Next we review how IoT devices generate data and how the information travels over networks. You’ll get to know strategies to collect and store the data to optimize the potential for analytics, and strategies to handle data quality concerns. Cloud resources are a great match for IoT analytics, so Amazon Web Services, Microsoft Azure, and PTC ThingWorx are reviewed in detail next. Geospatial analytics is then introduced as a way to leverage location information. Combining IoT data with environmental data is also discussed as a way to enhance predictive capability. We’ll also review the economics of IoT analytics and you’ll discover ways to optimize business value. By the end of the book, you’ll know how to handle scale for both data storage and analytics, how Apache Spark can be leveraged to handle scalability, and how R and Python can be used for analytic modeling. Style and approach This book follows a step-by-step, practical approach to combine the power of analytics and IoT and help you get results quickly

Solve real world problems using Regex in Java. About This Book ? Discover regular expressions and how they work ? Implement regular expressions with Java to your code base ? Learn to use regular expressions in emails, URLs, paths, and IP addresses Who This Book Is For This book is for Java developers who would like to understand and use regular expressions. A basic knowledge of Java is assumed. What You Will Learn ? Understand the semantics, rules, and core concepts of writing Java code involving regular expressions ? Learn about the java.util.Regex package using the Pattern class, Matcher class, code snippets, and more ? Match and capture text in regex and use back-references to the captured groups ? Explore Regex using Java String methods and regex capabilities in the Java Scanner API ? Use zero-width assertions and lookarounds in regex ? Test and optimize a poorly performing regex and various other performance tips In Detail Regular expressions are a powerful tool in the programmer's toolbox and allow pattern matching. They are also used for manipulating text and data. This book will provide you with the know-how (and practical examples) to solve real-world problems using regex in Java. You will begin by discovering what regular expressions are and how they work with Java. This easy-to-follow guide is a great place from which to familiarize yourself with the core concepts of regular expressions and to master its implementation with the features of Java 9. You will learn how to match, extract, and transform text by matching specific words, characters, and patterns. You will learn when and where to apply the methods for finding patterns in digits, letters, Unicode characters, and string literals. Going forward, you will learn to use zero-length assertions and lookarounds, parsing the source code, and processing the log files. Finally, you will master tips, tricks, and best practices in regex with Java. Style and approach This book will take readers through this learning journey using simple, easy-to-understand, step-by-step instructions and hands-on examples at every stage.

Over 30 recipes to automate your mission-critical tasks using the new and powerful Microsoft System Center 2016 Orchestrator About This Book ? Create powerful runbooks for the entire System Center 2016 product line ? Explore System Center 2016 Orchestrator to manage and automate your datacenter ? A recipe-based guide to using SCO efficiently Who This Book Is For If you are a system administrator and want to simplify the process of automating system administration tasks using System Center Orchestrator 2016 then this book is for you. A basic knowledge of SCO is expected What You Will Learn ? Create Runbooks for IT Service Management processes ? Design and create Runbooks for System Center Confguration Manager and Virtual Machine Manager ? Set up System Center Orchestrator, making it highly available ? Create branching, looping, and child Runbooks to completely master System Center 2016 Orchestrator ? Implement a security model for your System Center Orchestrator deployment and to execute Runbooks ? Manage and automate your Datacenter with powerful Runbooks ? Automate your System Center environment In Detail With Microsoft System Center 2016 Orchestrator Cookbook, you will start by learning how to efficiently install and secure System Center Orchestrator. You will then learn how you can create configuration files for SCO 2016. After initial installation and configuration, you will soon be planning and creating functional and fault-tolerant System Center runbooks to automate daily tasks and routine operations. Next you will delve into runbooks; you will learn how to create powerful and advanced runbooks such as Building your Runbook without a Dead End. You will also learn to create simple and advanced runbooks for your daily tasks. Towards the end of the book, you will learn to use SCO for other interesting tasks and also learn to maintain and perform SCO health checks. By the end of the book, you will be able to automate your administrative tasks successfully with SCO. Style and approach This book is written in a practical, cookbook style with numerous chapters and recipes focusing on creating runbooks to automate mission-critical and everyday administration tasks.

Build a variety of real-world applications by taking advantage of the newest features of Java 9 About This Book ? See some of the new features of Java 9 and be introduced to parts of the Java SDK ? This book provides a set of diverse, interesting projects that range in complexity from fairly simple to advanced and cover HTTP 2.0 ? Take advantage of Java's new modularity features to write real-world applications that solve a variety of problems Who This Book Is For This book is for Java developers who are already familiar with the language. Familiarity with more advanced topics, such as network programming and threads, would be helpful, but is not assumed. What You Will Learn ? Learn how to package Java applications as modules by using the Java Platform Module System ? Implement process management in Java by using the all-new process handling API ? Integrate your applications with third-party services in the cloud ? Interact with mail servers using JavaMail to build an application that filters spam messages ? Learn to use JavaFX to build rich GUI based applications, which are an essential element of application development ? Write microservices in Java using platform libraries and third-party frameworks ? Integrate a Java application with MongoDB to build a cloud-based note taking application In Detail Java is a powerful language that has applications in a wide variety of fields. From playing games on your computer to performing banking transactions, Java is at the heart of everything. The book starts by unveiling the new features of Java 9 and quickly walks you through the building blocks that form the basis of writing applications. There are 10 comprehensive projects in the book that will showcase the various features of Java 9. You will learn to build an email filter that separates spam messages from all your inboxes, a social media aggregator app that will help you efficiently track various feeds, and a microservice for a client/server note application, to name a few. The book covers various libraries and frameworks in these projects, and also introduces a few more frameworks that complement and extend the Java SDK. Through the course of building applications, this book will not only help you get to grips with the various features of Java 9, but will also teach you how to design and prototype professional-grade applications with performance and security considerations. Style and approach This is a learn-as-you-build practical guide to building full-fledged applications using Java 9. With a project-based approach, we’ll improve your Java skills. You will experience a variety of solutions to problems with Java.

Unleash the power of PrimeNG components to design compelling user interface for your Angular applications About This Book ? Detailed insights into PrimeNG concepts, components and features with examples to help you make excellent User Interfaces for Angular web apps. ? Get familiar with themes, layouts and customization in real world applications. ? Develop Angular applications rapidly using advance tools and standards with best practices. Who This Book Is For This book is for everybody who would like to learn or create modern Angular based single page applications using PrimeNG component library. This book is a good choice for beginners to advanced users who are serious to learn modern Angular applications. The prerequisites for this book are some basic knowledge on the Angular 2+ version with TypeScript and CSS skills. What You Will Learn ? Setup PrimeNG projects with SystemJS, Webpack, and Angular CLI. ? Use theming concepts and layouts with grid systems and Bootstrap. ? Work with enhanced input, select, button and panel components. ? Apply countless DataTable features: sorting, filtering, grouping, and templating. ? Meet data iteration components: DataList, DataGrid, Tree, and so on. ? Build endless menu variations: SlideMenu, TieredMenu, MegaMenu, and so on. ? Visualize your data representations with PrimeNG charts and GMap components. ? Adopt best practices such as state management with @ngrx/store. ? Write unit and end-to-end tests with Jasmine, Karma, and Protractor. In Detail PrimeNG is a leading UI component library for Angular applications with 80+ rich UI components. PrimeNG was a huge success in the Angular world and very quickly. It is a rapidly evolving library that is aligned with the last Angular release. In comparison with competitors, PrimeNG was created with enterprise applications in mind. This book provides a head-start to help readers develop real–world, single-page applications using the popular development stack. This book consists of 10 chapters and starts with a short introduction to single-page applications. TypeScript and Angular fundamentals are important first steps for subsequent PrimeNG topics. Later we discuss how to set up and configure a PrimeNG application in different ways as a kick-start. Once the environment is ready then it is time to learn PrimeNG development, starting from theming concepts and responsive layouts. Readers will learn enhanced input, select, button components followed by the various panels, data iteration, overlays, messages and menu components. The validation of form elements will be covered too. An extra chapter demonstrates how to create map and chart components for real-world applications. Apart from built-in UI components and their features, the readers will learn how to customize components to meet their requirements. Miscellaneous use cases are discussed in a separate chapter, including: file uploading, drag and drop, blocking page pieces during AJAX calls, CRUD sample implementations, and more. This chapter goes beyond common topics, implements a custom component, and discusses a popular state management with @ngrx/store. The final chapter describes unit and end-to-end testing. To make sure Angular and PrimeNG development are flawless, we explain full-fledged testing frameworks with systematic examples. Tips for speeding up unit testing and debugging Angular applications end this book. The book is also focused on how to avoid some common pitfalls, and shows best practices with tips and tricks for efficient Angular and PrimeNG development. At the end of this book, the readers will know the ins and outs of how to use PrimeNG in Angular applications and will be ready to create real- world Angular applications using rich PrimeNG components. Style and approach Step-by-step practical approach

Get proficient in building beautiful and appealing mobile interfaces (UI) with this complete mobile user experience (UX) design guide. About This Book ? Quickly explore innovative design solutions based on the real needs of your users. ? Create low and high fidelity prototypes using some of the best tools. ? Master a pragmatic design process to create successful products. ? Plan an app design from scratch to final test, with real users. Who This Book Is For This book is for designers, developers and product managers interested in creating successful apps. Readers will be provided with a process to produce, test and improve designs based on best practices. What You Will Learn ? Plan an app design from scratch to final test, with real users. ? Learn from leading companies and find working patterns. ? Apply best UX design practices to your design process. ? Create low and high fidelity prototypes using some of the best tools. ? Follow a step by step examples for Tumult Hype and Framer Studio. ? Test your designs with real users, early in the process. ? Integrate the UX Designer profile into a working team. In Detail User experience (UX) design provides techniques to analyze the real needs of your users and respond to them with products that are delightful to use. This requires you to think differently compared to traditional development processes, but also to act differently. In this book, you will be introduced to a pragmatic approach to exploring and creating mobile app solutions, reducing risks and saving time during their construction. This book will show you a working process to quickly iterate product ideas with low and high fidelity prototypes, based on professional tools from different software brands. You will be able to quickly test your ideas early in the process with the most adequate prototyping approach. You will understand the pros and cons of each approach, when you should use each of them, and what you can learn in each step of the testing process. You will also explore basic testing approaches and some more advanced techniques to connect and learn from your users. Each chapter will focus on one of the general steps needed to design a successful product according to the organization goals and the user needs. To achieve this, the book will provide detailed hands-on pragmatic techniques to design innovative and easy to use products. You will learn how to test your ideas in the early steps of the design process, picking up the best ideas that truly work with your users, rethinking those that need further refinement, and discarding those that don’t work properly in tests made with real users. By the end of the book, you will learn how to start exploring and testing your design ideas, regardless the size of the design budget. Style and approach A quick and simple guide to design and test a mobile application from the UX design point of view

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.

Scale gracefully and maintain outstanding performance with your AWS-based infrastructure using DevOps principles About This Book ? Implement DevOps principles to take full advantage of the AWS stack and services ? Take expert look at solving problems faced by real developers and operation teams and learn to overcome them ? Learn from expert insights of the author who has worked with Silicon Valley’s most high-profile companies Who This Book Is For This book is for developers, DevOps engineers and teams who want to build and use AWS for their software infrastructure. Basic computer science knowledge is required for this book. What You Will Learn ? Find out what it means to practice DevOps and what its principles are ? Build repeatable infrastructures using templates and configuration management ? Deploy multiple times a day by implementing continuous integration and continuous deployment pipelines ? Use the latest technologies, including containers and serverless computing, to scale your infrastructure ? Collect metrics and logs and implement an alerting strategy ? Make your system robust and secure In Detail The DevOps movement has transformed the way modern tech companies work. AWS which has been on the forefront of the Cloud computing revolution has also been a key contributor of this DevOps movement creating a huge range of managed services that help you implement the DevOps principles. In this book, you’ll see how the most successful tech start-ups launch and scale their services on AWS and how you can too. Written by a lead member of Mediums DevOps team, this book explains how to treat infrastructure as code, meaning you can bring resources online and offline as necessary with the code as easily as you control your software. You will also build a continuous integration and continuous deployment pipeline to keep your app up to date. You’ll find out how to scale your applications to offer maximum performance to users anywhere in the world, even when traffic spikes with the latest technologies, such as containers and serverless computing. You will also take a deep dive into monitoring and alerting to make sure your users have the best experience when using your service. Finally, you’ll get to grips with ensuring the security of your platform and data. Style and approach This is a practical, hands-on, comprehensive guide to AWS, helping readers understand AWS in a step by step manner.

Learn the ins and outs of the Industrial Internet of Things through subjects ranging from its history and evolution, right up to what the future holds. About This Book ? Define solutions that can connect existing systems and newer cloud-based solutions to thousands of thousands of edge devices and industrial machines ? Identify, define, and justify Industrial Internet of Things (IIoT) projects, and design an application that can connect to and control thousands of machines ? Leverage the power and features of a platform to monitor, perform analytics, and maintain the Industrial Internet Who This Book Is For Architects who are interested in learning how to define solutions for the Industrial Internet will benefit immensely from this book. Relevant architect roles include enterprise architects, business architects, information architects, cloud solution architects, software architects, and others. The content is also relevant for technically inclined line of business leaders investing in these solutions. What You Will Learn ? Learn the history of the Industrial Internet and why an architectural approach is needed ? Define solutions that can connect to and control thousands of edge devices and machines ? Understand the significance of working with line of business leadership and key metrics to be gathered ? Connect business requirements to the functional architecture ? Gain the right expectation as to the capabilities of Industrial Internet applications and how to assess them ? Understand what data and analytics components should be included in your architecture solution ? Understand deployment trade-offs, management and security considerations, and the impact of emerging technologies In Detail The Industrial Internet or the IIoT has gained a lot of traction. Many leading companies are driving this revolution by connecting smart edge devices to cloud-based analysis platforms and solving their business challenges in new ways. To ensure a smooth integration of such machines and devices, sound architecture strategies based on accepted principles, best practices, and lessons learned must be applied. This book begins by providing a bird's eye view of what the IIoT is and how the industrial revolution has evolved into embracing this technology. It then describes architectural approaches for success, gathering business requirements, and mapping requirements into functional solutions. In a later chapter, many other potential use cases are introduced including those in manufacturing and specific examples in predictive maintenance, asset tracking and handling, and environmental impact and abatement. The book concludes by exploring evolving technologies that will impact IIoT architecture in the future and discusses possible societal implications of the Industrial Internet and perceptions regarding these projects. By the end of this book, you will be better equipped to embrace the benefits of the burgeoning IIoT. Style and approach This book takes a comprehensive approach to the Industrial Internet, thoroughly acquainting the reader with the concepts and philosophy of the IIoT. It provides a basis for defining an IIoT solution in a thoughtful manner and creating what will be viewed as a successful project.

Learning the new system’s programming language for all Unix-type systems About This Book ? Learn how to write system's level code in Golang, similar to Unix/Linux systems code ? Ramp up in Go quickly ? Deep dive into Goroutines and Go concurrency to be able to take advantage of Go server-level constructs Who This Book Is For Intermediate Linux and general Unix programmers. Network programmers from beginners to advanced practitioners. C and C++ programmers interested in different approaches to concurrency and Linux systems programming. What You Will Learn ? Explore the Go language from the standpoint of a developer conversant with Unix, Linux, and so on ? Understand Goroutines, the lightweight threads used for systems and concurrent applications ? Learn how to translate Unix and Linux systems code in C to Golang code ? How to write fast and lightweight server code ? Dive into concurrency with Go ? Write low-level networking code In Detail Go is the new systems programming language for Linux and Unix systems. It is also the language in which some of the most prominent cloud-level systems have been written, such as Docker. Where C programmers used to rule, Go programmers are in demand to write highly optimized systems programming code. Created by some of the original designers of C and Unix, Go expands the systems programmers toolkit and adds a mature, clear programming language. Traditional system applications become easier to write since pointers are not relevant and garbage collection has taken away the most problematic area for low-level systems code: memory management. This book opens up the world of high-performance Unix system applications to the beginning Go programmer. It does not get stuck on single systems or even system types, but tries to expand the original teachings from Unix system level programming to all types of servers, the cloud, and the web. Style and approach This is the first book to introduce Linux and Unix systems programming in Go, a field for which Go has actually been developed in the first place.

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.

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

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

More than 80 recipes to help you leverage the various extensibility features available for Microsoft Dynamics and solve problems easily About This Book ? Customize, configure, and extend the vanilla features of Dynamics 365 to deliver bespoke CRM solutions fit for any organization ? Implement business logic using point-and-click configuration, plugins, and client-side *s with MS Dynamics 365 ? Built a DevOps pipeline as well as Integrate Dynamics 365 with Azure and other platforms Who This Book Is For This book is for developers, administrators, consultants, and power users who want to learn about best practices when extending Dynamics 365 for enterprises. You are expected to have a basic understand of the Dynamics CRM/365 platform. What You Will Learn ? Customize, configure, and extend Microsoft Dynamics 365 ? Create business process automation ? Develop client-side extensions to add features to the Dynamics 365 user interface ? Set up a security model to securely manage data with Dynamics 365 ? Develop and deploy clean code plugins to implement a wide range of custom behaviors ? Use third-party applications, tools, and patterns to integrate Dynamics 365 with other platforms ? Integrate with Azure, Java, SSIS, PowerBI, and Octopus Deploy ? Build an end-to-end DevOps pipeline for Dynamics 365 In Detail Microsoft Dynamics 365 is a powerful tool. It has many unique features that empower organisations to bridge common business challenges and technology pitfalls that would usually hinder the adoption of a CRM solution. This book sets out to enable you to harness the power of Dynamics 365 and cater to your unique circumstances. We start this book with a no-code configuration chapter and explain the schema, fields, and forms modeling techniques. We then move on to server-side and client-side custom code extensions. Next, you will see how best to integrate Dynamics 365 in a DevOps pipeline to package and deploy your extensions to the various SDLC environments. This book also covers modern libraries and integration patterns that can be used with Dynamics 365 (Angular, 3 tiers, and many others). Finally, we end by highlighting some of the powerful extensions available. Throughout we explain a range of design patterns and techniques that can be used to enhance your code quality; the aim is that you will learn to write enterprise-scale quality code. Style and approach This book takes a recipe-based approach, delivering practical examples and use cases so that you can identify the best possible approach to extend your Dynamics 365 deployment and tackle your specific business problems.

Start pulling the strings of your IT infrastructure effectively with Puppet – learn how to configure, customize and manage your systems more intelligently in an enterprise deployment. About This Book ? Step-by-step instructions to jump start your Puppet deployment and automate your IT configurations ? Design, implement, and deploy Puppet in your infrastructure and tackle everyday IT infrastructure challenges ? Gain expert understanding of Puppet's latest and most advanced features Who This Book Is For If you're an experienced IT professional and a new Puppet user, this course will provide you with all you need to know to go from installation to advanced automation. What You Will Learn ? Write and employ individual Puppet manifests ? Understand how Puppet implements system abstraction ? Use Puppet to manage network, cloud, and virtualization devices ? Manage and test the Puppet code workflow ? Tweak, hack, and adapt the Puppet extension points ? Use exported resources to orchestrate change between machines ? Debug a puppetserver using Java techniques In Detail Puppet is a configuration management tool that allows you to automate all your IT configurations, giving you control. It was written for and by system administrators to manage large numbers of systems efficiently and prevent configuration drifts. Puppet gives you control of what you do to each node, when you do it, and how you do it.This Learning Path will take you from the basics of Puppet to extending it and then mastering it. We will start off with a primer on Puppet, its installation and get a sneak peek under its hood. We will then move on to designing and deploying your Puppet architecture, learning best practices for writing reusable and maintainable code, and executing, testing, and deploying Puppet across your systems. Finally, we will deal with problems of scale and exceptions in your code, automate workflows, and support multiple developers working simultaneously.This course is based on the following books: 1. Puppet 4 Essentials - Second Edition 2. Extending Puppet - Second Edition 3. Mastering Puppet - Second Edition Style and approach This learning path follows a practical approach, starting from the basic commands to advanced aspects. Through a series of examples you will learn the most important skills essential to manage your IT infrastructure effectively.