Learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics. It might just transform your organization About This Book Create stylish visualizations and dashboards that explain complexity with clarity Learn effective data storytelling to transform how your business uses ideas and makes decisions Explore all the new features in Tableau 10 and start to redefine what business analytics means to your organization Who This Book Is For Got dataNot sure what to make of itThis is the guide for you – whether you’ve been working with Tableau for years or are just beginning your adventure into business analytics. What You Will Learn Find out how to build effective visualizations and dashboards Prepare and clean your data so you can be sure Tableau is finding answers to your questions – not raising more problems Discover how to create advanced visualizations that explain complexity with clarity and style Dig deeper into your data with clustering and distribution models that allow you to analyze trends and make forecasts Learn how to use data storytelling to aid decision-making and strategy Share dashboards and visualizations to cultivate a culture where data is available and valued In Detail Tableau has for some time been one of the most popular Business Intelligence and data visualization tools available. WhyBecause, quite simply, it’s a tool that’s responsive to the needs of modern businesses. But it’s most effective when you know how to get what you want from it – it might make your business intelligent, but it isn’t going to make you intelligent… We’ll make sure you’re well prepared to take full advantage of Tableau 10’s new features. Whether you’re an experienced data analyst that wants to explore 2016’s new Tableau, or you’re a beginner that wants to expand their skillset and bring a more professional and sharper approach to their organization, we’ve got you covered. Beginning with the fundamentals, such as data preparation, you’ll soon learn how to build and customize your own data visualizations and dashboards, essential for high-level visibility and effective data storytelling. You’ll also find out how to so trend analysis and forecasting using clustering and distribution models to inform your analytics. But it’s not just about you – when it comes to data it’s all about availability and access. That’s why we’ll show you how to share your Tableau visualizations. It’s only once insights are shared and communicated that you – and your organization – will start making smarter and informed decisions. And really, that’s exactly what this guide is for. Style and approach Practical yet comprehensive, this Tableau guide takes you from the fundamentals of the tool before diving deeper into creating advanced visualizations. Covering the latest features found in Tableau 10, this might be the guide that transforms your organization.

Filled with practical, step-by-step instructions and clear explanations for the most important and useful tasks. This short, instruction-based guide shows you how to perform application integration using the industry standard Enterprise Integration Patterns.This book is intended for Java developers who are new to Apache Camel and message- oriented applications.

This book is designed for Python 2 developers who want to get to grips with Python 3 in a short period of time. It covers the key features of Python, assuming you are familiar with the fundamentals of Python 2.

Explore Qt framework and APIs for building cross-platform applications for mobile devices, embedded systems, and IoT Key Features * Build cross-platform applications and deploy them across mobile and connected devices * Design 2D and 3D UIs for embedded systems using Yocto and Qt Creator * Build machine to machine automation solution using QtSensors, QtMQTT, and QtWebSockets Book Description Qt is a world-class framework, helping you to develop rich graphical user interfaces (GUIs) and multi-platform applications that run on all major desktop platforms and most mobile or embedded platforms. The framework helps you connect the dots across platforms and between online and physical experience. This book will help you leverage the fully-featured Qt framework and its modular cross-platform library classes and intuitive APIs to develop applications for mobile, IoT, and industrial embedded systems. Considerations such as screen size, device orientation changes, and small memory will be discussed. We will focus on various core aspects of embedded and mobile systems, such as connectivity, networking, and sensors; there is no IoT without sensors. You will learn how to quickly design a flexible, fast, and responsive UI that looks great. Going further, you will implement different elements in a matter of minutes and synchronize the UI elements with the 3D assets with high precision. You will learn how to create high-performance embedded systems with 3D/2D user interfaces, and deploy and test on your target hardware. The book will explore several new features, including Qt for WebAssembly. At the end of this book, you will learn about creating a full software stack for embedded Linux systems using Yocto and Boot to Qt for Device Creation. What you will learn * Explore the latest features of Qt, such as preview for Qt for Python and Qt for WebAssembly * Create fluid UIs with a dynamic layout for different sized screens * Deploy embedded applications on Linux systems using Yocto * Design Qt APIs for building applications for embedded and mobile devices * Utilize connectivity for networked and machine automated applications * Discover effective techniques to apply graphical effects using Qt Quick apps Who this book is for The book is ideal for mobile developers, embedded systems engineers and enthusiasts who are interested in building cross-platform applications with Qt. Prior knowledge of C++ is required.

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing. Key Features *Clear and concise explanations *Gives important insights into deep learning models *Practical demonstration of key concepts Book Description PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to predict text. By the end of this book, you will be familiar with PyTorch's capabilities and be able to utilize the library to train your neural networks with relative ease. What you will learn *Set up the deep learning environment using the PyTorch library *Learn to build a deep learning model for image classification *Use a convolutional neural network for transfer learning *Understand to use PyTorch for natural language processing *Use a recurrent neural network to classify text *Understand how to optimize PyTorch in multiprocessor and distributed environments *Train, optimize, and deploy your neural networks for maximum accuracy and performance *Learn to deploy production-ready models Who this book is for Developers and Data Scientist familiar with Machine Learning but new to deep learning, or existing practitioners of deep learning who would like to use PyTorch to train their deep learning models will find this book to be useful. Having knowledge of Python programming will be an added advantage, while previous exposure to PyTorch is not needed.

A fast-paced guide to get you up and running with Swift 3 and its new featuresAbout This Book·Get up to date with the latest changes to Swift 3·Make your life easier by knowing how to port your Swift code to the latest version·Learn how to write programs that work on most of the major platforms such as iOS and LinuxWho This Book Is ForThe book is for those who are familiar with Swift but are in need of clear guidance on what's changed in the latest version and the new features.What You Will Learn·Migrate a Swift 2.2 project to Swift 3·Understand the workings of Swift Package Manager·Interact with Cocoa libraries when importing Objective C to Swift·Explore the function and operator changes new in Swift 3·Work with the advanced type changes, attribute improvements, and floating point type improvements in Swift·Discover the changes in the Swift API and see how Objective-C can be manipulated in the current API·Implement the new features central to Swift Testing and understand the new debug features·Create server-side applications using Swift 3In DetailSince Swift was introduced by Apple in WWDC 2015, it has gone on to become one of the most beloved languages to develop iOS applications with. In the new version, the Swift team aimed to take its adoption to the next level by making it available for new platforms and audiences.This book will very quickly get you up to speed and productive with Swift 3. You will begin by understanding the process of submitting new feature requests for future versions of Swift. Swift 3 allows you to develop and run your applications on a Linux machine. Using this feature, you will write your first Linux application using the debugger in Linux. Using Swift migrator, you will initiate a conversion from Swift 2.2 to Swift 3.Further on, you will learn how to interact with Cocoa libraries when importing Objective C to Swift. You will explore the function and operator changes new to Swift 3, followed by Collection and Closure changes. You will also see the changes in Swift 3 that allow you write tests easier with XCTest and debug your running code better with new formats as well. Finally, you will have a running server written completely in Swift on a Linux box.By the end of the book, you will know everything you need to know to dive into Swift 3 and build successful projects.Style and approachThe book takes a tutorial-based approach offering an overview of the new features introduced in the latest version of Swift. It includes relevant examples of how code and concepts change when it comes to working on Swift 3 compared to previous versions.

Unlock the power of the MEAN stack by creating attractive and real-world projectsAbout This Book·Build six optimum end-to-end web applications using the M.E.A.N stack·Follow the advanced Angular.js 2 application structure to build more scalable and maintainable apps·Integrate an authorization system into your application and reuse existing code from projectsWho This Book Is ForIf you are a web developer with a basic understanding of the MEAN stack, experience in developing applications with JavaScript, and basic experience with NoSQL databases, then this book is for you.What You Will Learn·Build modern, end-to-end web applications by employing the full stack web development solution of MEAN·Learn NoSQL databases and separate the client logic from the server code·Build a complex application from start to finish and work with monetary data in MongoDB·Handle a multi-user type system and authorize your users to access control list·Implement a chat application from scratch using Socket.IO·Create distributed applications and use the power of server-side rendering in your applications·Extend a project with a real-time bidding system using WebSocketsIn DetailThe MEAN stack is a combination of the most popular web development frameworks available—MongoDB, Angular, Express, and Node.js used together to offer a powerful and comprehensive full stack web development solution. It is the modern day web dev alternative to the old LAMP stack. It works by allowing AngularJS to handle the front end, and selecting Mongo, Express, and Node to handle the back-end development, which makes increasing sense to forward-thinking web developers. The MEAN stack is great if you want to prototype complex web applications.This book will enable you to build a better foundation for your AngularJS apps. Each chapter covers a complete, single, advanced end-to-end project. You'll learn how to build complex real-life applications with the MEAN stack and few more advanced projects. You will become familiar with WebSockets and build real-time web applications, as well as create auto-destructing entities. Later, we will combine server-side rendering techniques with a single page application approach. You'll build a fun project and see how to work with monetary data in Mongo. You will also find out how to a build real-time e-commerce application.By the end of this book, you will be a lot more confident in developing real-time, complex web applications using the MEAN stack.Style and approachThis book is filled with independent hands-on projects that teach you how to build real-life end-to-end complex web applications using the MEAN stack.

Introducing modular techniques for building sophisticated programs using PythonAbout This Book·The book would help you develop succinct, expressive programs using modular deign·The book would explain best practices and common idioms through carefully explained and structured examples·It will have broad appeal as far as target audience is concerned and there would be take away for all beginners to PythonWho This Book Is ForThis book is intended for beginner to intermediate level Python programmers who wish to learn how to use modules and packages within their programs. While readers must understand the basics of Python programming, no knowledge of modular programming techniques is required.What You Will Learn·Learn how to use modules and packages to organize your Python code·Understand how to use the import statement to load modules and packages into your program·Use common module patterns such as abstraction and encapsulation to write better programs·Discover how to create self-testing Python packages·Create reusable modules that other programmers can use·Learn how to use GitHub and the Python Package Index to share your code with other people·Make use of modules and packages that others have written·Use modular techniques to build robust systems that can handle complexity and changing requirements over timeIn DetailPython has evolved over the years and has become the primary choice of developers in various fields. The purpose of this book is to help readers develop readable, reliable, and maintainable programs in Python.Starting with an introduction to the concept of modules and packages, this book shows how you can use these building blocks to organize a complex program into logical parts and make sure those parts are working correctly together.Using clearly written, real-world examples, this book demonstrates how you can use modular techniques to build better programs. A number of common modular programming patterns are covered, including divide-and-conquer, abstraction, encapsulation, wrappers and extensibility. You will also learn how to test your modules and packages, how to prepare your code for sharing with other people, and how to publish your modules and packages on GitHub and the Python Package Index so that other people can use them. Finally, you will learn how to use modular design techniques to be a more effective programmer.Style and approachThis book will be simple and straightforward, focusing on imparting learning through a wide array of examples that the readers can put into use as they read through the book. They should not only be able to understand the way modules help in improving development, but they should also be able to improvise on their techniques of writing concise and effective code.

Start building fast and robust applications with the power of Rust by your sideAbout This Book·Get started with the language to build scalable and high performance applications·This book will help C#/C++ developers gain better performance and memory management·Discover the power of Rust when developing concurrent applications for large and scalable softwareWho This Book Is ForThe book is for absolute beginners to Rust, who want to build high performance, concurrent applications for their projects. It is suitable for developers who have a basic knowledge of programming and developers who are using the C#/C++ language to write their applications. No knowledge of Rust is expected.What You Will Learn·Set up Rust for Windows, Linux, and OS X·Write effective code using Rust·Expand your Rust applications using libraries·Interface existing non-Rust libraries with your Rust applications·Use the standard library within your applications·Understand memory management within Rust and speed efficiency when passing variables·Create more complex data types·Study concurrency in Rust with multi-threaded applications and sync threading techniques to improve the performance of an application problemIn DetailRust is a highly concurrent and high performance language that focuses on safety and speed, memory management, and writing clean code. It also guarantees thread safety, and its aim is to improve the performance of existing applications. Its potential is shown by the fact that it has been backed by Mozilla to solve the critical problem of concurrency.Learning Rust will teach you to build concurrent, fast, and robust applications. From learning the basic syntax to writing complex functions, this book will is your one stop guide to get up to speed with the fundamentals of Rust programming. We will cover the essentials of the language, including variables, procedures, output, compiling, installing, and memory handling.You will learn how to write object-oriented code, work with generics, conduct pattern matching, and build macros. You will get to know how to communicate with users and other services, as well as getting to grips with generics, scoping, and more advanced conditions. You will also discover how to extend the compilation unit in Rust.By the end of this book, you will be able to create a complex application in Rust to move forward with.Style and approachThis comprehensive book will focus on the Rust syntax, functions, data types, and conducting pattern matching for programmers. It is divided into three parts and each part of the book has an objective to enable the readers to create their own applications at an appropriate level, ultimately towards creating complex applications.

Learn to build powerful and scalable applications with Flux, the architecture that serves billions of Facebook users every dayAbout This Book·This the first resource dedicated to the new architectural pattern that powers Facebook·You'll learn all the tips and tricks you need to get the most out of Flux·Filled with practical, hands-on samples, you'll not only understand how Flux works, but will be able to start building Flux-powered applications straight away·Written by Adam Boduch, software architect at Virtustream (EMC), and author of JavaScript at Scale, JavaScript Concurrency, and jQuery UI Cookbook for Packt PublishingWho This Book Is ForAre you trying to use React, but are struggling to get your head around Flux? Maybe you're tired of MV* spaghetti code at scale? Do you find yourself asking what the Flux?!Flux Architecture will guide you through everything you need to understand the Flux pattern, and design and build powerful web applications that rely on the Flux architecture.You don't need to know what Flux is or how it works to read along with the book. No knowledge of Flux's partner technology, ReactJS, is necessary to follow along, but it is recommended that you have a good working knowledge of JavaScript.What You Will Learn·Understand the Flux pattern and how it will impact your React applications·Build real-world applications that rely on Flux·Handle asynchronous actions in your application·Implement immutable stores with Immutable.js·Replace React.js with alternate View components such as jQuery and Handlebars·Test and benchmark your Flux architecture using Jest—Facebook's enhancement of the Jasmine libraryIn DetailWhilst React has become Facebook's poster-child for clean, complex, and modern web development, it has quietly been underpinned by its simplicity. It's just a view. The real beauty in React is actually the architectural pattern that handles data in and out of React applications: Flux. With Flux, you're able to build data-rich applications that engage your users, and scale to meet every demand. It is a key part of the Facebook technology stack that serves billions of users every day.This book will start by introducing the Flux pattern and help you get an understanding of what it is and how it works. After this, we'll build real-world React applications that highlight the power and simplicity of Flux in action. Finally, we look at the landscape of Flux and explore the Alt and Redux libraries that make React and Flux developments easier.Filled with fully-worked examples and code-first explanations, by the end of the book, you'll not only have a rock solid understanding of the architecture, but will be ready to implement Flux architecture in anger.Style and approachThis book is filled with practical, hands-on examples. You'll not only understand how Flux works, but will be able to start building Flux-powered applications straight away.

Design and implement efficient RESTful solutions with this practical hands-on guideAbout This Book·Create a fully featured RESTful API solution from scratch.·Learn how to leverage Node.JS, Express, MongoDB and NoSQL datastores to give an extra edge to your REST API design.·Use this practical guide to integrate MongoDB in your Node.js application.Who This Book Is ForThe ideal target audience for this book is web developers who have some experience with RESTful services. Familiarity with basic JavaScript programming techniques is required. No prior experience with Node.JS or Express.js is required.What You Will Learn·Install, develop, and test your own Node.js user modules·Comprehend the differences between an HTTP and a RESTful application·Optimize RESTful service URI routing with best practices·Eliminate third-party dependencies in your tests with mocking·Learn about NoSQL data stores and integrate MongoDB in your Node.js application with Mongoose·Secure your services with NoSQL database integration within Node.js applications·Enrich your development skills to create scalable, server-side, RESTful applications based on the Node.js platformIn DetailIn this era of cloud computing, every data provisioning solution is built in a scalable and fail-safe way. Thus, when building RESTful services, the right choice for the underlying platform is vital. Node.js, with its asynchronous, event-driven architecture, is exactly the right choice to build RESTful APIs.This book will help you enrich your development skills to create scalable, server-side, RESTful applications based on the Node.js platform.Starting with the fundamentals of REST, you will understand why RESTful web services are better data provisioning solution than other technologies. You will start setting up a development environment by installing Node.js, Express.js, and other modules. Next, you will write a simple HTTP request handler and create and test Node.js modules using automated tests and mock objects. You will then have to choose the most appropriate data storage type, having options between a key/value or document data store, and also you will implement automated tests for it. This module will evolve chapter by chapter until it turns into a full-fledged and secure Restful service.Style and approachCreate state of the art RESTful API solutions leveraging Node.JS 4.x.

A practical guide to rapidly and efficiently mastering Docker containers, along with tips and tricks learned in the field.About This Book·Use Docker containers, horizontal node scaling, modern orchestration tools (Docker Swarm, Kubernetes, and Mesos) and Continuous Integration/Continuous Delivery to manage your infrastructure.·Increase service density by turning often-idle machines into hosts for numerous Docker services.·Learn what it takes to build a true container infrastructure that is scalable, reliable, and resilient in the face of increased complexities from using container infrastructures.·Find out how to identify, debug, and mitigate most real-world, undocumented issues when deploying your own Docker infrastructure.·Learn tips and tricks of the trade from existing Docker infrastructures running in production environments.Who This Book Is ForThis book is aimed at system administrators, developers, DevOps engineers, and software engineers who want to get concrete, hands-on experience deploying multi-tier web applications and containerized microservices using Docker. This book is also for anyone who has worked on deploying services in some fashion and wants to take their small-scale setups to the next level (or simply to learn more about the process).What You Will Learn·Set up a working development environment and create a simple web service to demonstrate the basics·Learn how to make your service more usable by adding a database and an app server to process logic·Add resilience to your services by learning how to horizontally scale with a few containers on a single node·Master layering isolation and messaging to simplify and harden the connectivity between containers·Learn about numerous issues encountered at scale and their workarounds, from the kernel up to code versioning·Automate the most important parts of your infrastructure with continuous integrationIn DetailDeploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use.The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together.At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services.Style and approachThis in-depth learning guide shows you how to deploy your applications in production using Docker (from the basic steps to advanced concepts) and how to overcome challenges in Docker-based infrastructures. The book also covers practical use-cases in real-world examples, and provides tips and tricks on the various topics.

Build applications and infrastructures that leverage Function-as-a-Service and Docker About This Book ? Implement containerization in Serverless/FaaS environments ? Utilize Docker as a functional unit of work for Serverless/FaaS platforms ? Use Docker as a portable infrastructure for Serverless Applications Who This Book Is For If you are a Developer, a Docker Engineer, a DevOps Engineer, or any stakeholder interested in learning the use of Docker on Serverless environments then this book is for you. What You Will Learn ? Learn what Serverless and FaaS applications are ? Get acquainted with the architectures of three major serverless systems ? Explore how Docker technologies can help develop Serverless applications ? Create and maintain FaaS infrastructures ? Set up Docker infrastructures to serve as on-premises FaaS infrastructures ? Define functions for Serverless applications with Docker containers In Detail Serverless applications have gained a lot of popularity among developers and are currently the buzzwords in the tech market. Docker and serverless are two terms that go hand-in-hand. This book will start by explaining serverless and Function-as-a-Service (FaaS) concepts, and why they are important. Then, it will introduce the concepts of containerization and how Docker fits into the Serverless ideology. It will explore the architectures and components of three major Docker-based FaaS platforms, how to deploy and how to use their CLI. Then, this book will discuss how to set up and operate a production-grade Docker cluster. We will cover all concepts of FaaS frameworks with practical use cases, followed by deploying and orchestrating these serverless systems using Docker. Finally, we will also explore advanced topics and prototypes for FaaS architectures in the last chapter. By the end of this book, you will be in a position to build and deploy your own FaaS platform using Docker. Style and approach A practical guide that offers a simple way to easily understand Serverless Applications utilizing Docker as the development environment.

Learn the most powerful and primary programming language for writing smart contracts and find out how to write, deploy, and test smart contracts in Ethereum. About This Book ? Get you up and running with Solidity Programming language ? Build Ethereum Smart Contracts with Solidity as your scripting language ? Learn to test and deploy the smart contract to your private Blockchain Who This Book Is For This book is for anyone who would like to get started with Solidity Programming for developing an Ethereum smart contract. No prior knowledge of EVM is required. What You Will Learn ? Learn the basics and foundational concepts of Solidity and Ethereum ? Explore the Solidity language and its uniqueness in depth ? Create new accounts and submit transactions to blockchain ? Get to know the complete language in detail to write smart contracts ? Learn about major tools to develop and deploy smart contracts ? Write defensive code using exception handling and error checking ? Understand Truffle basics and the debugging process In Detail Solidity is a contract-oriented language whose syntax is highly influenced by JavaScript, and is designed to compile code for the Ethereum Virtual Machine. Solidity Programming Essentials will be your guide to understanding Solidity programming to build smart contracts for Ethereum and blockchain from ground-up. We begin with a brief run-through of blockchain, Ethereum, and their most important concepts or components. You will learn how to install all the necessary tools to write, test, and debug Solidity contracts on Ethereum. Then, you will explore the layout of a Solidity source file and work with the different data types. The next set of recipes will help you work with operators, control structures, and data structures while building your smart contracts. We take you through function calls, return types, function modifers, and recipes in object-oriented programming with Solidity. Learn all you can on event logging and exception handling, as well as testing and debugging smart contracts. By the end of this book, you will be able to write, deploy, and test smart contracts in Ethereum. This book will bring forth the essence of writing contracts using Solidity and also help you develop Solidity skills in no time. Style and approach Solidity is a high-level programming language best understood using examples. After covering basic concepts of Ethereum and Solidity, programming constructs will be explained with help of examples. As chapters progress, deployment, usage and testing of contacts will form major aspect of the book. Troubleshooting and unit testing is an important exercise and skill to master this language will also be covered in this book.

Building efficient Python applications at minimal cost by adopting serverless architectures About This Book ? Design and set up a data flow between cloud services and custom business logic ? Make your applications efficient and reliable using serverless architecture ? Build and deploy scalable serverless Python APIs Who This Book Is For This book is for Python developers who would like to learn about serverless architecture. Python programming knowledge is assumed. What You Will Learn ? Understand how AWS Lambda and Microsoft Azure Functions work and use them to create an application ? Explore various triggers and how to select them, based on the problem statement ? Build deployment packages for Lambda functions ? Master the finer details about building Lambda functions and versioning ? Log and monitor serverless applications ? Learn about security in AWS and Lambda functions ? Scale up serverless applications to handle huge workloads and serverless distributed systems in production ? Understand SAM model deployment in AWS Lambda In Detail Serverless architectures allow you to build and run applications and services without having to manage the infrastructure. Many companies have adopted this architecture to save cost and improve scalability. This book will help you design serverless architectures for your applications with AWS and Python. The book is divided into three modules. The first module explains the fundamentals of serverless architecture and how AWS lambda functions work. In the next module, you will learn to build, release, and deploy your application to production. You will also learn to log and test your application. In the third module, we will take you through advanced topics such as building a serverless API for your application. You will also learn to troubleshoot and monitor your app and master AWS lambda programming concepts with API references. Moving on, you will also learn how to scale up serverless applications and handle distributed serverless systems in production. By the end of the book, you will be equipped with the knowledge required to build scalable and cost-efficient Python applications with a serverless framework. Style and approach The book takes a pragmatic approach, using a real-world example to demonstrate building efficient, secure, and scalable serverless applications.

Improve the speed of your code and optimize the performance of your apps About This Book ? Understand the common performance pitfalls and improve your application’s performance ? Get to grips with multi-threaded and asynchronous programming in C# ? Develop highly performant applications on .NET Core using microservice architecture Who This Book Is For This book is for .NET developers looking at improving the speed of their code or simply wanting to take their skills to the next level. Basic C# knowledge is assumed. What You Will Learn ? Measure application performance using BenchmarkDotNet ? Explore the techniques to write multithreaded applications ? Leverage TPL and PLinq libraries to perform asynchronous operations ? Get familiar with data structures to write optimized code ? Understand design techniques to increase your application’s performance ? Learn about memory management techniques in .NET Core ? Develop a containerized application based on microservices architecture ? Learn tools and techniques to monitor application performance In Detail While writing an application, performance is paramount. Performance tuning for realworld applications often involves activities geared toward fnding bottlenecks; however, this cannot solve the dreaded problem of slower code. If you want to improve the speed of your code and optimize an application's performance, then this book is for you. C# 7 and .NET Core 2.0 High Performance begins with an introduction to the new features of what?explaining how they help in improving an application's performance. Learn to identify the bottlenecks in writing programs and highlight common performance pitfalls, and learn strategies to detect and resolve these issues early. You will explore multithreading and asynchronous programming with .NET Core and learn the importance and effcient use of data structures. This is followed with memory management techniques and design guidelines to increase an application’s performance. Gradually, the book will show you the importance of microservices architecture for building highly performant applications and implementing resiliency and security in .NET Core. After reading this book, you will learn how to structure and build scalable, optimized, and robust applications in C#7 and .NET. Style and approach This book will be a step by step easy to follow guide with focused examples to increase performance of applications and provide optimization techniques.

Leverage the power of Python and its de facto GUI framework to build highly interactive interfaces About This Book ? The fundamentals of Python and GUI programming with Tkinter. ? Create multiple cross-platform projects by integrating a host of third-party libraries and tools. ? Build beautiful and highly-interactive user interfaces that target multiple devices. Who This Book Is For This book is for beginners to GUI programming who haven’t used Tkinter yet and are eager to start building great-looking and user-friendly GUIs. Prior knowledge of Python programming is expected. What You Will Learn ? Create a scrollable frame via theCanvas widget ? Use the pack geometry manager andFrame widget to control layout ? Learn to choose a data structurefor a game ? Group Tkinter widgets, such asbuttons, canvases, and labels ? Create a highly customizablePython editor ? Design and lay out a chat window In Detail Tkinter is a modular, cross-platform application development toolkit for Python. When developing GUI-rich applications, the most important choices are which programming language(s) and which GUI framework to use. Python and Tkinter prove to be a great combination. This book will get you familiar with Tkinter by having you create fun and interactive projects. These projects have varying degrees of complexity. We'll start with a simple project, where you'll learn the fundamentals of GUI programming and the basics of working with a Tkinter application. After getting the basics right, we'll move on to creating a project of slightly increased complexity, such as a highly customizable Python editor. In the next project, we'll crank up the complexity level to create an instant messaging app. Toward the end, we'll discuss various ways of packaging our applications so that they can be shared and installed on other machines without the user having to learn how to install and run Python programs. Style and approach Step by Step guide with real world examples

Enhance your software deployment workflow using containers About This Book ? Get up-and-running with basic to advanced concepts of Docker ? Get acquainted with concepts such as Docker containers, Docker images, orchestrators and so on. ? Practical test-based approach to learning a prominent containerization tool Who This Book Is For This book is targeted at system administrators, operations engineers, DevOps engineers, and developers or stakeholders who are interested in getting started with Docker from scratch. No prior experience with Docker Containers is required. What You Will Learn ? Containerize your traditional or microservice-based application ? Share or ship your application as an immutable container image ? Build a Docker swarm and a Kubernetes cluster in the cloud ? Run a highly distributed application using Docker Swarm or Kubernetes ? Update or rollback a distributed application with zero downtime ? Secure your applications via encapsulation, networks, and secrets ? Know your options when deploying your containerized app into the cloud In Detail Docker containers have revolutionized the software supply chain in small and big enterprises. Never before has a new technology so rapidly penetrated the top 500 enterprises worldwide. Companies that embrace containers and containerize their traditional mission-critical applications have reported savings of at least 50% in total maintenance cost and a reduction of 90% (or more) of the time required to deploy new versions of those applications. Furthermore they are benefitting from increased security just by using containers as opposed to running applications outside containers. This book starts from scratch, introducing you to Docker fundamentals and setting up an environment to work with it. Then we delve into concepts such as Docker containers, Docker images, Docker Compose, and so on. We will also cover the concepts of deployment, orchestration, networking, and security. Furthermore, we explain Docker functionalities on public clouds such as AWS. By the end of this book, you will have hands-on experience working with Docker containers and orchestrators such as SwarmKit and Kubernetes. Style and approach The simple end-to-end guide will help you learn everything about how to containerize, ship, and run both a traditional application and a modern microservice-based application on-premise or in the cloud.

Explore GIS processing and learn to work with various tools and libraries in Python. About This Book ? Analyze and process geospatial data using Python libraries such as; Anaconda, GeoPandas ? Leverage new ArcGIS API to process geospatial data for the cloud. ? Explore various Python geospatial web and machine learning frameworks. Who This Book Is For The audience for this book includes students, developers, and geospatial professionals who need a reference book that covers GIS data management, analysis, and automation techniques with code libraries built in Python 3. What You Will Learn ? Manage code libraries and abstract geospatial analysis techniques using Python 3. ? Explore popular code libraries that perform specific tasks for geospatial analysis. ? Utilize code libraries for data conversion, data management, web maps, and REST API creation. ? Learn techniques related to processing geospatial data in the cloud. ? Leverage features of Python 3 with geospatial databases such as PostGIS, SQL Server, and SpatiaLite. In Detail Python comes with a host of open source libraries and tools that help you work on professional geoprocessing tasks without investing in expensive tools. This book will introduce Python developers, both new and experienced, to a variety of new code libraries that have been developed to perform geospatial analysis, statistical analysis, and data management. This book will use examples and code snippets that will help explain how Python 3 differs from Python 2, and how these new code libraries can be used to solve age-old problems in geospatial analysis. You will begin by understanding what geoprocessing is and explore the tools and libraries that Python 3 offers. You will then learn to use Python code libraries to read and write geospatial data. You will then learn to perform geospatial queries within databases and learn PyQGIS to automate analysis within the QGIS mapping suite. Moving forward, you will explore the newly released ArcGIS API for Python and ArcGIS Online to perform geospatial analysis and create ArcGIS Online web maps. Further, you will deep dive into Python Geospatial web frameworks and learn to create a geospatial REST API. Style and approach The book takes a practical, example-driven approach to teach you GIS analysis and automation techniques with Python 3.

Practical, hands-on solutions in Python to overcome any problem in Machine Learning About This Book ? Master the advanced concepts, methodologies, and use cases of machine learning ? Build ML applications for analytics, NLP and computer vision domains ? Solve the most common problems in building machine learning models Who This Book Is For This book is for the intermediate users such as machine learning engineers, data engineers, data scientists, and more, who want to solve simple to complex machine learning problems in their day-to-day work and build powerful and efficient machine learning models. A basic understanding of the machine learning concepts and some experience with Python programming is all you need to get started with this book. What You Will Learn ? Select the right algorithm to derive the best solution in ML domains ? Perform predictive analysis effciently using ML algorithms ? Predict stock prices using the stock index value ? Perform customer analytics for an e-commerce platform ? Build recommendation engines for various domains ? Build NLP applications for the health domain ? Build language generation applications using different NLP techniques ? Build computer vision applications such as facial emotion recognition In Detail Machine learning (ML) helps you find hidden insights from your data without the need for explicit programming. This book is your key to solving any kind of ML problem you might come across in your job. You’ll encounter a set of simple to complex problems while building ML models, and you'll not only resolve these problems, but you’ll also learn how to build projects based on each problem, with a practical approach and easy-to-follow examples. The book includes a wide range of applications: from analytics and NLP, to computer vision domains. Some of the applications you will be working on include stock price prediction, a recommendation engine, building a chat-bot, a facial expression recognition system, and many more. The problem examples we cover include identifying the right algorithm for your dataset and use cases, creating and labeling datasets, getting enough clean data to carry out processing, identifying outliers, overftting datasets, hyperparameter tuning, and more. Here, you'll also learn to make more timely and accurate predictions. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. Style and approach This book is a step-by-step guide on how to develop machine learning applications for various domains. Each chapter of this book contains the practical guide on how to build specific machine learning applications from its base-line approach to the best possible approach. Basic necessary concepts, conman mistakes for every approach and optimization techniques are discussed for each application.

Get certified as an Azure architect by acing the 70-535 Architecting Microsoft Solutions (70-535) exam using this comprehensive guide with full coverage of the exam objectives About This Book ? Learn to successfully design and architect powerful solutions on the Azure Cloud platform ? Enhance your skills with mock tests and practice questions ? A detailed certification guide that will help you ace the 70-535 exam with confidence Who This Book Is For This book is for architects and experienced developers, who are gearing up for the 70-535 exam. Technical architects interested in learning more about designing Cloud solutions will also find this book useful. What You Will Learn ? Use Azure Virtual Machines to design effective VM deployments ? Implement architecture styles, like serverless computing and microservices ? Secure your data using different security features and design effective security strategies ? Design Azure storage solutions using various storage features ? Create identity management solutions for your applications and resources ? Architect state-of-the-art solutions using Artificial Intelligence, IoT, and Azure Media Services ? Use different automation solutions that are incorporated in the Azure platform In Detail Architecting Microsoft Azure Solutions: Exam Guide 70-535 will get Azure architects and developers up-to-date with the latest updates on Azure from an architecture and design perspective. The book includes all the topics that are still relevant from the previous 70-534 exam, and is updated with latest topics covered, including Artificial Intelligence, IoT, and architecture styles. This exam guide is divided into six parts, where the first part will give you a good understanding of how to design a compute infrastructure. It also dives into designing networking and data implementations. You will learn about designing solutions for Platform Service and operations. Next, you will be able to secure your resources and data, as well as design a mechanism for governance and policies. You will also understand the objective of designing solutions for Platform Services, by covering Artificial Intelligence, IoT, media services, and messaging solution concepts. Finally, you will cover the designing for operations objective. This objective covers application and platform monitoring, as well as designing alerting strategies and operations automation strategies. By the end of the book, you'll have met all of the exam objectives, and will have all the information you need to ace the 70-535 exam. You will also have become an expert in designing solutions on Microsoft Azure. Style and approach This book offers clear and crisp explanations of the exam objectives that will help you with all the information needed to pass the 70-535 exam. The detail oriented approach will make you an expert on designing solutions on Microsoft Azure.