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Python: Best Practices to Programming Code with Python

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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.

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.

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.

Dive and explore into the latest addons of the latest Git.About This Book·Master all the basic concepts of Git to protect your code and make it easier to evolve·Use Git proficiently, and learn how to resolve day-by-day challenges easily·This step-by-step guide is packed with examples to help you learn and work with Git's internalsWho This Book Is ForIf you are a software developer with little or no experience of versioning systems, or you are familiar with other centralized versioning systems, then this book is for you.If you have experience in server and system management and need to broaden your use of Git from a DevOps perspective, this book contains everything you need.What You Will Learn·Master Git fundamentals·Be able to "visualize," even with the help of a valid GUI tool·Write principal commands in a shell·Figure out the right strategy to run change your daily work with few or no annoyances·Explore the tools used to migrate to Git from the Subversion versioning system without losing your development history·Plan new projects and repositories with ease, using online services, or local network resourcesIn DetailSince its inception, Git has attracted skilled developers due to its robust, powerful, and reliable features. Its incredibly fast branching ability transformed a piece of code from a niche tool for Linux Kernel developers into a mainstream distributed versioning system. Like most powerful tools, Git can be hard to approach since it has a lot of commands, subcommands, and options that easily confuse newcomers.The 2nd edition of this very successful book will help you overcome this fear and become adept in all the basic tasks in Git. Building upon the success of the first book, we start with a brief step-by-step installation guide; after this, you'll delve into the essentials of Git. For those of you who have bought the first edition, this time we go into internals in far greater depth, talking less about theory and using much more practical examples.The book serves as a primer for topics to follow, such as branching and merging, creating and managing a GitHub personal repository, and fork and pull requests. You'll then learn the art of cherry-picking, taking only the commits you want, followed by Git blame. Finally, we'll see how to interoperate with a Subversion server, covering the concepts and commands needed to convert an SVN repository into a Git repository.To conclude, this is a collection of resources, links, and appendices to satisfy even the most curious.Style and approachThis short guide will help you understand the concepts and fundamentals of GIT is a step-by-step manner.

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.

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.

Python: Advanced Guide to Programming Code with Python

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Mivel az informatika egyre inkább átsz?vi életünket, a szoftverek min?ségével kapcsolatos elvárások egyre magasabbak. Egy szoftver el?állítása azonban nem csak programozásból áll, és a programozóktól sem lehet elvárni emberfeletti képességeket, a megrendel? el nem mondott elképzelésének t?kéletesen megfelel?, teljesen hibamentes munkát, mivel csak az nem hibázik, aki nem is dolgozik. Az informatika világában a szoftvertesztel?k azok, akik a szoftverek min?ségéért dolgoznak. A szoftvertesztel?k?n óriási felel?sség nyugszik és folyamatosan elvárások kereszttüzében kell helytállniuk. Mégis, szoftvertesztelés nélkül a legt?bb szoftver el sem jutna a felhasználókig, vagy ha igen, akkor megjelenésük botrányokkal, valamint óriási anyagi és erk?lcsi veszteségekkel járna együtt, a rengeteg fel nem tárt programhiba miatt. Szoftvertesztelésre és tesztel?kre ezért mindenképp szükség van. K?nyvünk a professzionális szoftvertesztelés alapjaival ismerteti meg az olvasót, számos gyakorlati példával f?szerezve, mell?zve a száraz, pusztán technikai megk?zelítés? leírásokat, kezdve a szoftvertesztelés általános bemutatásától, a fogalmak ismertetését?l, majd részleteiben tárgyalva a szoftvertesztelést és annak helyét a fejlesztési folyamatokban. Segítségével jó adag gyakorlati ismerettel vértezhetjük fel magunkat, melynek során valódi, a tesztelést támogató alkalmazásokat ismerhetünk meg, biztos alapot nyújtva a szoftvertesztelésben elhelyezked? leend? és gyakorló szakembereknek a mindennapi munkájukhoz. A szoftverteszteléssel most ismerked? szakembereknek és laikusoknak kimondottan hasznos lehet ez a k?nyv, de fejleszt?k és cégvezet?k számára is tartogat hasznos információkat, melyek segítségével bevezethetik, illetve hatékonyabbá tehetik a szoftvertesztelést munkájuk során.

Ha kíváncsi az olyan témákra, mint például hogy miként lehet felt?rni egy jelszót, vagy egy webhelyet, esetleg hogyan lehet lehallgatni bárki kommunikációját egy nyílt wifi hálózaton, akkor ez a k?nyv ?nnek szól. Sokan azt hiszik, hogy ezek ?rd?ng?s dolgok, pedig egyáltalán nem azok. ?ppen ezért fontos, hogy védekezni is kell ellenük, ami szintén nem bonyolult, csak egy kis odafigyelésre van szükség. K?nyvünk mindkét oldalt megmutatja, elrettentésképpen a lehet?ségeket, okulásként a védekezési módokat. Ha ?n azt hiszi, hogy biztonságban van, hiszen nem csinál semmi illegálisat és még vírusirtó is van a gépén, akkor nagyon téved! Teljesk?r? védelem ugyanis nem létezik! Ha elolvassa ezt a k?nyvet, meg fog d?bbenni, hogy milyen sok támadási lehet?ség van adataink ellen. A k?nyv, azon túl, hogy ismerteti, mit jelentenek az információbiztonsági szakkifejezések olyan témákkal foglalkozik, mint hogy milyen eszk?z?k támadhatók és hogyan, hogyan dolgozik egy hacker, mekkora kockázatot jelent az emberi tényez? (social engineering), stb. Kitér a jelszavak biztonságára, a kül?nféle hackeléshez használható programok és azok kezelésére, a billenty?zetnaplózási lehet?ségekre, a hálózatok és weboldalak támadására és felt?résére, az online bankolási kockázatokra, a titkosítási módszerekre, illetve hogy mit érdemes tenni a biztonságos adattárolás érdekében.Természetesen senkit sem akarunk illegális tevékenységre buzdítani, célunk sokkal inkább azt megmutatni, hogy mekkora veszélynek vagyunk kitéve, ezáltal a támadási és védekezési lehet?ségek bemutatásával ?szt?n?zzük az embereket a biztonságosabb számítógéphasználatra.

Bayesian modeling with PyMC3 and exploratory analysis of Bayesian models with ArviZ Key Features *A step-by-step guide to conduct Bayesian data analyses using PyMC3 and ArviZ *A modern, practical and computational approach to Bayesian statistical modeling *A tutorial for Bayesian analysis and best practices with the help of sample problems and practice exercises. Book Description The second edition of Bayesian Analysis with Python is an introduction to the main concepts of applied Bayesian inference and its practical implementation in Python using PyMC3, a state-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models. The main concepts of Bayesian statistics are covered using a practical and computational approach. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. By the end of the book, you will have a working knowledge of probabilistic modeling and you will be able to design and implement Bayesian models for your own data science problems. After reading the book you will be better prepared to delve into more advanced material or specialized statistical modeling if you need to. What you will learn *Build probabilistic models using the Python library PyMC3 *Analyze probabilistic models with the help of ArviZ *Acquire the skills required to sanity check models and modify them if necessary *Understand the advantages and caveats of hierarchical models *Find out how different models can be used to answer different data analysis questions *Compare models and choose between alternative ones *Discover how different models are unified from a probabilistic perspective *Think probabilistically and benefit from the flexibility of the Bayesian framework Who this book is for If you are a student, data scientist, researcher, or a developer looking to get started with Bayesian data analysis and probabilistic programming, this book is for you. The book is introductory so no previous statistical knowledge is required, although some experience in using Python and NumPy is expected.