Search results for ""Manning""

In Software Mistakes and Tradeoffs you'll learn from costly mistakes that Tomasz Lelek and Jon Skeet have encountered over their impressive careers. You'll explore real-world scenarios where poor understanding of tradeoffs lead to major problems down the road, to help you make better design decisions. Plus, with a little practice, you'll be able to avoid the pitfalls that trip up even the most experienced developers. Software Mistakes and Tradeoffs teaches you how to make better decisions about designing, planning, and implementing applications. You'll analyse real-world scenarios where the wrong tradeoff decisions were made, and discover what could have been done differently. The book lays out the pros and cons of different approaches and explores evergreen patterns that will always be relevant to software design. Code performance versus simplicity. Delivery speed versus duplication. Flexibility versus maintain ability—everydecision you make in software engineering involves balancing tradeoffs. Often, decisions that look good at the design stage can prove problematic in practice.This book reveals the questions you need to be asking to make the right decisions for your own software tradeoffs.

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Ace the toughest system design interview questions and land the job and salary you want! For software engineers, software architects, and engineering managers looking to advance their careers. Acing the System Design Interview tackles the hardest part of the software engineering hiring process – the system design interview. Never fear! In this book, Zhiyong Tan reveals his unique system design interview techniques that have earned him job offers from Amazon, Apple, PayPal, and Uber. The book goes well beyond typical soft skills. You will master a structured and organised approach to present system design ideas like: Scaling databases to support heavy traffic Distributed transactions techniques to ensure data consistency Services for functional partitioning such as API gateway, service mesh, and metadata Common API paradigms including REST, RPC, and GraphQL Caching strategies, including their tradeoffs Logging, monitoring, and alerting concepts that are critical in any system design Communication skills that demonstrate your engineering maturity The interview's open-ended nature often makes nailing it more art than science – and notoriously difficult to prepare for. With this book, you will dive deep into the common technical topics that arise during interviews, learning how to apply them to mentally perfect different kinds of systems. About the technology Any senior role in software engineering will include system design interviews in the hiring process. Built around open-ended questions with no standard answer, these interviews test how well you understand the design of complex systems. You will need to demonstrate that you can balance trade-offs to design a system that both meets current requirements and is flexible to future modifications and extensions – all in a 50-minute interview!

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Gain in-depth knowledge about how companies manipulate and exploit personal data. A book that does not require particular technical knowledge – just mere curiosity to explore the subject. From tech experts to the general public, Data for All is the ground-breaking guide to help with the ways third parties use personal data. Written by bestselling author John K Thompson, this edition will aid your understanding of areas, such as The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetisation of your own data Restricting data access to only companies and organisations you want to support The history of how we think about data, and why that is changing The new data ecosystem is being built right now for your benefit About the technology For years, companies have had free rein to use every click, purchase, and “like” you make, to earn money. Now, across the globe, new laws have been written, passed, and are coming into force, giving individuals the right to access, delete, and monetise their own data. This book provides a vision of how you can use these laws, regulations, and services to directly benefit from your data in new and lucrative ways.

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Write concurrent code in Go that improves application performance, scales up to handle bigger loads, and takes full advantage of modern multi-processor hardware. Suitable for programmers who already know the basics of Go or another C-style language. No experience in concurrent programming required. In Learn Concurrent Programming with Go you will learn how to: Implement effective concurrency for more responsive, higher performing, scalable software Avoid common concurrency problems such as deadlocks and race conditions Manage concurrency using goroutines, mutexes, readers-writer locks, and more Identify concurrency patterns such as pipelining, worker pools, and message passing Discover advantages, limits and properties of parallel computing Improve your Go coding skills with advanced multithreading About the technology Concurrent programming is essential for getting the most out of modern multi-processor computer hardware. It allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. Thanks to its baked-in concurrency models, Google's Go is one of the best languages you can use to learn and apply concurrent programming to your systems.

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Blazor in Action is a practical guide to building stunning UIs and client-side applications using C# and .NET. Written to the most recent stable build of Blazor, this example-driven book shows how to build a complete end-to-end hiking route web application that's full of easily reusable code. You'll create your own custom Blazor components, including handy UI elements like form controls, and learn how to implement access controls and other important security features. Finally, you'll learn how you can use Blazor components inside your existing ASP.NET applications, and get essential tips and tricks on tuning your app's performance. By the time you're done, you'll be ready to develop beautiful sites and apps that seamlessly execute your C# code natively in the browser.

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Improving existing code—refactoring—is one of the most common tasks you’ll face as a programmer. Five Lines of Code teaches you clear and actionable refactoring rules that you can apply without relying on intuitive judgements such as “code smells.” It’s written for working developers, guiding you step by step through applying refactoring patterns to the codebase of a 2D puzzle game. Following the author’s expert perspective—that refactoring and code smells can be learned by following a concrete set of principles—you’ll learn when to refactor your code, what patterns to apply to what problem, and the code characteristics that indicate it’s time for a rework. Thanks to this hands-on guide, you’ll find yourself programming faster while still delivering high-quality code that your teammates will love to work with. about the technologyRefactoring is a fact of life. All code is imperfect, and refactoring is a systematic process you can use to improve the quality of your codebase. Whatever your architecture, choice of OO language, or skill as a programmer, the continuous design improvements of refactoring make your code simpler, more readable, and less prone to bugs. You’ll be amazed at the productivity boost of adding refactoring to your code hygiene routine—it’s quicker to hammer out bad code and then improve it than spending hours writing good code in the first place! about the book Five Lines of Code teaches working developers the shortcuts to quality code. You’ll follow author Christian Clausen’s unique approach to teaching refactoring that’s focused on concrete rules, and getting any method down to five lines or less to implement! There’s no jargon or tricky automated-testing skills required, just easy guidelines and patterns illustrated by detailed code samples. Chapter by chapter you’ll put techniques into action by refactoring a complete 2D puzzle game. Before you know it, you’ll be making serious and tangible improvements to your codebase. what's inside The symptoms of bad code The extracting method, introducing strategy pattern, and many other refactoring patterns Modifying code safely, even when you don’t understand it Writing stable code that enables change-by-addition Proper compiler practices Writing code that needs no comments Real-world practices for great refactoring about the readerFor developers who know an object-oriented programming language. about the author Christian Clausen works as a Technical Agile Coach teaching teams how to properly refactor their code. Previously he worked as a software engineer on the Coccinelle semantic patching project, an automated refactoring tool. He has an MSc in computer science, and five years’ experience teaching software quality at a university level.

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Deep learning has revealed ways to create algorithms for applications that we never dreamed were possible. For software developers, the challenge lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Design Patterns is here to help. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Written by Google deep learning expert Andrew Ferlitsch, it's filled with the latest deep learning insights and best practices from his work with Google Cloud AI. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. about the technologyYou don't need to design your deep learning applications from scratch! By viewing cutting-edge deep learning models as design patterns, developers can speed up their creation of AI models and improve model understandability for both themselves and other users. about the book Deep Learning Design Patterns distills models from the latest research papers into practical design patterns applicable to enterprise AI projects. Using diagrams, code samples, and easy-to-understand language, Google Cloud AI expert Andrew Ferlitsch shares insights from state-of-the-art neural networks. You'll learn how to integrate design patterns into deep learning systems from some amazing examples, including a real-estate program that can evaluate house prices just from uploaded photos and a speaking AI capable of delivering live sports broadcasting. Building on your existing deep learning knowledge, you'll quickly learn to incorporate the very latest models and techniques into your apps as idiomatic, composable, and reusable design patterns. what's inside Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Composable design pattern for automatic learning methods Assembling large-scale model deployments Complete code samples and example notebooks Accompanying YouTube videos about the readerFor machine learning engineers familiar with Python and deep learning. about the author Andrew Ferlitsch is an expert on computer vision and deep learning at Google Cloud AI Developer Relations. He was formerly a principal research scientist for 20 years at Sharp Corporation of Japan, where he amassed 115 US patents and worked on emerging technologies in telepresence, augmented reality, digital signage, and autonomous vehicles. In his present role, he reaches out to developer communities, corporations and universities, teaching deep learning and evangelizing Google's AI technologies.

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"Do you want to learn more about software telemetry? Don't look any further, this book is the one you need." - Sander Zegveld Software telemetry is the discipline of tracing, logging, and monitoring infrastructure by observing and analyzing the events generated by the system. In Software Telemetry, you'll master the best practices for operating and updating telemetry systems. This practical guide is filled with techniques you can apply to any organization upgrading and optimizing their telemetry systems, from lean startups to well-established companies. You'll learn troubleshooting techniques to deal with every eventuality, such as building easily-auditable systems, preventing and handling accidental data leaks, and ensuring compliance with standards like GDPR. about the technologyComplex systems can become black boxes. Telemetry provides feedback on what's happening inside. Telemetry systems are built for gathering, transforming, and communicating data on the performance, functionality, processing speeds, errors, and security events of production systems. There are many forms of telemetry systems, from classic centralized logging to cutting-edge distributed tracing that follows data across microservices. But despite their difference in functionality, all telemetry systems share core operational similarities—and best practices for optimizing them to support your business needs. about the bookSoftware Telemetry is a guide to operating the telemetry systems that monitor and report on your applications. It takes a big picture view of telemetry, teaching you to manage your logging, metrics, and events as a complete end-to-end ecosystem. You'll learn the base architecture that underpins any software telemetry system, allowing you to easily integrate new systems into your existing infrastructure, and how these systems work under the hood. Throughout, you'll follow three very different companies to see how telemetry techniques impact a software-producing startup, a large legacy enterprise, and any organization that writes software for internal use. You'll even cover how software telemetry is used by court processes—ensuring that when your first telemetry discovery request arrives, there's no reason to panic! what's inside- Processes for legal compliance- Cleaning up after toxic data spills and leaks- Safely handling toxic telemetry and confidential records- Multi-tenant techniques and transformation processes- Updating metrics aggregation and sampling traces to display accurate data for longer- Revising software telemetry emissions to be easier to parse- Justifying increased spend on telemetry software about the readerFor software developers and infrastructure engineers supporting and building telemetry systems. about the authorJamie Riedesel is a staff engineer at Dropbox. She has over twenty years of experience in IT, working in government, education, legacy companies, and startups. She has specialized in DevOps for the past decade, running distributed systems in public clouds, getting over workplace trauma, and designing software telemetry architectures.

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In Learn Kubernetes in a Month of Lunches you'll go from "what's a Pod?" to automatically scaling clusters of containers and components in just 22 hands-on lessons, each short enough to fit into a lunch break. Every lesson is task-focused and covers an essential skill on the road to Kubernetes mastery. You'll learn how to smooth container management with Kubernetes, including securing your clusters, and upgrades and rollbacks with zero downtime. No development stack, platform, or background is assumed. Author Elton Stoneman describes all patterns generically, so you can easily apply them to your applications and port them to other projects! about the technologyCreate apps that perform identically on your laptop, data center, and cloud! Kubernetes provides a consistent method for deploying applications on any platform, making it easy to grow. By efficiently orchestrating Docker containers, Kubernetes simplifies tasks like rolling upgrades, scaling, and self-healing. about the book Learn Kubernetes in a Month of Lunches is your guide to getting up and running with Kubernetes. You'll progress from Kubernetes basics to essential skills, learning to model, deploy, and manage applications in production. Exercises demonstrate how Kubernetes works with multiple languages and frameworks. You'll also practice with new apps, legacy code, and serverless functions. what's inside Deploying applications on Kubernetes clusters Understanding the Kubernetes app lifecycle, from packaging to rollbacks Self-healing and scalable apps Using Kubernetes as a platform for new technologies about the readerFor readers familiar with Docker and containerization. about the author Elton Stoneman is a Docker Captain, a 11-time Microsoft MVP, and the author of Learn Docker in a Month of Lunches.

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Microservices in .NET Core, Second Edition is a comprehensive guide to building microservice applications using the .NET stack. After a crystal-clear introduction to the microservices architectural style, it teaches you practical microservices development skills using MVC Core and ASP.NET Core. This second edition of the bestselling original has been revised with up-to-date tools for the .NET ecosystem, and more new coverage of scoping microservices and deploying to Kubernetes. about the technologyMicroservice applications are built by connecting single-capability, autonomous components that communicate via APIs. Microservice architectures boost productivity, support Agile workflows, and decrease the risks of catastrophic failures. However, they can be a big challenge to develop, as they demand clearly defined interfaces and reliable infrastructure. Luckily for developers, Microsoft’s own MVC Core and ASP.NET Core frameworks help manage the tricky API and simplify the task of building microservice-based applications. about the book Microservices in .NET Core, Second Edition provides a complete guide to building microservice applications. You’ll start by getting to grips with the unique architectural style of microservices, explained in a way that’s clear and accessible. You’ll move on quickly to practical development skills for building your own microservices using MVC Core and ASP.NET Core, working on real-world projects such as an ecommerce shopping cart. You'll design and build individual services in C# and learn how to compose them into a simple but functional application back end. In brand-new coverage for the second edition, you’ll also learn about scoping microservices and how to handle the complexities of deploying to Kubernetes. Along the way, you'll address production and operations concerns like monitoring, logging, and security. what's inside Build scalable microservices that are reliable in production Optimized microservices for continuous delivery Design event-based collaboration between microservices Deploy microservices to Kubernetes Set up Kubernetes in Azure about the readerThis book is written for C# developers. No previous experience with microservices required. about the author Christian Horsdal is an independent consultant with 20 years of experience building systems from large scale microservice systems to tiny embedded systems--and lots of stuff in between. He is a .NET expert, author of the books Microservices in .NET Core and Instant Nancy Web Development, a trainer, and an occasional open source contributor.

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If you’re browsing the web, using public APIs, making and receiving electronic payments, registering and logging in users, or experimenting with blockchain, you’re relying on cryptography. And you’re probably trusting a collection of tools, frameworks, and protocols to keep your data, users, and business safe. It’s important to understand these tools so you can make the best decisions about how, where, and why to use them. Real-World Cryptography teaches you applied cryptographic techniques to understand and apply security at every level of your systems and applications. about the technologyCryptography is the foundation of information security. This simultaneously ancient and emerging science is based on encryption and secure communication using algorithms that are hard to crack even for high-powered computer systems. Cryptography protects privacy, secures online activity, and defends confidential information, such as credit cards, from attackers and thieves. Without cryptographic techniques allowing for easy encrypting and decrypting of data, almost all IT infrastructure would be vulnerable. about the book Real-World Cryptography helps you understand the cryptographic techniques at work in common tools, frameworks, and protocols so you can make excellent security choices for your systems and applications. There’s no unnecessary theory or jargon—just the most up-to-date techniques you’ll need in your day-to-day work as a developer or systems administrator. Cryptography expert David Wong takes you hands-on with cryptography building blocks such as hash functions and key exchanges, then shows you how to use them as part of your security protocols and applications. Alongside modern methods, the book also anticipates the future of cryptography, diving into emerging and cutting-edge advances such as cryptocurrencies, password-authenticated key exchange, and post-quantum cryptography. Throughout, all techniques are fully illustrated with diagrams and real-world use cases so you can easily see how to put them into practice. what's inside Best practices for using cryptography Diagrams and explanations of cryptographic algorithms Identifying and fixing cryptography bad practices in applications Picking the right cryptographic tool to solve problems about the readerFor cryptography beginners with no previous experience in the field. about the author David Wong is a senior engineer working on Blockchain at Facebook. He is an active contributor to internet standards like Transport Layer Security and to the applied cryptography research community. David is a recognized authority in the field of applied cryptography; he’s spoken at large security conferences like Black Hat and DEF CON and has delivered cryptography training sessions in the industry.

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Take the pain out of managing serverless applications. Knative, a collection of Kubernetes extensions curated by Google, simplifies building and running serverless systems. Knative in Action guides you through the Knative toolkit, showing you how to launch, modify, and monitor event-based apps built using cloud-hosted functions like AWS Lambda. You’ll learn how to use Knative Serving to develop software that is easily deployed and autoscaled, how to use Knative Eventing to wire together disparate systems into a consistent whole, and how to integrate Knative into your shipping pipeline. about the technologyWith Knative, managing a serverless application’s full lifecycle is a snap. Knative builds on Kubernetes orchestration features, making it easy to deploy and run serverless apps. It handles low-level chores—such as starting and stopping instances—so you can concentrate on features and behavior. about the book Knative in Action teaches you to build complex and efficient serverless applications. You’ll dive into Knative’s unique design principles and grasp cloud native concepts like handling latency-sensitive workloads. You’ll deliver updates with Knative Serving and interlink apps, services, and systems with Knative Eventing. To keep you moving forward, every example includes deployment advice and tips for debugging. what's inside Deploy a service with Knative Serving Connect systems with Knative Eventing Autoscale responses for different traffic surges Develop, ship, and operate software about the readerFor software developers comfortable with CLI tools and an OO language like Java or Go. about the author Jacques Chester has worked in Pivotal and VMWare R&D since 2014, contributing to Knative and other projects.

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Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technologyAccess to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization's data, and present it as useful business insights. about the bookIn Designing Cloud Data Platforms, you’ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you’ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you’ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what's inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the readerFor data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.

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Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the data science and Python skills you’ll use as a professional data scientist. Ranging from text processing to machine learning, each project comes complete with a unique downloadable data set and a fully-explained step-by-step solution. Because these projects come from Dr. Apeltsin’s vast experience, each solution highlights the most likely failure points along with practical advice for getting past unexpected pitfalls. When you wrap up these five awesome exercises, you’ll have a diverse relevant skill set that’s transferable to working in industry. what's inside Five in-depth Python exercises with full downloadable data sets Web scraping for text and images Organise datasets with clustering algorithms Visualize complex multi-variable datasets Train a decision tree machine learning algorithm about the readerFor readers who know the basics of Python. No prior data science or machine learning skills required. about the author Leonard Apeltsin is a senior data scientist and engineering lead at Primer AI, a startup that specializes in using advanced Natural Language Processing techniques to extract insight from terabytes of unstructured text data. His PhD research focused on bioinformatics that required analyzing millions of sequenced DNA patterns to uncover genetic links in deadly diseases.

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Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Deploying computer vision, audio, and natural language processing in the browser Fine-tuning machine learning models with client-side data Constructing and training a neural network Interactive AI for browser games using deep reinforcement learning Generative neural networks to generate music and pictures TensorFlow.js is an open-source JavaScript library for defining, training, and deploying deep learning models to the web browser. It’s quickly gaining popularity with developers for its amazing set of benefits including scalability, responsiveness, modularity, and portability. Shanging Cai and Eric Nielsen are senior software engineers on the Google Brain team. Stan Bileschi is the technical lead for Google’s TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, they’re responsible for writing most of TensorFlow.js.

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Description The modern world turns on universally-accepted ideas of currency and ownership. Bitcoin, and its underlying technology, offer the potential to move control of these key institutions from change-prone governments to a secure storage system that independently records value and ownership in a distributed public ledger called "the blockchain." Grokking Bitcoin opens up this powerful distributed ledger system, exploring the technology that enables applications both for Bitcoinbased financial transactions and using the blockchain for registering physical property ownership. Key features · Jargon-free · Step-by-step guide · Real-world examples Audience This book provides a jargon-free introduction to Bitcoin for any technically interested reader. Some chapters address technical concepts that require basic knowledge of networking and programming. About the technologyBitcoin is an electronic cash system. It allows for people to move bitcoins, the currency of Bitcoin, between each other without using a bank or any other trusted third party.

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Description Progressive Web Apps are built with a collection of technologies, design concepts, and Web APIs that work in tandem to provide an applike experience on the mobile web. Progressive Web Apps takes readers, step-by-step, through real world examples and teaches them how to build fast, engaging, and reliable websites. This book is written with stand-alone chapters, letting readers learn about particular features of interest without having read previous chapters. Key features • Hands- on examples • Stand-alone chapters • Step-by-step guide Audience Readers should have some experience with developing websites using HTML, CSS and JavaScript. About the Technology Progressive Web Apps let you create fast, resilient applications that benefit users regardless of their connection speed or device constraints.

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Kafka Streams is a library designed to allow for easy streamprocessing of data flowing into a Kafka cluster. Stream processing hasbecome one of the biggest needs for companies over the last few yearsas quick data insight becomes more and more important but currentsolutions can be complex and large, requiring additional tools toperform lookups and aggregations. Kafka Streams in Action teaches readers everything they need to knowto implement stream processing on data flowing into their Kafkaplatform, allowing them to focus on getting more from their datawithout sacrificing time or effort. By the end of the book, readers willbe ready to use Kafka Streams in their projects to reap the benefits ofthe insight their data holds quickly and easily. KEY FEATURES• Hands-on lessons• Step-by-step instructions• Thorough introduction to Kafka Streams This book is suitable for all Java (or JVM language) developerslooking to discover the world of stream processing and its manybenefits. Knowledge of Kafka is not required, but would be a bonus. ABOUT THE TECHNOLOGYKafka Streams is a library that allows you to perform per-eventprocessing of records. AUTHOR BIOBill Bejeck is a Kafka Streams contributor with over 13 years of softwaredevelopment experience. With 6 years working exclusively on the back-endand large data volumes, Bill currently uses Kafka to improve data flow todownstream customers.

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Description As a developer, you need to build software in a secure way. But you can't spend all your time focusing on security. The answer is to use good design principles, tools, and mindsets that make security an implicit result - it's secure by design. Secure by Design teaches developers how to use design to drive security in software development. This book is full of patterns, best practices, and mindsets that you can directly apply to your real world development. Key features · Use good design to create secure software · Apply design concepts in real-world cases · Spot hidden security problems · Assess security by identifying design patterns · Understand benefits and limitations of secure-by-design Audience Readers should have some experience in Java, C#/.NET, or similar language. About the technology Secure-by-design becomes a guiding principle in how you build your software, from code to architecture. This begins by understanding designs and patterns that promote security so they become easy to apply in your day-to-day work.

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Description Xamarin is a toolset that allows users to write native mobile apps in C# and run them on both iOS and Android devices. Xamarin in Action teaches readers how to build Xamarin apps on iOS and Android from scratch while maximizing code re-use. By the end, readers will be able to build a high quality production-ready Xamarin app on iOS and Android from scratch with a high level of code reuse. Key Features • Layer-by-layer guide • Hands-on lessons • Teaches you to build production ready apps Audience This book is for C# developers with a few months through many years of experience who want to build native mobile apps for iOS and Android using the language and toolset they already know. About the technology Xamarin gives users the ability to share large portions of code across two platforms while still letting them write native apps that can take full advantage of the device and OS features specific to each platform. Jim Bennett is a Xamarin MVP, Microsoft MVP, Xamarin Certified Developer and an active community member. He's also a frequent speaker at events all around the world, including Xamarin user groups and Xamarin and Microsoft conferences. He regularly blogs about Xamarin development at https://jimbobbennett.io.

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Mobile apps are a big part of people’s lives, with apps for just aboutanything. An app's UX can help it stand out and be the key to itssuccess. But often, developers find UX intimidating and don’t knowwhere to begin. Usability Matters gives app developers practical advice and guidanceon how to improve the UX of their mobile apps on any platform. Afterthey read this book from cover to cover, they’ll find themselvesreaching for it again and again as a reference each time they develop anew app. • Practical advice and guidance• Provides theory and background on the technology• Hands-on teaching This book is for anyone who is developing an app and wants to create agreat user experience, regardless of mobile platform. ABOUT THE TECHNOLOGYThe user experience (UX) of an app can be key to its success but isoften something that developers don’t know how to approach or isconsidered a part of design that is intimidating and overlooked. AUTHOR BIOMatt Lacey has been creating apps for mobile devices since 2001. He iscurrently working as an independent mobile development consultant, helpingcompanies of all sizes with strategy, planning and implementation of mobiledevelopment solutions. Matt is a community leader and Microsoft MVP whoorganizes user group meetings to help people learn to create better apps.

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Machine learning applications autonomously reason about data at massive scale. It’s important that they remain responsive in the face of failure and changes in load. But machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. Reactive Machine Learning Systems teaches readers how to implement reactive design solutions in their machine learning systems to make them as reliable as a well-built web app. Using Scala and powerful frameworks such as Spark, MLlib, and Akka, they’ll learn to quickly and reliably move from a single machine to a massive cluster. Key Features: · Example-rich guide · Step-by-step guide · Move from single-machine to massive cluster Readers should have intermediate skills in Java or Scala. No previous machine learning experience is required. About the Technology: Machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. To make machine learning systems reactive, you need to understand both reactive design patterns and modern data architecture patterns.

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DESCRIPTION Nim is a new general-purpose programming language that offers support for systems programming, object oriented programming, procedural programming, functional programming, and more. Nim combines the speed of C with the expressiveness of Python and the flexibility of Lisp and it compiles to C as well as C++, Objective C, and even JavaScript. Nim's features make it perfect for developing anything from web applications to operating systems. Nim in Action introduces the Nim programming language and teaches readers how to write native software applications and libraries, web applications, embedded device software, and programs that communicate over the internet. This book is full of hands-on examples that teach how to test, debug, document, and package Nim applications. It also reveals how to interface with foreign languages such as C and C++ and how to use metaprogramming features to write domain specific languages. This book demonstrates how to implement a fully-functioning chat server, a Twitter clone, and many other software projects. It provides readers with a solid knowledge of Nim and the ability to use it to write powerful, portable and efficient applications. KEY FEATURES • Teaches how to write portable and efficient applications in Nim • Written by one of the main contributors to the Nim language • Lots of practical, real world examples • Full of hands on code samples and projects • Compile to C, C++, Objective C, and even JavaScript AUDIENCE This book assumes you’re a working developer proficient with another language like Java, Ruby, Python, C#, or C++. ABOUT THE TECHNOLOGY Nim is a new programming language that allows developers to write efficient software using a compiler, which produces native binaries with zero dependencies via compilation to the C programming language. It is the only programming language which combines the speed of C with the expressiveness of Python and the flexibility of Lisp.

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Microservices are small, but they offer big value. A microservice is a very small piece of a larger system that can be coded by one developer within one iteration. Microservices can be added and removed individually, new developers can be immediately productive, and legacy code is easily replaced. Developers are no longer hampered by the communication and coordination overhead caused by monolithic systems. Savvy businesses are discovering that software development productivity can be greatly enhanced with the right engineering approach that enables even junior developers to double their productivity, while reducing delivery risk. The Tao of Microservices presents readers with the path to understanding how to apply microservices architecture in their realworld projects. This high-level book offers a conceptual view of microservice architectures, along with core concepts and their application. It also includes a detailed case study for the nodezoo.com system, including all source code and documentation. By the end of the book, readers will have explored in depth the key ideas of the microservice architecture and will be able to design, analyze and implement systems based on this architecture. Key Features:• Key principles of the microservice architecture • Applying these principles to real-world projects • Implementing large-scale systems • Detailed case study AUDIENCE This book is for developers, architects, or managers who want to deliver faster, meet changing business requirements, and build scalable and robust systems. ABOUT THE TECHNOLOGY A microservice is a very small piece of a larger system that can be coded by one developer within one iteration. Microservices can be added and removed individually, new developers can be immediately productive, and legacy code is easily replaced.

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　 DESCRIPTION Anyone Can Create an App is based on the lofty premise that anyone can begin programming given the right tools and the right help. With some time set aside and the course-work in this book, readers will be able to program their first, fully working iPhone or iPad Application. They’ll wonder why they never did it before! Anyone Can Create an App provides the EASY starting point for those people who have never programmed before but who always wanted to build iPhone and iPad apps. It starts with the absolute basics and progresses without leaving gaps so that the non-technical person can feel confident going from green to full-grown. Readers will create several apps for their iPhone and get a huge sense of accomplishment along the way. The book also demystifies some of the "insider terms" that programmers use. KEY FEATURES  Short easy, easy to digest chapters  No programming experience necessary  Gain useful knowledge of iPhone and iPad programming AUDIENCE The Swift programming language is an ideal first language. Non-programmers can finally learn to code in iOS for iPhones and iPads without prior knowledge. ANYONE can create an App! ABOUT THE TECHNOLOGY Mobile development needs continue to skyrocket and many people want to get in the surge, but they don’t know how to program. Swift is an easy to use intuitive programming language for iOS, OS X, and watchOS and makes an ideal first language.

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DESCRIPTION In the cloud computing model, a cluster of physical computers hosts an environment that provides shared services (public and private) and offers the flexibility to easily add, remove, and expand virtual servers and applications. OpenStack is an open source framework that can be installed on individual physical servers to a cloud platform and enables the building of custom infrastructure (IaaS), platform (PaaS), and software (SaaS) services without the high cost and vendor lock-in associated with proprietary cloud platforms. OpenStack in Action offers real world use cases and step-by-step instructions to develop cloud platforms from inception to deployment. It explains the design of both the physical hardware cluster and the infrastructure services needed to create a custom cloud platform. It shows how to select and set up virtual and physical servers, implement software-defined networking, and the myriad other technical details required to design, deploy, and operate an OpenStack cloud in an enterprise. It also discusses the cloud operation techniques needed to establish security practices, access control, efficient scalability, and day-to-day DevOps practices. RETAIL SELLING POINTS Real world examples Thorough step-by-step instruction Shows how to harness the power of OpenStack AUDIENCE The book is perfect systems administrators, developers, and architects interested in the design, construction, and operation of clouds using OpenStack. No prior experience with OpenStack or cloud development required. ABOUT THE TECHNOLOGY OpenStack as a framework for managing, designing, defining, and utilizing cloud resources. There are over 13k OpenStack contributors in over 131 countries. Every major IT vendor has some form of OpenStack representation, even those with directly competing products.

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Razor Pages lets you build, configure, and deploy amazing dynamic ASP.NET websites with ease. In ASP.NET Core Razor Pages in Action you will learn: Building, configuring, and publishing a data-driven website Creating a complete web application step-by-step Forms for collecting and processing user data Connecting to databases from a Razor Page Protecting areas of a Razor Page from unauthorized access with ASP.NET Identity Using Object Relational Mapping tools to work with data in Razor Pages applications Generating CRUD pages using scaffolding gestures Generating and sending email from your web application ASP.NET Core Razor Pages in Action teaches you to develop dynamic websites using the powerful Razor Pages framework, .NET 6, and ASP.NET. Razor Pages generates HTML on the server, and is the perfect choice for eCommerce sites, intranet services, content management systems, and other apps that require reliability. In this book, you'll use Razor Pages to build a complete application for booking city breaks, learning to iterate amazing new features chapter-by-chapter. about the technology Razor Pages sits on top of .NET 6 as a key part of ASP.NET Core, and has become the recommended tool for any developer building websites with Microsoft technologies. The page-focused framework is great for building dynamic websites that change frequently, and simplifies the process of building complex applications. about the book ASP.NET Core Razor Pages in Action shows you how to use Razor Pages to create dynamic websites that are easy to test and scale. You'll go hands-on to build a complete vacation-booking application, incorporating new framework features and adding complexities as they're introduced. As the application unfolds, you'll see how Razor Pages simplifies all the essential tasks of web development, from form creation and data processing, to easy publication and deployment. You'll also learn to enhance your web applications with the huge ecosystem of C# libraries, and how to locate the perfect tool for your task using centralized repositories.

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Discover the power that functional programming brings to your Scala code. This international bestseller has been revised with new exercises, annotations, and full coverage of Scala 3. In Functional Programming in Scala, Second Edition you will learn how to: Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviors Write code that performs I/O without sacrificing functional programming The first edition of Functional Programming in Scala has helped over 30,000 developers discover the power of functional programming. This second edition is fully updated to Scala 3 and the latest standards of FP. Inside, you'll find a serious tutorial for programmers looking to apply functional programming to improve their everyday coding practices. You'll progress from the basics to advanced topics in a logical, concise, and clear progression. Throughout, concrete examples and exercises open up the world of functional programming. about the technology Functional programming (FP) is a style of software development emphasizing functions that don't depend on program state. Functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs than other code. Scala is a popular JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with Java make Scala a great place to start learning FP. about the book Functional Programming in Scala, Second Edition teaches you functional programming from first principles using the powerful Scala language. You'll develop the unique skills you need to start thinking functionally through hands-on exercises and coding challenges. New to the revised second edition, each exercise comes with extensive annotations to help you understand functional programming in-depth. You'll even learn how to build your own Scala functional library that's perfectly adapted to your needs. You'll soon be writing Scala code that's easier to read, easier to reuse, better for concurrency, and less prone to bugs and errors. RETAIL SELLING POINTS Recognize and write purely functional code Work with errors without using exceptions Work with state and concurrency Interact with functional structures that define common behaviours Write code that performs I/O without sacrificing functional programming AUDIENCE For programmers experienced in Java or Scala. No prior knowledge of functional programming required.

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Understanding Java from the JVM up gives you a solid foundation to grow your expertise and take on advanced techniques for performance, concurrency, containerization, and more. In The Well-Grounded Java Developer, Second Edition you will learn: The new Java module system and why you should use it Bytecode for the JVM, including operations and classloading Performance tuning the JVM Working with Java's built-in concurrency and expanded options Programming in Kotlin and Clojure on the JVM Maximizing the benefits from your build/CI tooling with Maven and Gradle Running the JVM in containers Planning for future JVM releases The Well-Grounded Java Developer, Second Edition introduces both the modern innovations and timeless fundamentals you need to know to become a Java master. Authors Ben Evans, Martijn Verburg, and Jason Clark distil their decades of experience as Java Champions, veteran developers, and key contributors to the Java ecosystem into this clear and practical guide. about the technology Java's history of innovation, its huge collection of libraries and frameworks, and the flexibility of the JVM have cemented its place as one of the world's most popular programming languages. Although it's easy to get started with Java, understanding how the language intersects with the JVM is the key to unlocking the power of this awesome language and its deep ecosystem of frameworks, tools, and alternative JVM-based languages. about the book The Well-Grounded Java Developer, Second Edition is a complete revision of the classic original with the latest innovations of the Java platform. It upgrades your existing Java skills with both JVM fundamentals like bytecode, and powerful new features such as modules and concurrency models. You'll broaden your understanding of what's possible by exploring Kotlin and other JVM languages, and learn how functional programming can offer a powerful new perspective. Each concept is illustrated with hands-on examples, including a fully modularized application/library, build setups for Maven and Gradle, and creating your own multithreaded application.

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TensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning models with the new features of TensorFlow 2.0is filled with engaging projects, simple language, and coverage of the latest algorithms. TensorFlow 2.0 in Action teaches you to use the new features of TensorFlow 2.0 to create advanced deep learning models. You'll learn by building hands-on projects including an image classifier that can recognize objects, a French-to-English machine translator, and even a neural network that can write fiction. You'll dive into the details of modern deep learning techniques including both transformer and attention models, and learn how pretrained models can solve your tricky data science- problems. TensorFlow is the go-to framework for putting deep learning into production. Created by Google, this ground breaking tool handles repetitive low-level operations and frees you up to focus on innovating your AIs.TensorFlow encompasses almost every element of a deep learning pipeline—aone-stop solution for building, monitoring, optimizing, and deploying your models.

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In this fully updated and new edition, you’ll get hands-on practice with the basics, including setting up cloud-based virtual machines, deploying web servers, and using hosted data stores. As you work through the book’s 21 carefully planned lessons, you’ll explore big-picture concerns like security, scaling, and automation. Learn Azure in a Month of Lunches, Second Edition teaches you the most important skills you’ll need to write, deploy, and run cloud-based applications in Azure. Key Features · Understand Azure beyond point-and-click processes · Getting started, from your first login · Writing and deploying web servers · Securing your applications and dana · Automating your environment Readers should be able to write and deploy simple web or client/server applications. About the technology With hundreds of features and prebuilt services, the Microsoft Azure cloud platform is vast and powerful. To get started, you need a trustworthy guide. In this hands-on book, Microsoft engineer and Azure trainer Iain Foulds focuses on the core skills you need to create and maintain cloud-based applications. Iain Foulds is an engineer and senior content developer with Microsoft.

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Unit Testing: Principles, Patterns and Practices shows you how to refine your existing unit tests by implementing modern best practices. You’ll learn to spot which tests are performing, which need refactoring, and which need to be deleted entirely! Upgrade your testing suite with new testing styles, good patterns, and reliable automated testing. Unit Testing: Principles, Practices and Patterns is a practical guide to modern unit testing best practices. Microsoft MVP Vladimir Khorikov takes you hands-on with examples of the ideal unit test and unit testing practices, building your skills step by step on a solid foundation. Key Features · A universal frame of reference by which to assess any unit test · Common anti-patterns to identify and avoid · Guidelines on how to refactor a test suite along with the · production code it covers · Using integration tests to verify the behavior of the system as a whole For readers who know the basics of unit testing and want to improve their techniques to get the best return on their efforts. Examples are in C# but apply in any language About the technology Test automation has turned unit testing into a standard practice in software development. The right unit test suite gives great outcomes and is vital to delivering quality software. Author Bio Vladimir Khorikov is an author, blogger, and Microsoft MVP. He has been developing software professionally for over ten years, and has mentored numerous teams on the ins and outs of unit testing.

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Learn Quantum Computing with Python and Q# demystifies quantum computing. Using Python and the new quantum programming language Q#, you’ll learn QC fundamentals as you apply quantum programming techniques to real-world examples including cryptography and chemical analysis. Learn Quantum Computing with Python and Q# builds your understanding of quantum computers, using Microsoft’s Quantum Development Kit to abstract away the mathematical complexities. You’ll learn QC basics as you create your own quantum simulator in Python, then move on to using the QDK and the new Q# language for writing and running algorithms very different to those found in classical computing. Key Features · The underlying mechanics of how quantum computers work · How to simulate qubits in Python · Q# and the Microsoft Quantum Developer Kit · How to apply quantum algorithms to real-world examples For readers with basic programming skills and some experience of linear algebra, calculus and complex numbers. About the technology Quantum computing is the next step in computing power and scalability, with the potential to impact everything from data science to information security. Using qubits, the fundamental unit of quantum information, quantum computers can solve problems beyond the scale of classical computing. Software packages like Microsoft's Quantum Development Kit and the Q# language are now emerging to give programmers a quick path to exploring quantum development for the first time. Christopher Granade completed his PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing, and now works in the Quantum Architectures and Computation (QuArC) group at Microsoft. He works in developing the standard libraries for Q# and is an expert in the statistical characterization of quantum devices from classical data. Previously, Christopher helped Scott Aaronson prepare lectures into his recent book, Quantum Computing Since Democritus. Sarah Kaiser completed her PhD in physics (quantum information) at the University of Waterloo’s Institute for Quantum Computing. She has spent much of her career developing new quantum hardware in the lab, from satellites to hacking quantum cryptography hardware. Communicating what is so exciting about quantum is her passion, and she loves finding new demos and tools to help enable the quantum community to grow. When not at the keyboard, she loves kayaking and writing books about engineering for kids.

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Description Swift is more than just a fun language to build iOS applications with. It features a host of powerful tools that, if you know how to effectively use them, can help create even better apps with clean, crystal-clear code and awesome features. Swift in Depth builds on the reader’s core Swift language skills, introducing them to powerful techniques like using higher-order functions, generics, efficient error handling, and protocol-oriented programming. Key features · Adding advanced Swift features to code · Writing reusable code with generics · Iterators, sequences, and collections Audience Readers should have some prior experience with the basics of Swift. About the technology Apple's Swift is the standard language for iOS and Mac development. It's is a modern marvel—easy to pick up, comfortable to use, and loaded with features. Tjeerd in 't Veen is a senior software engineer and architect who builds iOS apps. Having worked together with many developers, he currently helps creating clean, scalable architectures in the mobile division of a large international banking firm.

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It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game. Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine. Key Features · Getting started with neural networks · Building your Go AI · Improving how your Go-bot plays and reacts Audience No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go! Author Bio Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company skymind.ai. He is the cofounder of the Deep Learning platform aetros.com. Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.

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Description A new generation of serverless tools, including Claudia.js, make it radically easier to set up serverless web applications so users can focus on what their app does instead of meddling with infrastructure configuration and deployment. Serverless Apps with Node and Claudia.js walks readers through building serverless apps on AWS using JavaScript. They’ll learn to simplify the design and development process so they can focus on getting their application deployed as fast as possible without sacrificing quality. Key features · Create a serverless API using AWS Lambda and Claudia.js · Build a voice assistant with Amazon Alexa · Develop microservices with Node.js, AWS Lambda, S3, and more · Create a chatbot for multiple platforms Audience Written for beginner and intermediate web developers comfortable with JavaScript and Node.js. Some prior experience with AWS is required. About the technology Serverless computing services like AWS Lambda and API Gateway can be tedious to set up, aren't designed to work well with JavaScript and Node, and most of the quirks and gotchas aren't well documented. Claudia doesn't alter your project layout or abstract away the core AWS services; it just makes it easier to get started with them!

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Description AWS gives users the networking, compute, and security services they need without making them pay for anything they’re not actually using. With almost a hundred individual AWS services, putting all the pieces together is not a simple thing. That's where this book can help. Learn Amazon Web Services in a Month of Lunches guides readers through the process of building a robust and secure web application using the core AWS services they really need to know. When they’re done, readers will be comfortable with the basics, and know exactly where to look when they’re ready for more. Key features • Bite-sized lessons • Step-by-step guide • Thorough introduction • Hands-on examples Audience This book is for developers, system administrators, or anyone looking for an introduction to using AWS cloud. A basic understanding of TCP/IP networking is helpful, but not required. About the Technology Amazon Web Services is, by all metrics, the giant of the cloud computing world. Not only does it dominate in terms of user adoption and market share, but its innovative and highly integrated services have defined the way networked digital services are delivered.

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DESCRIPTION Although Spring Framework simplifies enterprise Java development, it can require a lot from developers in terms of framework configuration. Spring Boot radically streamlines the process of creating Spring applications by employing automatic configuration, along with a programming model built around established conventions for build-time and runtime dependencies. It also provides a component that gives insight into the internals of a running application and a handy CLI that can be used to write command-line scripts in Groovy. Developers who have used Spring Boot say that they can't imagine ever going back to hand-configuring their applications. Spring Boot in Action is a developer-focused guide to writing applications using Spring Boot. It shows readers how to bypass the tedious configuration steps so that they can concentrate on their application's behavior. Using interesting, relevant examples, Spring expert Craig Walls shows both how to use the default settings effectively and how to override and customize Spring Boot for each unique environment. Along the way, it offers insights from Craig's years of Spring development experience. KEY SELLING POINTS Practical hands-on guide Quickly develop Spring applications Author insights based on years of Spring Development Covers newest features of Spring Boot AUDIENCE Written for readers familiar with the Spring Framework. ABOUT THE TECHNOLOGY Spring Boot brings a convention-over-configuration programming model to the Spring Framework. With Spring Boot, Spring developers can focus on producing application functionality with little effort spent on configuring Spring itself.

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DESCRIPTION Types are often seen as a tool for checking errors, with the programmer writing a complete program first and using the type checker to detect errors. And while tests are used to show presence of errors, they can only find errors that you explicitly test for. In typedriven development, types become your tools for constructing programs and, used appropriately, can show the absence of errors. And you can express precise relationships between data, your assumptions are explicit and checkable, and you can precisely state and verify properties. Type-driven development lets users write extensible code, create simple specifications very early in development, and easily create mock implementation for testing. Type-Driven Development with Idris, written by the creator of Idris, teaches programmers how to improve the performance and accuracy of programs by taking advantage of a state-of-the-art type system. This book teaches readers using Idris, a language designed from the very beginning to support type-driven development. Readers learn how to manipulate types just like any other construct (numbers, strings, lists, etc.). This book teaches how to use type-driven development to build real-world software, as well as how to handle side-effects, state and concurrency, and interoperating with existing systems. By the end of this book, readers will be able to develop robust and verified software in Idris and apply type-driven development methods to programming in other languages. KEY FEATURES• Written by the creator of Idris • Improve performance and accuracy of programs • Teaches Idris, a new type-driven development language • Hands-on code examples • Build real-world software AUDIENCE Written for programmers with knowledge of basic functional programming concepts. ABOUT THE TECHNOLOGY Type-driven development lets you write extensible code, create simple specifications very early in development, and easily create mock implementation for testing. In type-driven development, types become your tools for constructing programs and, used appropriately, can show the absence of errors.

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DESCRIPTION Many of the normal concerns faced by application developers are amplified by the challenges of web-scale concurrency, real-time performance expectations, multi-core support, and efficiently consuming services without constantly managing I/O blocks. Although it's possible to solve most of these issues with existing languages and frameworks, Go is designed to handle them right out of the box, making for a more natural and productive coding experience. Developed at Google for its own internal use, Go now powers dozens of nimble startups, along with name brands like Canonical, Heroku, SoundCloud, and Mozilla, who rely on highly performant services for their infrastructure. Go in Action introduces the unique features and concepts of the Go language, guiding readers from inquisitive developers to Go gurus. It provides hands-on experience with writing real-world applications including web sites and network servers, as well as techniques to manipulate and convert data at incredibly high speeds. It also goes in-depth with the language and explains the tricks and secrets that the Go masters are using to make their applications perform. For example, it looks at Go's powerful reflection libraries and uses real-world examples of integration with C code. KEY SELLING POINTS Written by Go developers Real use cases faced in day-to-day development Get tricks and tips from experienced Go users AUDIENCE This book assumes you're a working developer proficient with another language like Java, Ruby, Python, C#, or C++. ABOUT THE TECHNOLOGY Go is a powerful language that is gaining rapid adoption by companies that want to write fast systems while allowing their developers to use modern programming languages. Go development is sponsored and curated by Google, but has contributors from around the globe.

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Learn Python the fun and easy way with your new friends Erik and Simon! A Pythonic Adventure, is a unique Python beginners guide, written especially for young people. This colorful book uses engaging questions and lively conversations to introduce computer programming to young readers one step at a time. There are no boring lessons or dull exercises; instead, you will team up with two brothers, Erik and Simon, who are busy talking about Python programming and asking the same questions you are! As you follow along, you will learn from the brothers' mistakes, discover how to write programs with a team, and get a chance to create applications you can use in your daily life. All code in this book runs on Mac, Windows, Linux, and Raspberry Pi. The engaging questions and lively conversations in the book will help you learn useful Python skills like: Installing Python Working with files Creating text-based dialog boxes and menus Using if/then, loops, list, dictionaries, and input/output Building web applications Making your web apps look super professional It's fun to learn with friends! Join them as they chat about the language, learn the basics, and build some cool programs. It's the perfect way for young programmers (and their parents!) to get started. About the technology Python is one of the best languages for new programmers! Its creators designed it to be easy to learn and easy to use. But Python isn't just a language for beginners — it is used for all sorts of things, from web apps to artificial intelligence! Open up this fun, friendly guide and you will see just how easy it is to get started with Python.

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Get ready to code like a pro in Rust! This hands-on guide dives deep into memory management, asynchronous programming, and Rust design patterns and explores essential productivity techniques like testing, tooling, and project management. In Code Like A Pro in Rust you will learn: Essential Rust tooling Core Rust data structures Memory management Design patterns for Rust Testing in Rust Asynchronous programming for Rust Optimized Rust Rust project management Code Like A Pro in Rust is a fast-track guide to building and delivering professional quality software in Rust. You'll upgrade your basic knowledge of Rust with conventions, best practices, and veteran's secrets that are normally only learned through years of experience. Skip the fluff and get right to the heart of this powerful modern language, including Rust's support for asynchronous programming and integrating Rust with codebases written in other languages. about the technology Programmers prize Rust for its safety, performance, and security. However, its strict syntax and tricky memory management can make it challenging to master. This practical guide shows you how to balance Rust's trade offs, lessen its cognitive load, and rapidly bring your productivity to a professional level. about the book Code Like a Pro in Rust shows you how to quickly create and ship Rust programs without wasting time on language quirks, compiler problems, and unexpected complexities. It builds on your existing Rust knowledge with design patterns and shortcuts direct from veteran Rust contributor Brenden Matthews. You'll learn to use important Rust tooling like rust-analyzer, Clippy, and Cargo, as well as best practices for unit testing and code optimization. By the time you're done, you'll be writing high quality code with less maintenance overhead. RETAIL SELLING POINTS • Essential Rust tooling • Core Rust data structures • Memory management • Design patterns for Rust • Testing in Rust • Asynchronous programming for Rust • Optimized Rust • Rust project management AUDIENCE For aspiring Rust pros familiar with the basics of the language.

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Guarantee the quality and consistency of your web APIs by implementing an automated testing process. In Testing Web APIs you will: Design and implement a web API testing strategy Set up a test automation suite Learn contract testing with Pact Facilitate collaborative discussions to test web API designs Perform exploratory tests Experiment safely in a downloadable API sandbox environment Testing Web APIs teaches you to plan and implement the perfect testing strategy for your web APIs. In it, you'll explore dozens of different testing activities to help you develop a custom testing regime for your projects. You'll learn to take a risk-driven approach to API testing, and build a strategy that goes beyond the basics of code and requirements coverage. about the technology To other developers, your API is the face of your application. Thorough, well-designed testing ensures that your APIs will perform as expected, every time. Impeccable API testing goes beyond the basics of code coverage, to encompass documentation and design that sends the right information to your third-party users. A robust testing strategy helps you avoid costly errors that can damage your revenue, your reputation, and your user's trust. about the book In Testing Web APIs you'll develop a diverse testing program that gets your whole team involved in ensuring quality. This practical book demystifies abstract strategic concepts by applying them to common API testing scenarios, revealing how these complex ideas work in the real world. It fully covers automation techniques like functional API automation, contract testing, and automated acceptance test-driven design that will save your team's time. You'll map the potential risks your API could face, and use those risks as a launching point for your testing activities. A good strategy has a mix of focuses, so you'll master a wide range of API testing techniques like exploratory testing and live testing of production code. A downloadable API sandbox lets you go hands-on and experiment in a safe environment. You'll soon be ready to implement a strategy that ensures API quality and makes testing a real asset to your team.

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Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It's filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don't need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal the relationships in your data. Tracking these interlinking connections reveals new insights and influences and lets you analyze each data point as part of a larger whole. This interconnected data is perfect for machine learning, as well as analyzing social networks, communities, and even product recommendations. about the book Graph Algorithms for Data Science teaches you how to construct graphs from both structured and unstructured data. You'll learn how the flexible Cypher query language can be used to easily manipulate graph structures, and extract amazing insights. The book explores common and useful graph algorithms like PageRank and community detection/clustering algorithms. Each new algorithm you learn is instantly put into action to complete a hands-on data project, including modeling a social network! Finally, you'll learn how to utilize graphs to upgrade your machine learning, including utilizing node embedding models and graph neural networks.

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"I am in awe of this book, it is a very good read and has tons of interesting lessons for any engineer." - Tim van Deurzen Your brain responds in a predictable way when it encounters new or difficult tasks. This unique book teaches you concrete techniques rooted in cognitive science that will improve the way you learn and think about code. In The Programmer's Brain: What every programmer needs to know about cognition you will learn: - Fast and effective ways to master new programming languages- Speed reading skills to quickly comprehend new code- Techniques to unravel the meaning of complex code- Ways to learn new syntax and keep it memorized- Writing code that is easy for others to read- Picking the right names for your variables- Making your codebase more understandable to newcomers- Onboarding new developers to your team Learn how to optimize your brain's natural cognitive processes to read code more easily, write code faster, and pick up new languages in much less time. This book will help you through the confusion you feel when faced with strange and complex code, and explain a codebase in ways that can make a new team member productive in days! about the technologyUnderstanding the cognitive functions that govern the way your brain thinks about coding will help you work smarter, not harder. You'll improve your productivity, reduce your need for constant rewrites, and say goodbye to spending late nights struggling with new languages. about the bookThe Programmer's Brain explores the way your brain works when it's thinking about code. In it, you'll master practical ways to apply these cognitive principles to your daily programming life. You'll improve your code comprehension by turning confusion into a learning tool, and pick up awesome techniques for reading code and quickly memorizing syntax. This practical guide includes tips for creating your own flashcards and study resources that can be applied to any new language you want to master. By the time you're done, you'll not only be better at teaching yourself—you'll be an expert at bringing new colleagues and junior programmers up to speed. about the readerFor programmers who have experience working in more than one language. about the authorDr. Felienne Hermans is an associate professor at Leiden University in the Netherlands. She has spent the last decade researching learning and teaching programming. Felienne is an award-winning educator, the creator of the Hedy programming language for novice programmers, and a host of Software Engineering Radio—one of the world's largest programming podcasts.

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"This is one of the best technical books I've ever read. The writing is so good, and it covers an incredible amount of knowledge. Hands down, this is the best reference material on using asyncio anywhere." - Kent R. Spillner Learn how to speed up slow Python code with concurrent programming and the cutting-edge asyncio library. Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applying a variety of concurrency techniques. You'll learn how the complex-but-powerful asyncio library can achieve concurrency with just a single thread and use asyncio's APIs to run multiple web requests and database queries simultaneously. The book covers using asyncio with the entire Python concurrency landscape, including multiprocessing and multithreading. about the technologyThe time demands of running code synchronously quickly overload standard Python and slow your programs to a crawl. Python's Asynchronous I/O library asyncio was built to solve these performance problems by making it easy to divide and schedule computational tasks so they can be run independently. asyncio concurrently handles multiple operations without a drop in throughput or responsiveness, making your apps lightning fast and easier to scale. about the bookPython Concurrency with asyncio teaches you to write concurrent Python code that will boost the speed of your apps and APIs. The book demystifies asynchio's unique single-threaded concurrency model, giving you a behind-the-scenes understanding of the library and its new async/await syntax. Hard-to-grok concurrency topics are broken down into simple flowcharts so you can easily see how your coroutines and tasks are running. You'll learn to apply asyncio to solve common performance problems, such as batch database jobs, slow web servers, and scaling microservices. All examples you'll build are designed to be usable in the real world, including a clever command line SQL client that can run multiple slow queries at the same time. By the time you're done, you'll even be able to combine asyncio with traditional multiprocessing and multithreading techniques for huge improvements to performance. what's insideUse coroutines and tasks alongside async/await syntax to run code concurrentlyBuild web APIs and make concurrency web requests with aiohttpRun thousands of SQL queries concurrentlyCreate a map-reduce job that can process gigabytes of data concurrentlyUse threading with asyncio to mix blocking code with asyncio code about the readerFor intermediate Python programmers. No previous experience of concurrency required. about the authorMatthew Fowler has over 15 years of software engineering experience in roles from architect to engineering director. He has worked on Python codebases in the machine learning space, as well as led development of a Python-based ecommerce site with tens of millions of users.

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Build stylish, slick, and speedy-to-load user interfaces in React without writing custom classes. React Hooks are a new category of functions that help you to manage state, lifecycle and side effects within functional components. React Hooks in Action teaches you to use pre-built hooks like useState, useReducer and useEffect, and to build your own hooks. Your code will be more reusable, require less boilerplate, and you’ll instantly be a more effective React developer. About the technology React Hooks promise to make React programmers even more productive. Hooks are a collection of pre-built and custom functions that give you a simpler API for working with key React functionalities. Hooks cleanly encapsulate side effects, make it easier to reuse components between projects, and result in less code overall. These new features represent a fundamental evolution in how the React library functions, so even experienced React developers will want to get up to speed with Hooks. About the book React Hooks in Action shows you how to use Hooks to make your codebase simpler and more reusable, and your applications faster and more responsive. You’ll build a resource booking example application chapter by chapter, learning how to develop components with local, shared, and application states. You’ll discover different approaches to data fetching, including using Concurrent Mode and Suspense to improve user experience, and explore third party hooks in the evolving React ecosystem. What's inside Create a Redux store and interact with it via Hooks Use code-splitting to improve the responsiveness of your apps Build functional components that can update their own state Manage component side effects Use the React Suspense API to improve the user experience of page and data loading About the reader For front-end web developers experienced with React. About the author John Larsen is the author of Get Programming with JavaScript. He was a mathematics and computing teacher for 25 years. He has an MA in mathematics and an MSc in information technology, and an ongoing interest in educational research. A web developer since 2000, he uses JavaScript end-to-end for server-side and client-side programming.

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