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Performance Is About People, Not Metrics

2017/11/19November 16, 2017

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Tammy Everts walks you through a brief history of UX and web performance research, highlighting key studies that connect the dots between performance and user experience and sharing some educated guesses about new metrics that are just around the corner. We still have so much to learn. Some day we’ll laugh at how much we assumed and how little we actually knew. But if we stay on course, we’ll get there.




Perceived Performance: The Only Kind that Really Matters

2017/11/19November 16, 2017

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Perceived performance, in the end, is the only performance that truly matters. If what we make doesn't feel fast, then no amount of optimization counts. Eli Fitch breaks down the psychology of how users perceive time and how we can combine that knowledge with clever use of animation, unconventional event listeners, and predictive design to make our experiences seem faster than they actually are.




scikit-learn Cookbook - Second Edition

2017/11/19November 16, 2017

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Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. About This Book Handle a variety of machine learning tasks effortlessly by leveraging the power of scikit-learn Perform supervised and unsupervised learning with ease, and evaluate the performance of your model Practical, easy to understand recipes aimed at helping you choose the right machine learning algorithm Who This Book Is For Data Analysts already familiar with Python but not so much with scikit-learn, who want quick solutions to the common machine learning problems will find this book to be very useful. If you are a Python programmer who wants to take a dive into the world of machine learning in a practical manner, this book will help you too. What You Will Learn Build predictive models in minutes by using scikit-learn Understand the differences and relationships between Classification and Regression, two types of Supervised Learning. Use distance metrics to predict in Clustering, a type of Unsupervised Learning Find points with similar characteristics with Nearest Neighbors. Use automation and cross-validation to find a best model and focus on it for a data product Choose among the best algorithm of many or use them together in an ensemble. Create your own estimator with the simple syntax of sklearn Explore the feed-forward neural networks available in scikit-learn In Detail Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. This book includes walk throughs and solutions to the common as well as the not-so-common problems in machine learning, and how scikit-learn can be leveraged to perform various machine learning tasks effectively. The second edition begins with taking you through recipes on evaluating the statistical properties of data and generates synthetic data for machine learning modelling. As you progress through the chapters, you will comes across recipes that will teach you to implement techniques like data pre-processing, linear regression, logistic regression, K-NN, Naïve Bayes, classification, decision trees, Ensembles and much more. Furthermore, you’ll learn to optimize your models with multi-class classification, cross validation, model evaluation and dive deeper in to implementing deep learning with scikit-learn. Along with covering the enhanced features on model section, API and new features like classifiers, regressors and estimators the book also contains recipes on evaluating and fine-tuning the performance of your model. By the end of this book, you will have explored plethora of features offered by scikit-learn for Python to solve any machine learning problem you come across. Style and Approach This book consists of practical recipes on scikit-learn that target novices as well as intermediate users. It goes deep into the technical issues, covers additional protocols, and many more real-live examples so that you are able to implement it in your daily life scenarios. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.




Hello Scratch!: Learn to program by making arcade games

2017/11/19November 30, 2017

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Summary Hello Scratch! is a how-to book that helps parents and kids work together to learn programming skills by creating new versions of old retro-style arcade games with Scratch. About the Technology Can 8-year-olds write computer programs? You bet they can! In Scratch, young coders use colorful blocks and a rich graphical environment to create programs. They can easily explore ideas like input and output, looping, branching, and conditionals. Scratch is a kid-friendly language created by MIT that is a safe and fun way to begin thinking like a programmer, without the complexity of a traditional programming language. About the Book Hello Scratch! guides young readers through five exciting games to help them take their first steps in programming. They�ll experiment with key ideas about how a computer program works and enjoy the satisfaction of immediate success. These carefully designed projects give readers plenty of room to explore by imagining, tinkering, and personalizing as they learn. What�s Inside Learn by experimentation Learn to think like a programmer Build five exciting, retro-style games Visualize the organization of a program About the Reader Written for kids 8�14. Perfect for independent learning or working with a parent or teacher. About the Authors Kids know how kids learn. Sadie and Gabriel Ford, 12-year-old twins and a formidable art and coding team, wrote this book with editing help from their mother, author Melissa Ford!




CD for DBs: Database Deployment Strategies

2017/11/19November 16, 2017

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As organizations invest in DevOps to release more frequently, there’s a need to treat the database tier as an integral part of your automated delivery pipeline—to build, test, and deploy database changes just like any other part of your application. Avan Mathur shares strategies for database deployments and rollbacks as well as some patterns and best practices for reliably deploying databases as part of your CD pipeline, safely rolling back database code, ensuring data integrity, handling advanced scenarios and backend processes (such as scheduled tasks, ETL routines, replication architecture, and linked databases across distributed infrastructure), and handling legacy database and more modern data management solutions.




Writing Great Specifications: Using Specification by Example and Gherkin

2017/11/19October 30, 2017

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Summary Writing Great Specifications is an example-rich tutorial that teaches you how to write good Gherkin specification documents that take advantage of the benefits of specification by example. About the Technology The clearest way to communicate a software specification is to provide examples of how it should work. Turning these story-based descriptions into a well-organized dev plan is another matter. Gherkin is a human-friendly, jargon-free language for documenting a suite of examples as an executable specification. It fosters efficient collaboration between business and dev teams, and it�s an excellent foundation for the specification by example (SBE) process. About the Book Writing Great Specifications teaches you how to capture executable software designs in Gherkin following the SBE method. Written for both developers and non-technical team members, this practical book starts with collecting individual feature stories and organizing them into a full, testable spec. You�ll learn to choose the best scenarios, write them in a way that anyone can understand, and ensure they can be easily updated by anyone.management. What�s Inside Reading and writing Gherkin Designing story-based test cases Team collaboration Managing a suite of Gherkin documents About the Reader Primarily written for developers and architects, this book is accessible to any member of a software design team. About the Author Kamil Nicieja is a seasoned engineer, architect, and project manager with deep expertise in Gherkin and SBE.




Database Reliability Engineering: What, Why, and How?

2017/11/19November 16, 2017

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SRE is becoming quite the ubiquitous term, but what about DBRE? Laine Campbell and Charity Majors dive into DBRE, exploring the paths to this craft and how to culturally evolve and support it. Laine and Charity focus on organizational scale, self-service, and force multipliers in recoverability, observability, availability, security, release management, and infrastructure.




tl;dr: Web Performance

2017/11/19November 16, 2017

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Keeping up to date with the latest web performance trends, features, and techniques can be time consuming and hard. Gareth Hughes and Michael Gooding guide you through the top five performance techniques for today's modern browsers and provide the tools and knowledge you need to implement them today.




Learning Microsoft Azure Storage

2017/11/18November 15, 2017

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A step-by-step guide to get you up and running with Azure Storage services and helps you build solutions that leverage effective design patterns About This Book Discover best practices for designing and implementing Azure Storage for Azure VMs, and highly available apps Effectively plan, design, and implement SQL databases with Azure Protect your data with Azure Backup and Azure Site Recovery Who This Book Is For This book is targeted at Developers, IT Professionals, and even Database Admins who have experience of working on Microsoft Azure and want to make the most of Azure Storage services. Some knowledge of SQL Server will be beneficial. What You Will Learn Understand Azure Storage types and determine the appropriate one for your needs Design Azure Storage for Azure VMs according to best practices Design and implement your SQL Database on Azure according to best practices Learn how to work with Azure Backup Learn how to work with Azure Site Recovery Extend Azure Storage to StorSimple Monitor storage metrics and logs and customize the Azure monitoring dashboard Monitor and troubleshoot Azure Storage In Detail Microsoft Azure Storage is the bedrock of Microsoft's core storage solution offering in Azure. No matter what solution you are building for the cloud, you'll find a compelling use for Azure Storage. This book will help you get up-to-speed quickly on Microsoft Azure Storage by teaching you how to use the different storage services. You will be able to leverage secure design patterns based on real-world scenarios and develop a strong storage foundation for Azure virtual machines. You will start this book with an introduction to Microsoft Azure storage and how it can be used to build large-scale, real-world applications using Azure storage services such as blob, table, queue, and file. This book will also teach you about the different types of Azure Storage. You will then find out the best practices for designing your Azure VM storage, whether it is Windows based or Linux based and how to migrate your storage in different scenarios. You will learn also how to plan and implement your SQL database solution on Azure, and how to build your SQL database in different service models (IaaS/PaaS). Moreover, you will also learn best practices for dealing with Azure Backup, the role of Azure Site Recovery, and the solutions they offer in different scenarios. Finally, you will use StorSimple to unlock the maximum value from all of your data, and some tools that will help you manage your storage on-and off-premise (Azure), such as AzCopy and Storage Explorer. Monitoring your storage in no laughing matter, so you will learn to monitor, diagnose and troubleshoot it. Style and approach This book will provide an in-depth insight into properly designing your environment and saving money on your running workloads. Using cutting-edge examples, you will be able to efficiently monitor, diagnose, and troubleshoot Azure Storage. Downloading the example code for this book. You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/support and register to have the code file.




Leveraging Multi-CDN at Riot Games

2017/11/19November 16, 2017

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Multi-CDN environments are on the rise. Brands like eBay, Twitter, and ESPN have adopted this strategy, and for good reason. Multi-CDNs enable high-traffic sites and applications to improve performance and increase service reliability with relatively low operational overhead. Kristopher Beevers and Ray Panahon address key challenges in understanding when a multi-CDN environment makes sense, how to implement it, and what techniques are available before diving into Riot Games’s architecture to explore how a multi-CDN strategy helped optimize traffic delivery and user experience for its customers and discussing some of the challenges faced along the way. Kristopher and Ray also review the infrastructure considerations and complementary technologies needed to meet multi-CDN objectives.