Like many young children, Jacob O'Reilly wants a pet. He'd love a dog. A cat would be great. Ooh, what about gerbils? Or an iguana? He's desperate for an animal to look after, but mum and dad don't fancy the idea. Then they suggest that he start a pet-sitting business, and all hell breaks loose... 'The jokes work time and time again, and it'll be a firm favourite on any bookshelf.' - The Bookbag

Billy’s not like the other kids. He’s a bit moody, a bit cranky, a bit . . . grumpy. In hopes of cheering him up, his mom takes him and his sister to the animal rescue one Saturday morning. All the animals are cute and playful, but they’re a little too happy for Billy’s taste. When Billy wanders into another section of the store, however, he stumbles across a different group of animals awaiting adoption. These pets are grouchy and scruffy. In fact, they seem downright grumpy—just like Billy! He catches the eye of a particularly grumpy pup—could this be the friend Billy has been looking for? Grumpy Pets shows that there’s a perfect match for everyone, if you stay true to yourself.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Check out this bestselling, rollicking, and humorous twist on the classic "first pet" story about a young bear and her favorite pet boy! When Lucy, a young bear, discovers a boy in the woods, she's absolutely delighted. She brings him home and begs her mom to let her keep him, even though her mom warns, "Children make terrible pets." But mom relents, and Lucy gets to name her new pet Squeaker. Through a series of hilarious and surprising scenes, readers can join Lucy and Squeaker on their day of fun and decide for themselves whether or not children really do make terrible pets.

A little girl tries to select a pet that will not eat her, be a copycat, make too much noise, or leave dirty footprints around the house, in this charming book by creator of the Charlie and Lola series. Full color.

A web application involves many specialists, but it takes people in web ops to ensure that everything works together throughout an application's lifetime. It's the expertise you need when your start-up gets an unexpected spike in web traffic, or when a new feature causes your mature application to fail. In this collection of essays and interviews, web veterans such as Theo Schlossnagle, Baron Schwartz, and Alistair Croll offer insights into this evolving field. You'll learn stories from the trenches--from builders of some of the biggest sites on the Web--on what's necessary to help a site thrive. Learn the skills needed in web operations, and why they're gained through experience rather than schooling Understand why it's important to gather metrics from both your application and infrastructure Consider common approaches to database architectures and the pitfalls that come with increasing scale Learn how to handle the human side of outages and degradations Find out how one company avoided disaster after a huge traffic deluge Discover what went wrong after a problem occurs, and how to prevent it from happening again Contributors include: John Allspaw Heather Champ Michael Christian Richard Cook Alistair Croll Patrick Debois Eric Florenzano Paul Hammond Justin Huff Adam Jacob Jacob Loomis Matt Massie Brian Moon Anoop Nagwani Sean Power Eric Ries Theo Schlossnagle Baron Schwartz Andrew Shafer

This fascinating book is the first volume in a projected cultural history of the United States, from the earliest English settlements to our own time. It is a history of American folkways as they have changed through time, and it argues a thesis about the importance for the United States of having been British in its cultural origins. While most people in the United States today have no British ancestors, they have assimilated regional cultures which were created by British colonists, even while preserving ethnic identities at the same time. In this sense, nearly all Americans are "Albion's Seed," no matter what their ethnicity may be. The concluding section of this remarkable book explores the ways that regional cultures have continued to dominate national politics from 1789 to 1988, and still help to shape attitudes toward education, government, gender, and violence, on which differences between American regions are greater than between European nations.

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Which came first, sliced bread or the toaster? When did most people begin wearing deodorant? Who invented the electric blanket? Catherine O’Reilly tackles questions such as these with a keen curiosity and well-honed writing skills. Her ability to turn any normal home into a jungle of history, invention, and technological wonder is a treat. For fans of Schott’s Original Miscellany and The Book of Useless Information, O’Reilly’s Did Thomas Crapper Really Invent the Toilet? is another smart and quirky look at miscellaneous items. Learn the real histories of the blender, the fire extinguisher, the cheese grater, the clock radio, deodorant, Post-its, fabric softener, and, of course, the toilet. These are the unknown stories of everyday items that we take for granted.

Master the art of providing effective IT services to your customers by leveraging Zendesk About This Book Deep dive into the functionalities of Zendesk and improve your organization's customer services Learn how to expand the capabilities of Zendesk by integrating and extending it with third-party tools A master level guide that manages tickets, channels, and workflows along with advanced security features Who This Book Is For This book is for proficient Zendesk administrators who want to unlock the full potential of their Zendesk environment by gaining a deeper understanding of Zendesk's advanced customization options. What You Will Learn Customize ticket channels such as Email, Twitter, Facebook, and Web-Widget Add business rules to create a more effective and automated Zendesk environment Use Zendesk apps to add more functionality to the Zendesk setup Extend Zendesk with JIRA and Salesforce Create custom metrics within GoodData in order to set up customized and automated reports Learn how to secure and troubleshoot Zendesk In Detail Zendesk is a cloud-based customer service solution that is widely used because it is easy, efficienct, flexible, and low cost. It is highly scalable and is great for organizations of all sizes. If you're a Zendesk administrator and are looking to explore advanced-level concepts, then this book is for you. It covers the core functionalities such as managing users, groups, and the organization, and creating and adding custom fields. You will learn how to add customized ticket channels to your account. Then, you will focus on customizing business rules and extending Zendesk with JIRA and Salesforce. Towards the end, the book emphasizes security and troubleshooting aspects as well as providing tips and tricks to create a more efficient support environment. By the end of this book, you will be able to turn a basic Zendesk setup into a highly customized working environment. Style and approach This advanced guide provides easy to understand examples to ensure you gain expertise with Zendesk.