埃米莉•格雷维特（Emily Gravett）是一位有着惊人天分的英国儿童书作家和插画家，曾两次斩获凯特•格林纳威大奖。在创作儿童书方面，她拥有首屈一指的技巧和才智，擅长打破图画书的传统界线，在每一页都埋下无数细节，营造出无穷的乐趣。埃米莉在儿童图画书初次亮相的处女作《大灰狼》一经问世，便斩获多项大奖，出尽了风头。此后，她又创作了多本新颖独特的经典之作，如《獴哥的信》《小老鼠的恐惧的大书》《兔子的12个大麻烦》《再来一次》等等。她的每一本书都独一无二，不同于以往——每一个角色都绘制精美、特征鲜明，惹人喜爱，直触内心，诱人发笑。 埃米莉和她的家人住在英国的布莱顿。当她不在工作室画画时，她可能正和狗狗在路上散步，或是给番茄浇水，或是正开着她家改装的50年代的老巴士，又或是正在滚轴跑道上飞驰。

Pete the badger likes everything to be neat and tidy at all times, but what starts as the collecting of one fallen leaf escalates quickly and ends with the complete destruction of the forest. Will Pete realize the error of his ways and reverse his tidying habit? Shortlisted for the Yoto Kate Greenaway Medal 2017.

Pete the badger likes everything to be neat and tidy at all times, but what starts as the collecting of one fallen leaf escalates and ends with the complete destruction of the forest! Will Pete realise the error of his ways and set things right? Lush foliage and delightful characters abound in this cautionary tale of overenthusiastic neatness that delivers its message of enviro...(展开全部)

Messy code is a nuisance. "Tidying" code, to make it more readable, requires breaking it up into manageable sections. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might apply tidyings to improve your code while keeping the overall structure of the system in mind. Instead of trying to mast...(展开全部)

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 possibl...(展开全部)

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 possibl...(展开全部)