This book analyses modernity and tradition in China today and how they combine in striking ways in the Chinese school. Paul Willis – the leading ethnographer and author of Learning to Labour – shows how China has undergone an internal migration not only of masses of workers but also of a mental and ideological kind to a new cultural landscape of meaning characterized by the worship of the glorified city, devotion to consumerism and fixation with the smartphone and the internet.

THE THOROUGHLY REVISED AND UPDATED FOURTH EDITION OF THE COMPANION WORKBOOK TO FIXED INCOME ANALYSIS

Living, working and studying in intercultural and international contexts is ever more relevant to a broad range of individuals including educators, social scientists and professionals. As education and work become increasingly international, every student and professional at some point is likely to feel the need to explore and discuss concepts of culture and identity in order to be prepared for intercultural encounters in the globalised workplace.

Avoid data blunders and create truly useful visualizations

Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more.

Learn all about technical analysis and chart a course for a stable financial future

Leverage the full potential of SAS to get unique, actionable insights from your data

Learn the core concepts of geospatial data analysis for building actionable and insightful GIS applicationsKey Features

If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems.

Deconstructing the November 2018 LSAT