Niall O'Higgins – författare

The recent recession has led to an ongoing crisis in the youth labour market in Europe. This timely book deals with a number of areas related to the context, choices and experiences of young people, the consequences of which resonate throughout their lives. The focus of the contributions to this volume is on issues which, whilst undoubtedly important, have thus far received less attention than they arguably deserve. The first part of the book is concerned with issues related to education and training, covering matters such as the role of monopsony in training, the consequences of over-education, and the quality of educational institutions from primary to tertiary. The second part is primarily concerned with the long-term consequences of short-term choices and experiences including contributions on health-related choices, health consequences later in life, factors affecting the home-leaving decision, as well as an analysis of the increasing intergenerational transmission of inequality; a trend which accelerated during the recession. The last part of the book deals with issues related to youth unemployment and NEET – the direct consequence of the recession.This book contains a number of innovative analyses reporting significant findings that contrast with standard models. Some of the more interesting results directly contradict conventional wisdom on a number of topics from the importance of monopsony in training markets to the importance of transitory income changes on consumption of addictive goods. This book is suitable for those who study labor economics, political economy as well as employment and unemployment.

The recent recession has led to an ongoing crisis in the youth labour market in Europe. This timely book deals with a number of areas related to the context, choices and experiences of young people, the consequences of which resonate throughout their lives. The focus of the contributions to this volume is on issues which, whilst undoubtedly important, have thus far received less attention than they arguably deserve.The first part of the book is concerned with issues related to education and training, covering matters such as the role of monopsony in training, the consequences of over-education, and the quality of educational institutions from primary to tertiary. The second part is primarily concerned with the long-term consequences of short-term choices and experiences including contributions on health-related choices, health consequences later in life, factors affecting the home-leaving decision, as well as an analysis of the increasing intergenerational transmission of inequality; a trend which accelerated during the recession. The last part of the book deals with issues related to youth unemployment and NEET – the direct consequence of the recession.This book contains a number of innovative analyses reporting significant findings that contrast with standard models. Some of the more interesting results directly contradict conventional wisdom on a number of topics from the importance of monopsony in training markets to the importance of transitory income changes on consumption of addictive goods. This book is suitable for those who study labor economics, political economy as well as employment and unemployment.

"MongoDB and Python" is a cookbook-style text to help Python programmers work with MongoDB. It is full of useful, practical recipes for solving real-world problems ranging from how to do fast geo queries for location-based apps to efficiently indexing your user documents for social-graph lookups to how best to integrate MongoDB with the Pyramid Web framework.

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.

This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks.

The recipes will help you:

Read, write, count, and sort documents in a MongoDB collectionLearn how to use the rich MongoDB query languageMaintain data integrity in replicated/distributed MongoDB environmentsUse embedding to efficiently model your data without joinsCode defensively to avoid keyerrors and other bugsApply atomic operations to update game scores, billing systems, and more with the fast accounting patternUse MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.

This guide explains the basics of the document-oriented database and shows you how to set up a Python environment with it. Learn how to read and write to MongoDB, apply idiomatic MongoDB and Python patterns, and use the database with several popular Python web frameworks. You’ll discover how to model your data, write effective queries, and avoid concurrency problems such as race conditions and deadlocks.

The recipes will help you:

Read, write, count, and sort documents in a MongoDB collectionLearn how to use the rich MongoDB query languageMaintain data integrity in replicated/distributed MongoDB environmentsUse embedding to efficiently model your data without joinsCode defensively to avoid keyerrors and other bugsApply atomic operations to update game scores, billing systems, and more with the fast accounting patternUse MongoDB with the Pylons 1.x, Django, and Pyramid web frameworks