This book deals with the dynamics of local-level politics in China and India. China introduced new policies to restructure local politics in 1978. In place of communes, civil society organizations and cooperatives were introduced in villages. More changes came about with the introduction of the Organic Law of the Villagers' Committees of the People's Republic of China in 1998. The new local power structure includes state-sponsored institutions like Villagers Committees and the traditional civil society organizations (CSOs) and non-government organizations (NGOs). As in China, local politics in India undergoes considerable changes during the last few decades. Panchayati Raj Institutions (PRIs) were reformed in 1992 with a constitutional amendment act. CSOs and NGOs were allowed to function. Against this background, the present book is undertaken with the objectives first, to present two different models of local politics and second, to compare the two, finally to focus on the two different models of development. This book will interest scholars of rural governance, rural transformation, and the role of the grassroots CSOs and NGOs in shaping development program and growth in the two large countries in Asia.

In recent years exclusionary policies of the Indian state have raised questions concerning social harmony and economic progress. During the last few decades the emergence of identity politics has given new lease of life to exclusionary practices in the country. Castes, communities and ethnic groups have re-emerged in almost every sphere of social life. This book analyses different aspects of social exclusion in contemporary India. Divided into three sections - 1. New Forms of Inclusion and Exclusion in Contemporary India; 2. Religious Identities and Dalits; 3. Ethnicity and Politics of Inclusion and Exclusion in the North-eastern Frontier - the book shows that a shift has taken place in the discourse on inclusion and exclusion. Chapters by experts in their fields explore issues of inclusion and exclusion that merit special attention such as dalit identity, ethnicity, territoriality and minorities. Authors raise questions about developmental programmes of the state aimed at making India more inclusive and discuss development projects initiated to alleviate socio-economic conditions of the urban poor in the cities. As far as North-east region is concerned, the authors argue that there is a tendency to highlight the homogenizing nature of the Indian culture by stressing one history, one language, one social ethos. Diversity is hardly accepted as a social reality, which has adversely affected the inclusive nature of the state. Against this development the final part of the book looks at questions regarding ethnic minorities in the northeast. Offering new insights into the debate surrounding social exclusion in contemporary India, this book will be of interest to academics studying anthropology, sociology, politics and South Asian Studies.

In recent years exclusionary policies of the Indian state have raised questions concerning social harmony and economic progress. During the last few decades the emergence of identity politics has given new lease of life to exclusionary practices in the country. Castes, communities and ethnic groups have re-emerged in almost every sphere of social life. This book analyses different aspects of social exclusion in contemporary India. Divided into three sections - 1. New Forms of Inclusion and Exclusion in Contemporary India; 2. Religious Identities and Dalits; 3. Ethnicity and Politics of Inclusion and Exclusion in the North-eastern Frontier - the book shows that a shift has taken place in the discourse on inclusion and exclusion. Chapters by experts in their fields explore issues of inclusion and exclusion that merit special attention such as dalit identity, ethnicity, territoriality and minorities. Authors raise questions about developmental programmes of the state aimed at making India more inclusive and discuss development projects initiated to alleviate socio-economic conditions of the urban poor in the cities. As far as North-east region is concerned, the authors argue that there is a tendency to highlight the homogenizing nature of the Indian culture by stressing one history, one language, one social ethos. Diversity is hardly accepted as a social reality, which has adversely affected the inclusive nature of the state. Against this development the final part of the book looks at questions regarding ethnic minorities in the northeast. Offering new insights into the debate surrounding social exclusion in contemporary India, this book will be of interest to academics studying anthropology, sociology, politics and South Asian Studies.

This book deals with the dynamics of local-level politics in China and India. China introduced new policies to restructure local politics in 1978. In place of communes, civil society organizations and cooperatives were introduced in villages. More changes came about with the introduction of the Organic Law of the Villagers' Committees of the People's Republic of China in 1998. The new local power structure includes state-sponsored institutions like Villagers Committees and the traditional civil society organizations (CSOs) and non-government organizations (NGOs). As in China, local politics in India undergoes considerable changes during the last few decades. Panchayati Raj Institutions (PRIs) were reformed in 1992 with a constitutional amendment act. CSOs and NGOs were allowed to function. Against this background, the present book is undertaken with the objectives first, to present two different models of local politics and second, to compare the two, finally to focus on the two different models of development. This book will interest scholars of rural governance, rural transformation, and the role of the grassroots CSOs and NGOs in shaping development program and growth in the two large countries in Asia.

Over 85 recipes to help you complete real-world data science projects in R and Python About This Book * Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data * Get beyond the theory and implement real-world projects in data science using R and Python * Easy-to-follow recipes will help you understand and implement the numerical computing concepts Who This Book Is For If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python. What You Will Learn * Learn and understand the installation procedure and environment required for R and Python on various platforms * Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python * Build a predictive model and an exploratory model * Analyze the results of your model and create reports on the acquired data * Build various tree-based methods and Build random forest In Detail As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don't. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use. Starting with the basics, this book covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format. By sequentially working through the steps in each chapter, you will quickly familiarize yourself with the process and learn how to apply it to a variety of situations with examples using the two most popular programming languages for data analysis-R and Python. Style and approach This step-by-step guide to data science is full of hands-on examples of real-world data science tasks. Each recipe focuses on a particular task involved in the data science pipeline, ranging from readying the dataset to analytics and visualization