Pharmocracy: Value, Politics, and Knowledge in Global Biomedicine, Kaushik Sunder Rajan
Автор: Sunder Rajan Kaushik Название: Pharmocracy: Value, Politics, and Knowledge in Global Biomedicine ISBN: 0822363275 ISBN-13(EAN): 9780822363279 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4383.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Continuing his pioneering theoretical explorations into the relationships among biosciences, the market, and political economy, Kaushik Sunder Rajan introduces the concept of pharmocracy to explain the structure and operation of the global hegemony of the multinational pharmaceutical industry. He reveals pharmocracy's logic in two case studies from contemporary India: the controversial introduction of an HPV vaccine in 2010, and the Indian Patent Office's denial of a patent for an anticancer drug in 2006 and ensuing legal battles. In each instance health was appropriated by capital and transformed from an embodied state of well-being into an abstract category made subject to capital's interests. These cases demonstrate the precarious situation in which pharmocracy places democracy, as India's accommodation of global pharmaceutical regulatory frameworks pits the interests of its citizens against those of international capital. Sunder Rajan's insights into this dynamic make clear the high stakes of pharmocracy's intersection with health, politics, and democracy.
Автор: Mishra Raju Kumar, Raman Sundar Rajan Название: Pyspark SQL Recipes: With Hiveql, Dataframe and Graphframes ISBN: 148424334X ISBN-13(EAN): 9781484243343 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code.
PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You’ll also discover how to solve problems in graph analysis using graphframes.
On completing this book, you’ll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases.
What You Will Learn
Understand PySpark SQL and its advanced featuresUse SQL and HiveQL with PySpark SQLWork with structured streamingOptimize PySpark SQL Master graphframes and graph processing
Who This Book Is For
Data scientists, Python programmers, and SQL programmers.