Illuminating a hidden and fascinating chapter in the history of globalization, Paul Gootenberg chronicles the rise of one of the most spectacular and now illegal Latin American exports: cocaine.
Gootenberg traces cocaine's history from its origins as a medical commodity in the nineteenth century to its repression during the early twentieth century and its dramatic reemergence as an illicit good after World War II. Connecting the story of the drug's transformations is a host of people, products, and processes: Sigmund Freud, Coca-Cola, and Pablo Escobar all make appearances, exemplifying the global influences that have shaped the history of cocaine. But Gootenberg decenters the familiar story to uncover the roles played by hitherto obscure but vital Andean actors as well--for example, the Peruvian pharmacist who developed the techniques for refining cocaine on an industrial scale and the creators of the original drug-smuggling networks that decades later would be taken over by Colombian traffickers.
Andean Cocaine proves indispensable to understanding one of the most vexing social dilemmas of the late twentieth-century Americas: the American cocaine epidemic of the 1980s and, in its wake, the seemingly endless U.S. drug war in the Andes.
An Introduction to the Analysis of Algorithms (2nd Edition)
Despite growing interest, basic information on methods and models for mathematically analyzing algorithms has rarely been directly accessible to practitioners, researchers, or students. An Introduction to the Analysis of Algorithms, Second Edition, organizes and presents that knowledge, fully...
Learn Python Visually
Learn Python Visually is a modern breakthrough that makes learning programming more intuitive, easier, and fun. Using the most basic approach to learning that we all inherently know from childhood, "Learn Python VISUALLY" solves the comprehension problem that so many other books cannot seem to bridge. Visual learners retain...
Mastering Python High Performance
Measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
About This Book
Master the do's and don'ts of Python performance programming
Learn how to use exiting new tools that will help you improve your scripts
Python 3 Text Processing with NLTK 3 Cookbook
Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0
About This Book
Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
Learn how to do custom sentiment analysis and named entity...
Genetic Fuzzy Systems
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to...
Pro Python Best Practices: Debugging, Testing and Maintenance
Learn software engineering and coding best practices to write Python code right and error free. In this book you’ll see how to properly debug, organize, test, and maintain your code, all of which leads to better, more efficient coding.
Software engineering is difficult. Programs of any substantial length are...