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Making Sense of the Social World: Methods of Investigation
Congratulations to Daniel F. Chambliss, winner of the ASA Distinguished Contribution to Teaching Prize for 2018.
The new Sixth Edition of Making Sense of the Social World continues to be an unusually accessible and student-friendly introduction to the variety of social research... | | Chaos: An Introduction for Applied Mathematicians
This is a textbook on chaos and nonlinear dynamics, written by applied mathematicians for applied mathematicians. It aims to tread a middle ground between the mathematician's rigour and the physicist’s pragmatism.
While the subject matter is now classical and can be found in many other books, what distinguishes this book... | | |
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Eric Hobsbawm: A Life in History
Eric Hobsbawm's works have had a nearly incalculable effect across generations of readers and students, influencing more than the practice of history but also the perception of it. Born in Alexandria, Egypt, of second-generation British parents, Hobsbawm was orphaned at age fourteen in 1931. Living with an uncle in Berlin, he ... | | Linear Algebra and Geometry
This book is the result of a series of lectures on linear algebra and the geometry of multidimensional spaces given in the 1950s through 1970s by Igor R. Shafarevich at the Faculty of Mechanics and Mathematics of Moscow State University.
Notes for some of these lectures were preserved in the faculty library, and these were used ... | | Fuzzy Group Theory (Studies in Fuzziness and Soft Computing)From the reviews of the first edition:
"The purpose of this book is to present an up to date account of fuzzy subgroups of a group, it is the first book dedicated entirely to the rapidly growing field of fuzzy group theory. … The book represents a major contribution to the literature on fuzzy groups. It is... |
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| | Parallel Programming: for Multicore and Cluster Systems
Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be... | | Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas,... |
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