Now an Academy Award-winning Netflix film by Jane Campion, starring Benedict Cumberbatch and Kirsten Dunst: Thomas Savage's acclaimed Western is "a pitch-perfect evocation of time and place" (Boston Globe) for fans of East of Eden and Brokeback Mountain. Set in the wide-open spaces of the American West, The Power of the Dog is a stunning story of domestic tyranny, brutal masculinity, and thrilling defiance from one of the most powerful and distinctive voices in American literature. The novel tells the story of two brothers — one magnetic but cruel, the other gentle and quiet — and of the mother and son whose arrival on the brothers’ ranch shatters an already tenuous peace. From the novel’s startling first paragraph to its very last word, Thomas Savage’s voice — and the intense passion of his characters — holds readers in thrall. "Gripping and powerful...A work of literary art." —Annie Proulx, from her afterword

The steadfast and sturdy Continental Op has been summoned to the town of Personville—known as Poisonville—a dusty mining community splintered by competing factions of gangsters and petty criminals. The Op has been hired by Donald Willsson, publisher of the local newspaper, who gave little indication about the reason for the visit. No sooner does the Op arrive, than the body count begins to climb . . . starting with his client. With this last honest citizen of Poisonville murdered, the Op decides to stay on and force a reckoning—even if that means taking on an entire town. Red Harvest is more than a superb crime novel: it is a classic exploration of corruption and violence in the American grain.

Tell kids not to worry. sorting my life out. be in touch to get some things. Instead of being a simple sms message, this text turned out to be crucial and chilling evidence in convicting the deceptive killer of a mother of two. Sent from her phone, after her death, tell tale signs announce themselves to a forensic linguist. Rarely is a crime committed without there being some evidence in the form of language. Wordcrime features a series of chapters where gripping cases are described - involving murder, sexual assault, hate mail, suspicious death, code deciphering, arson and even genocide. Olsson describes the evidence he gave in each one. In approachable and clear prose, he details how forensic linguistics helps the law beat the criminals. This is fascinating reading for anyone interested in true crime, in modern, cutting-edge criminology and also where the study of language meets the law.

Years ago, Lucas Davenport almost died at the hands of Clara Rinker, a pleasant, soft-spoken, low-key Southerner, and the best hitwoman in the business. Now retired and living in Mexico, she nearly dies herself when a sniper kills her boyfriend, the son of a local druglord, and while the boy's father vows vengeance, Rinker knows something he doesn't: The boy wasn't the target-she was-and now she is going to have to disappear to find the killer herself. The FBI and DEA draft Davenport to help track her down, and with his fiancie deep in wedding preparations, he's really just as happy to go-but he has no idea what he's getting into. For Rinker is as unpredictable as ever, and between her, her old bosses in the St. Louis mob, the Mexican druglord, and the combined, sometimes warring, forces of U.S. law enforcement, this is one case that will get more dangerous as it goes along. And when the crossfire comes, anyone standing in the middle won't stand a chance.... Filled with the rich characterization and exceptional drama that are his hallmarks, Mortal Prey proves that John Sandford just keeps getting better.

DigiCat Publishing presents to you this special edition of "The Long Goodbye" by Raymond Chandler. DigiCat Publishing considers every written word to be a legacy of humankind. Every DigiCat book has been carefully reproduced for republishing in a new modern format. The books are available in print, as well as ebooks. DigiCat hopes you will treat this work with the acknowledgment and passion it deserves as a classic of world literature.

The second of three volumes, which were originally published in one volume as: Legends.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results