My heart's about to get wrangled in Chad's wicked little game. I left behind my countryside hometown of Spruce, Texas and my teenage tormentor Chad Landry to start over, pursue a career, and make a new name for myself. Fast forward ten years, and I'm back in Spruce for my high school reunion to confront my past and to face the boy who made my teen years hell. I'm no longer the vulnerable teenager I once was, and I'll guarantee you this: Chad won't have any power over me. But all the mental preparation in the world couldn't possibly prepare me for the sight of the hot, gorgeous, and hunky rancher that Chad has become, nor the secret he's been waiting ten long years to tell me. Chad's got things to say. And I've got a score to settle. Someone's poor little heart is about to get wrangled in a game it is sure to lose. NOTE: Though the story addresses past bullying, it contains no actual bullying or violence. "Wrangled" is a small-town, enemies-to-lovers romance loaded with humor, high romantic tension, and southern sass. *** This is a southern male/male romance set in the same fictional small town as "Football Sundae", "Born Again Sinner", and "Heteroflexible". Though this book takes place between the last chapter and the epilogue of "Heteroflexible", it can be read entirely on its own. Read all the books set in Spruce, Texas! Football Sundae Born Again Sinner Heteroflexible Wrangled

When Janie Fitzhugh returns to Muddy Gap, Wyoming, eight years after her divorce to work at a new resort, sparks fly between her and her ex-husband, while her new boss partners with a spoiled little daddy's girl to get his dream ranch.

Holy hot flashes! This blue-eyed dream in a pair of Wranglers is the best-looking cowboy I’ve ever seen. Thankfully, I’m immune to his charms. After nearly 25 years as a trophy wife, my cheating ex dumped me for a younger woman. Now I’m starting over in a new place with a car, a piddly amount if money in the bank, and an exotic cat. Oh, and a ten-foot pole to keep between me and any man, even the good-looking, boot-wearing Texan who swoops in to help me. Yes, he makes me remember what it’s like to feel something. But my heart is too brittle for romance. Every sassy comment I fling his way, he serves right back until I’m not sure if we’re arguing or flirting. With him, I feel more alive than I have in years, but starting over means standing on my own two feet, not being swept off them.

"Life out on the Chisholm Ranch was never dull." That's Dakota Lansing's impression, anyway. But she was always on the other side of the fence, keeping her distance from Zane Chisholm, the cowboy with a bad reputation. Now her family secrets are threatening to be unearthed and she's afraid where they'll lead, especially if it means setting foot on the Chisholm ranch .... With both their lives in jeopardy, Dakota is forced to admit Zane is her only hope of staying alive. Targeted by unknown assailants, Zane discovers his mysterious connection to Dakota is much bigger than either suspected. The feisty beauty is more than his match and is becoming harder to resist. With time running out, should he let her rope him in and go along for the ride?"--Publisher.

Despite having no desire to settle down and lead a conventional life, bar owner Jo Tallen finds herself unexpectedly attracted to family-oriented single father and rodeo star Trace Muldoon.

This guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques. This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and dates The difference between different data structures and how to create, add additional components to, and subset each data structure How to acquire and parse data from locations previously inaccessible How to develop functions and use loop control structures to reduce code redundancy How to use pipe operators to simplify code and make it more readable How to reshape the layout of data and manipulate, summarize, and join data sets

DATA WRANGLING Written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for solving everyday problems. Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This process typically includes manually converting and mapping data from one raw form into another format to allow for more convenient consumption and organization of the data. Data wrangling is increasingly ubiquitous at today’s top firms. Data cleaning focuses on removing inaccurate data from your data set whereas data wrangling focuses on transforming the data’s format, typically by converting “raw” data into another format more suitable for use. Data wrangling is a necessary component of any business. Data wrangling solutions are specifically designed and architected to handle diverse, complex data at any scale, including many applications, such as Datameer, Infogix, Paxata, Talend, Tamr, TMMData, and Trifacta. This book synthesizes the processes of data wrangling into a comprehensive overview, with a strong focus on recent and rapidly evolving agile analytic processes in data-driven enterprises, for businesses and other enterprises to use to find solutions for their everyday problems and practical applications. Whether for the veteran engineer, scientist, or other industry professional, this book is a must have for any library.