After being forced to leave her ship in 1803, Jacky Faber finds herself attending school in Boston, where, instead of learning to be a lady, she roams the city in search of adventure, and learns to ride a horse.
The British crown has placed a price on Jacky's head, so she returns to the Lawson Peabody School for Young Girls in Boston to lie low. But the safe haven doesn't last.
Jacky Faber is framed as passing confidential U.S. information to the British. Forced to flee Boston, she goes undercover as a governess for a prominent Puritan family. When outed by a nosy postmaster, she deserts the respectability of her position, dons a leotard and slippers, and poses as a Russian tightrope walker in a traveling circus. But the law soon catches up with her, and prospects do not look good. Through her many adventures, Jacky has always found the ingenuity to escape dire situations, but this time it looks like Puss in Boots has run out of lives . . . and her happily-ever-after will be cut short at the foot of the gallows.
Still yearning to be reunited with her beloved Jaimy, Jacky Faber continues to collect intelligence for the Crown as she leads guerrilla attacks against Napoleon's forces, poses for the artist Francisco Goya, is kidnapped by the Spanish Inquisition, and travels with a gypsy caravan.
The intrepid Jacky Farber, having once again eluded British authorities, heads west, hoping that no one will recognize her in the wilds of America. Soon she's finding adventure on the mighty Mississippi as she makes her way to New Orleans.
NEW YORK TIMES BESTSELLER • Inspired by a major ESPN film series, this is an extraordinary oral history of basketball—its eye-opening untold history, its profound deeper meaning, its transformative influence on the world—as told through an unprecedented series of candid conversations with the game’s ultimate icons. This is the greatest love story never told. It has passion and heartbreak, triumph and betrayal. It is deeply intimate yet crosses oceans, upends lives and changes nations. This is the true story of basketball. It is the story of a Canadian invention that took over America, and the world. Of a supposed “white man’s sport” that became a way for people of color, women, and immigrants to claim a new place in society. Of a game that demands everything of those who love it, yet gives so much back in return. To tell this story, acclaimed journalists Jackie MacMullan, Rafe Bartholomew and Dan Klores embarked on a groundbreaking mission to interview a staggering lineup of basketball trailblazers. For the first time hundreds of legends, from Kobe, Lebron and Steph Curry to Magic Johnson, Dr. J and Jerry West, spoke movingly about their greatest passion. Former NBA commissioner David Stern and iconic coaches like Phil Jackson and Coach K opened up like never before. Those who shattered glass ceilings, from Bill Russell and Yao Ming to Cheryl Miller and Lisa Leslie, explained what it really took to lay claim to their place in the game. At once a definitive oral history and something far more revelatory and life affirming, Basketball: A Love Story is the defining untold oral history of how basketball came to be, and what it means to those who love it.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms