Saving Monticello


Book Description

The complete history of Thomas Jefferson's iconic American home, Monticello, and how it was not only saved after Jefferson's death, but ultimately made into a National Historic Landmark. When Thomas Jefferson died on the Fourth of July 1826, he was more than $100,000 in debt. Forced to sell thousands of acres of his lands and nearly all of his furniture and artwork, in 1831 his heirs bid a final goodbye to Monticello itself. The house their illustrious patriarch had lovingly designed in the Blue Ridge Mountains of Virginia, his beloved "essay in architecture," was sold to the highest bidder. So how did it become the national landmark it is today? Saving Monticello offers the first complete post-Jefferson history of this American icon and reveals the amazing story of how one Jewish family saved the house that became their family home. With a dramatic narrative sweep across generations, Marc Leepson vividly recounts the turbulent saga of this fabled estate. Monticello's first savior was the mercurial U.S. Navy Commodore Uriah Phillips Levy, a sailor celebrated for his successful campaign to ban flogging in the Navy and excoriated for his stubborn willfulness. In 1833, Levy discovered that Jefferson's mansion had fallen into a miserable state of decay. Acquiring the ruined estate and committing his considerable resources to its renewal, he began what became a tumultuous nine-decade relationship between his family and Jefferson's home. After passing from Levy control at the time of the commodore's death, Monticello fell once more into hard times. Again, a member of the Levy family came to the rescue. Uriah's nephew, a three-term New York congressman and wealthy real estate and stock speculator, gained possession in 1879. After Jefferson Levy poured hundreds of thousands of dollars into its repair and upkeep, his chief reward was to face a vicious national campaign, with anti-Semitic overtones, to expropriate the house and turn it over to the government. Only after the campaign had failed, with Levy declaring that he would sell Monticello only when the White House itself was offered for sale, did Levy relinquish it to the Thomas Jefferson Foundation in 1923. Pulling back the veil of history to reveal a story we thought we knew, Saving Monticello establishes this most American of houses as more truly reflective of the American experience than has ever been fully appreciated.




Analyzing Baseball Data with R, Second Edition


Book Description

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr, purrr, and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability, and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples, you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets, he is a co-author of The Sabermetric Revolution and Modern Data Science with R.







Analyzing Baseball Data with R


Book Description

“Our community has continued to grow exponentially, thanks to those who inspire the next generation. And inspiring the next generation is what the authors of Analyzing Baseball Data with R are doing. They are setting the career path for still thousands more. We all need some sort of kickstart to take that first or second step. You may be a beginner R coder, but you need access to baseball data. How do you access this data, how do you manipulate it, how do you analyze it? This is what this book does for you. But it does more, by doing what sabermetrics does best: it asks baseball questions. Throughout the book, baseball questions are asked, some straightforward, and others more thought-provoking.” From the Foreword by Tom Tango Analyzing Baseball Data with R Third Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics, including the Pythagorean formula, runs expectancy, catcher framing, career trajectories, simulation of games and seasons, patterns of streaky behavior of players, and launch angles and exit velocities. All the datasets and R code used in the text are available for download online. New to the third edition is the revised R code to make use of new functions made available through the tidyverse. The third edition introduces three chapters of new material, focusing on communicating results via presentations using the Quarto publishing system, web applications using the Shiny package, and working with large data files. An online version of this book is hosted at https://beanumber.github.io/abdwr3e/.




Book Review Index


Book Description

Vols. 8-10 of the 1965-1984 master cumulation constitute a title index.







Book Review Digest


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Reports from Committees


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The Revised Latin Primer


Book Description




Nonlinear Functional Analysis and its Applications


Book Description

The fourth of a five-volume exposition of the main principles of nonlinear functional analysis and its applications to the natural sciences, economics, and numerical analysis. The presentation is self-contained and accessible to the non-specialist, and topics covered include applications to mechanics, elasticity, plasticity, hydrodynamics, thermodynamics, statistical physics, and special and general relativity including cosmology. The book contains a detailed physical motivation of the relevant basic equations and a discussion of particular problems which have played a significant role in the development of physics and through which important mathematical and physical insight may be gained. It combines classical and modern ideas to build a bridge between the language and thoughts of physicists and mathematicians. Many exercises and a comprehensive bibliography complement the text.