The American Battlefield Protection Program (ABPP) of the U.S. National Park Service presents the Civil War Sites Advisory Commission (CWSAC) battle summary of the Battle of Deep Bottom II in Virginia, which was considered a Confederate victory. The summary notes other names for the battle, its location, the larger military campaign, dates, commanders, forces engaged, estimated casualties, and includes a battle description.

The American Battlefield Protection Program (ABPP) of the U.S. National Park Service presents the Civil War Sites Advisory Commission (CWSAC) battle summary of the Battle of Deep Bottom I in Virginia, which was considered a Confederate victory. The summary notes other names for the battle, its location, the larger military campaign, dates, commanders, forces engaged, estimated casualties, and includes a battle description.

203rd Pennsylvania Volunteers: Southeastern Pennsylvania at War 1864–65 By: Valgene Dunham 203rd Pennsylvania Volunteers is the history of a reserve Civil War regiment that was enlisted from Southeastern Pennsylvania in September 1864. Originally intended to be a special regiment of Sharpshooters, the unit was altered when their commander, General David Birney died before the regiment was completely formed. The author, a retired biologist, introduces the book as a newcomer to Southeastern Pennsylvania who wishes to understand the natural, societal, and cultural characteristics of the region that led young men to enlist so late in a war that was not going well for the Union. Consequently, the book presents the history of the area that involves the influence of early geological formations, Native Americans, various religious movements, and the importance of farming and related industry. In addition, the book includes past military heroes from the area during the Revolutionary and Mexican Wars. The regiment is traced through its training at Camp Cadwalader, near the present Philadelphia airport, and its journey to the front in Virginia. This first book written about this regiment serves to emphasize the importance and flexibility of reserve regiments in the last year of the Civil War and how men from the farm and the city came together in a fighting force. The regiment paid a tremendous price in the Battle of Fort Fisher on the North Carolina coast so far away. The involvement of local groups of men enlisting together is presented in a chapter about the music of the Civil War in which eleven members of the New Holland Band, Lancaster County, joined the 203rd together to make up one half of the regiment’s band. This is the third book the author has written about the Civil War, all started by his receiving his great-great-grandfather’s letters home before he was killed in the Battle of Hatcher’s Run II in the afternoon of February 6, 1865. The author trusts that this book about the men of Southeastern Pennsylvania will stimulate interest about the war and an understanding of how the region prepared those Men in Blue for their heroic efforts in saving the Union.

A practical guide to data-intensive humanities research using the Python programming language The use of quantitative methods in the humanities and related social sciences has increased considerably in recent years, allowing researchers to discover patterns in a vast range of source materials. Despite this growth, there are few resources addressed to students and scholars who wish to take advantage of these powerful tools. Humanities Data Analysis offers the first intermediate-level guide to quantitative data analysis for humanities students and scholars using the Python programming language. This practical textbook, which assumes a basic knowledge of Python, teaches readers the necessary skills for conducting humanities research in the rapidly developing digital environment. The book begins with an overview of the place of data science in the humanities, and proceeds to cover data carpentry: the essential techniques for gathering, cleaning, representing, and transforming textual and tabular data. Then, drawing from real-world, publicly available data sets that cover a variety of scholarly domains, the book delves into detailed case studies. Focusing on textual data analysis, the authors explore such diverse topics as network analysis, genre theory, onomastics, literacy, author attribution, mapping, stylometry, topic modeling, and time series analysis. Exercises and resources for further reading are provided at the end of each chapter. An ideal resource for humanities students and scholars aiming to take their Python skills to the next level, Humanities Data Analysis illustrates the benefits that quantitative methods can bring to complex research questions. Appropriate for advanced undergraduates, graduate students, and scholars with a basic knowledge of Python Applicable to many humanities disciplines, including history, literature, and sociology Offers real-world case studies using publicly available data sets Provides exercises at the end of each chapter for students to test acquired skills Emphasizes visual storytelling via data visualizations

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