The Doolittle Family in America

The Doolittle Family in America

Author: William Frederick Doolittle

Publisher: Legare Street Press

Published: 2022-10-27

Total Pages: 0

ISBN-13: 9781015736184

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This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.


Civil Appeals

Civil Appeals

Author: Michael Burton

Publisher: Xpl Pub

Published: 2011-12-01

Total Pages: 600

ISBN-13: 9781858113791

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Any practitioner faced with the decision as to whether to appeal, or who has questions arising at each stage, will benefit enormously from a book that examines the law, principles, procedures, and processes involved. This leading work has been updated and restructured, to ensure it provides guidance on the complete and complex process of making a civil appeal. Clearly written and cross referenced, the books UK/European coverage of appeals includes: -- District Judges to Circuit Judges in the County Court -- Masters and District Judges to High Court Judges -- Court of Appeal -- House of Lords -- Privy Council -- The European Court -- The European Court of Human Rights -- Administrative Law and Elections


Think Complexity

Think Complexity

Author: Allen B. Downey

Publisher: "O'Reilly Media, Inc."

Published: 2012-02-23

Total Pages: 159

ISBN-13: 1449331696

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Expand your Python skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations. You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise. Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tables Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get starter code and solutions to help you re-implement and extend original experiments in complexity Explore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topics Examine case studies of complex systems submitted by students and readers