Digital library
Textbooks, references and open learning resources.
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Computer-Aided Exercises in Civil Procedure
Roger Park; Douglas McFarland · CALI's eLangdell® Press · 2014
The sixth edition, first published as an ebook, and this seventh edition carry forward the philosophy and structure of the earlier editions. This book is not a comprehensive treatise on the subject of civil procedure, yet it provides a mixture of expository text, cases, and self-testing questions in nearly all of the major areas of the subject. In order to maximize accessibility, flexibility, and compatibility of the book, the authors have chosen CALI's eLangdell Press to publish and distribute the sixth edition (as chapters) and this revised seventh (as a complete book) electronically with a Creative Commons license. Publishing a law textbook electronically with far fewer restrictions than most commercial books and using a somewhat new, boutique outfit such as eLangdell Press is an unconventional choice, to say the least. But the authors share the eLangdell vision of more flexible teaching materials for professors and more cost-effective books for students. Professors may now edit and remix this work to match their teaching without worry of copyright infringement. Students may now adopt this book, read it using any number of software or devices, and even print it - all for free. The book's authors, like its publishers, believe that this new book model represents an important and long overdue step forward in the way law school books are published. All the exercises have been substantially revised for this edition. The individual exercises also are reorganized and expanded so that they follow a more standardized pattern: expository text on the topic area, work-book questions, and introduction to the related online CALI lessons. This book, and the accompanying interactive exercises known as CALI Lessons available online through the Center for Computer-Assisted Legal Instruction (CALI) at www.cali.org, are intended to provide a challenging educational experience. For each exercise, students should read the text in this book and answer the questions before accessing the
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Artificial Intelligence and Librarianship
Martin Frické · SoftOption · 2024
Courses on Artificial Intelligence (AI) and Librarianship in ALA-accredited Masters of Library and Information (MLIS) degrees are rare. We have all been surprised by ChatGPT and similar Large Language Models. Generative AI is an important new area for librarianship. It is also developing so rapidly that no one can really keep up. Those trying to produce AI courses for the MLIS degree need all the help they can get. This book is a gesture of support. It consists of about 100,000 words on the topic, with a 4-500 item bibliography. The third edition has changes and additions. These include: a new Chapter 6 on evaluation and the future new materials in Chapter 5 on current large language and multimodal models scattered revisions, corrections, and updates.
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x86-64 Assembly Language Programming with Ubuntu
Ed Jorgensen · Ed Jorgensen · 2019
The purpose of this text is to provide a reference for University level assembly language and systems programming courses. Specifically, this text addresses the x86-64 instruction set for the popular x86-64 class of processors using the Ubuntu 64-bit Operating System (OS). While the provided code and various examples should work under any Linux-based 64-bit OS, they have only been tested under Ubuntu 14.04 LTS (64-bit). The x86-64 is a Complex Instruction Set Computing (CISC) CPU design. This refers to the internal processor design philosophy. CISC processors typically include a wide variety of instructions (sometimes overlapping), varying instructions sizes, and a wide range of addressing modes. The term was retroactively coined in contrast to Reduced Instruction Set Computer (RISC3).
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Think Complexity: Exploring Complexity Science with Python
Allen Downey · Green Tea Press · 2018
Complexity science uses computation to explore the physical and social sciences. In Think Complexity, you'll use graphs, cellular automata, and agent-based models to study topics in physics, biology, and economics. 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 worked examples, exercises, case studies, and easy-to-understand explanations. In this updated second edition, you will: Work with NumPy arrays and SciPy methods, including basic signal processing and Fast Fourier Transform Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines Get Jupyter notebooks filled with starter code and solutions to help you re-implement and extend original experiments in complexity; and models of computation like Turmites, Turing machines, and cellular automata Explore the philosophy of science, including the nature of scientific laws, theory choice, and realism and instrumentalism Ideal as a text for a course on computational modeling in Python, Think Complexity also helps self-learners gain valuable experience with topics and ideas they might not encounter otherwise.
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Think Data Structures - Algorithms and Information Retrieval in Java
Allen B. Downey · Olin College
In the contents: 07: Getting to Philosophy