Provides a review of introductory noncalculus-based physics for those who do not have a strong background in mathematics.

    It avoids overburdening the reader with topographical detail that is unnecessary for the medical student. Minimum assumptions are made of existing knowledge of the subject.'Key point' boxes for reinforcement and quick revision Glossary of important terms 'Clinical detail' boxes closely integrated with relevant neuroanatomyComplete revision and updating of text. Revision nad expansion of summary chapter, providing overview of entire subject. Clinical material updated to reflect current prevalence of neurological disease. Artwork entirely redrawn for improved clarity and closer integration with text.

    An illustration program supports the concepts and theories discussed.

    It can also serve as a one-semester introductory course at the beginning graduate level, as a useful precursor to a more serious study of CFD in advanced books. It is presented in a very readable, informal, enjoyable style.

    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

    America's most widely used introduction to jazz, it teaches the chronology of jazz by showing students how to listen and what to notice in each style. Though originally conceived for nonmusicians and written at a college freshmen reading level, Jazz Styles also has been widely adopted in courses for musicians because of its point-by-point specification of each style's musical characteristics and its technical appendix. The text helps students hear how the styles differ and why the top names are important. The book's listening guides offer in-depth analysis for 38 historic recordings contained on the 2CD Jazz Classics collection.

    Auguste Rodin spoke candidly to his protégé, Paul Gsell, who recorded the master's thoughts not only about the technical secrets of his craft, but also about its aesthetic and philosophical underpinnings.Here is the real Rodin—relaxed, intimate, open, and charming—offering a wealth of observations on the relationship of sculpture to poetry, painting, theater, and music. He also makes perceptive comments on Rembrandt, Michelangelo, Raphael, and other great artists, and he shares revealing anecdotes about Hugo, Balzac, and others who posed for him. Seventy-six superb illustrations of the sculptor's works complement the text, including St John the Baptist Preaching, The Burghers of Calais, The Thinker, and many others, along with a selection of exuberant drawings and prints.

    The authors' comprehensive experience in legal practice, banking and teaching have enabled them to provide a condensed and easy to understand coverage of business law principles and areas of interest related thereto.

    Filled with facts, trivia, and stories about the world’s musicians, instruments, songs, and more, this endlessly diverting "plunge" dips into the history of Motown, muzak, and marching bands; tells the secret stories behind the hits; explores legendary venues like the Grand Ole Opry, the Apollo, and the Fillmore; spots the rarely sighted “two-hit wonders”; describes the origins of karaoke, rap music, and the cha cha cha. In short, it includes all the music news that’s fit to print is here in a variety of formats — longer entries for extended sojourns and brief tidbits for shorter stays.

    The book s two-part coverage organizes topics under basic theory, and assembles an arsenal of approximation schemes with illustrative applications. For physicists and engineers. "

    The Official Cambridge Guide To Ielts Student's Book With Answers With Dvd Rom

    Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of "Learning Python" puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. "Learning Python," Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of "Learning Python" also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of "Learning Python" gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding."Learning Python," Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then "Learning Python," Second Edition is your best choice.

    The Intellectual Devotional is a secular version of the same—a collection of 365 short lessons that will inspire and invigorate the reader every day of the year. Each daily digest of wisdom is drawn from one of seven fields of knowledge: history, literature, philosophy, mathematics and science, religion, fine arts, and music.Impress your friends by explaining Plato's Cave Allegory, pepper your cocktail party conversation with opera terms, and unlock the mystery of how batteries work. Daily readings range from important passages in literature to basic principles of physics, from pivotal events in history to images of famous paintings with accompanying analysis. The book's goal is to refresh knowledge we've forgotten, make new discoveries, and exercise modes of thinking that are ordinarily neglected once our school days are behind us. Offering an escape from the daily grind to contemplate higher things, The Intellectual Devotional is a great way to awaken in the morning or to revitalize one's mind before retiring in the evening.

    Spanning the Middle Ages through the twenty-first century, the text offers a thorough introduction to the elements of music, a broad overview of the history of musical styles, and fascinating cultural contexts and perspectives. The Ninth Edition of this classic text features a stunning new design, exciting new repertory, and an unmatched ancillary and media package.

    Renowned for her lucid, accessible prose, Epp explains complex, abstract concepts with clarity and precision. This book presents not only the major themes of discrete mathematics, but also the reasoning that underlies mathematical thought. Students develop the ability to think abstractly as they study the ideas of logic and proof. While learning about such concepts as logic circuits and computer addition, algorithm analysis, recursive thinking, computability, automata, cryptography, and combinatorics, students discover that the ideas of discrete mathematics underlie and are essential to the science and technology of the computer age. Overall, Epp's emphasis on reasoning provides students with a strong foundation for computer science and upper-level mathematics courses.