Weiming (225 Ergebnisse)

- Softcover
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Paperback. Zustand: Good. A workshop sponsored by the American Academy of Arts and Sciences in 1989 brought together more than two dozen scholars in the humanities and social sciences to explore Confucian ethics as a common intellectual discourse in East Asia. The participants included specialists on the societies of China, Japan, Korea, Taiwan, Hong Kong, and Singapore as well as scholars who specialize in comparative studies. In nine intensive sessions, they probed the ways in which the Confucian ethic has shaped perceptions of selfhood, dynamics of familial relations, gender construction, social organization, political authority, popular beliefs, and economic culture in East Asia. This book is a distillation of the essence of their multidisciplinary and cross-cultural examination of these issues. It seeks especially to illuminate claims that Confucian ethics have provided the necessary background and a powerful motivation in the rise of industrial East Asia, the most dynamic region of sustained economic growth and political development since World War II.…

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- Softcover
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Paperback. Zustand: Very Good. Is the Confucian tradition compatible with the Western understanding of human rights? Are there fundamental human values, regardless of cultural differences, common to all peoples of all nations? At this critical point in Communist China's history, eighteen distinguished scholars address the role of Confucianism in dealing with questions of universal human rights.…

Sprache: Englisch
Verlag: Columbia University Press (edition Revised), 1999
- Softcover
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- Softcover
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- Softcover
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- Softcover
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Paperback. Zustand: Very Good. Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key Features Explore advanced financial models used by the industry and ways of solving them using Python Build state-of-the-art infrastructure for modeling, visualization, trading, and more Empower your financial applications by applying machine learning and deep learning Book DescriptionThe second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.What you will learn Solve linear and nonlinear models representing various financial problems Perform principal component analysis on the DOW index and its components Analyze, predict, and forecast stationary and non-stationary time series processes Create an event-driven backtesting tool and measure your strategies Build a high-frequency algorithmic trading platform with Python Replicate the CBOT VIX index with SPX options for studying VIX-based strategies Perform regression-based and classification-based machine learning tasks for prediction Use TensorFlow and Keras in deep learning neural network architecture Who this book is forIf you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.…

- Softcover
Anbieter: World of Books (was SecondSale), Montgomery, IL, USAWorld of Books (was SecondSale)
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Paperback. Zustand: Good. Take your financial skills to the next level by mastering cutting-edge mathematical and statistical financial applications Key Features Explore advanced financial models used by the industry and ways of solving them using Python Build state-of-the-art infrastructure for modeling, visualization, trading, and more Empower your financial applications by applying machine learning and deep learning Book DescriptionThe second edition of Mastering Python for Finance will guide you through carrying out complex financial calculations practiced in the industry of finance by using next-generation methodologies. You will master the Python ecosystem by leveraging publicly available tools to successfully perform research studies and modeling, and learn to manage risks with the help of advanced examples. You will start by setting up your Jupyter notebook to implement the tasks throughout the book. You will learn to make efficient and powerful data-driven financial decisions using popular libraries such as TensorFlow, Keras, Numpy, SciPy, and scikit-learn. You will also learn how to build financial applications by mastering concepts such as stocks, options, interest rates and their derivatives, and risk analytics using computational methods. With these foundations, you will learn to apply statistical analysis to time series data, and understand how time series data is useful for implementing an event-driven backtesting system and for working with high-frequency data in building an algorithmic trading platform. Finally, you will explore machine learning and deep learning techniques that are applied in finance. By the end of this book, you will be able to apply Python to different paradigms in the financial industry and perform efficient data analysis.What you will learn Solve linear and nonlinear models representing various financial problems Perform principal component analysis on the DOW index and its components Analyze, predict, and forecast stationary and non-stationary time series processes Create an event-driven backtesting tool and measure your strategies Build a high-frequency algorithmic trading platform with Python Replicate the CBOT VIX index with SPX options for studying VIX-based strategies Perform regression-based and classification-based machine learning tasks for prediction Use TensorFlow and Keras in deep learning neural network architecture Who this book is forIf you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.…

- Softcover
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Zustand: Good. Good condition. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Sprache: Englisch
Verlag: Dorling Kindersley Publishing, Incorporated, 2009
- Softcover
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Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Sprache: Englisch
Verlag: Dorling Kindersley Publishing, Incorporated, 2009
- Softcover
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- Softcover
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Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

- Softcover
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- Softcover
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- Softcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Softcover
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- Hardcover
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- Softcover
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- Softcover
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- Softcover
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Zustand: Good. New Ed. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

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- Softcover
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Paperback. Zustand: Fair. Exploring correspondences between the Confucian and Buddhist world-views, the interlocutors commit themselves to a view of spirituality and religion that, without blurring cultural difference, is focused above all on the 'universal heart': on harmony between people and nature that leads to peace and to a hopeful future for all humanity.…

- Softcover
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

- Softcover
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Weitere Bilder- Softcover
- Erstausgabe
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Trade Paperback. Zustand: Very Good. First Paperback Edition. First Edition, First Printing. Published by Harvard University Press, 1994. Octavo. Book is very good with light toning to the page ends, and very light creasing to the top back corner. 100% positive feedback. 30 day money back guarantee. NEXT DAY SHIPPING! Excellent customer service. Please email with any questions or if you would like a photo. All books packed carefully and ship with free delivery confirmation/tracking. All books come with free bookmarks. Ships from Sag Harbor, New York. …