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Hilpisch, Yves:

Published by Gabler Verlag; (2005)

ISBN 10: 3409142460 ISBN 13: 9783409142465

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About this Item: Gabler Verlag;, 2005. gebundene Ausgabe. Condition: Gut. 1. Aufl.. 291 Seiten; Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Sprache: Deutsch Gewicht in Gramm: 620. Seller Inventory # 1482592

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Hilpisch, Yves J.:

Published by Saarbrücken, (2001)

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About this Item: Saarbrücken, 2001. Softcover. 213 p. Book in good Condition! Sprache: Englisch Gewicht in Gramm: 330. Seller Inventory # 163655

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Hilpisch, Yves J.:

Published by Saarbrücken, Rechts- und Wirtschaftswissenschaftliche Fakultät der Universität des Saarlandes, (2001)

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About this Item: Saarbrücken, Rechts- und Wirtschaftswissenschaftliche Fakultät der Universität des Saarlandes, 2001. 8°. O.Broschur. Dissertation. 213 S. Tadellos. 72208 Sprache: Deutsch Gewicht in Gramm: 400. Seller Inventory # 57659

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Hilpisch, Yves

Published by O'Reilly Media, Incorporated

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, Incorporated. Condition: Good. Ships SAME or NEXT business day. We Ship to APO/FPO addr. Choose EXPEDITED shipping and receive in 2-5 business days within the United States. See our member profile for customer support contact info. We have an easy return policy. Seller Inventory # 44561111

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Hilpisch, Yves

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. PAPERBACK. Condition: Good. 1491945281 Good condition with normal wear. Supplemental materials such as CDs or access codes may NOT be included regardless of title. May have bookstore stickers on cover. Expedited shipping available (2-4 day delivery)! Contact us with any questions!. Seller Inventory # Z1491945281Z3

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Yves Hilpisch

ISBN 10: 3834902691 ISBN 13: 9783834902696

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About this Item: Condition: very good. 662 Gramm. Seller Inventory # M03834902691-V

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Yves Hilpisch

Published by Shroff Publishers & Distributors Pvt. Ltd. (2014)

ISBN 10: 9351109305 ISBN 13: 9789351109303

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About this Item: Shroff Publishers & Distributors Pvt. Ltd., 2014. Softcover. Condition: New. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies Printed Pages: 628. Seller Inventory # 92525

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Yves Hilpisch

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: Paperback. Condition: Very Good. Very good condition. Absolutely no highlighting or marking inside the books. Good covers subject to prior use. (Some items may have small creases or dings but are otherwise in excellent condition.) NB: If an item is listed as having a CD/DVD, it will be included. Seller Inventory # AD-00002839-B

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Hilpisch, Yves

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. PAPERBACK. Condition: New. 1491945281 *BRAND NEW* Ships Same Day or Next!. Seller Inventory # SWATI2132898733

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Hilpisch, Yves

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. PAPERBACK. Condition: Fine. 1491945281 *LIKE NEW* Ships Same Day or Next!. Seller Inventory # SWATI21FI981656

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Yves Hilpisch

Published by O'Reilly Media (edition 1)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media (edition 1). Paperback. Condition: New. 1. Brand new item, never opened! Ship within 24hrs. APO/FPO addresses supported. Seller Inventory # 1491945281-9-1

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Yves Hilpisch

Published by Shroff Publishers & Distributors Pvt. Ltd. (2014)

ISBN 10: 9351109305 ISBN 13: 9789351109303

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About this Item: Shroff Publishers & Distributors Pvt. Ltd., 2014. Softcover. Condition: New. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies Printed Pages: 628. Seller Inventory # 92525

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Hilpisch, Yves

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. PAPERBACK. Condition: Fine. 1491945281 Clean, Unmarked Copy. Seller Inventory # TRD000144949

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Hilpisch, Yves

Published by Oand#8242;Reilly (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: Oand#8242;Reilly, 2014. PAP. Condition: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Seller Inventory # WO-9781491945285

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Yves Hilpisch

Published by O Reilly Media, Inc, USA, United States (2016)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O Reilly Media, Inc, USA, United States, 2016. Paperback. Condition: New. Language: English . Brand New Book. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies. Seller Inventory # AAH9781491945285

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Yves Hilpisch

Published by O Reilly Media, Inc, USA, United States (2016)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O Reilly Media, Inc, USA, United States, 2016. Paperback. Condition: New. Language: English . Brand New Book. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies. Seller Inventory # AAH9781491945285

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Hilpisch, Yves

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: New. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Num Pages: 606 pages, black & white illustrations. BIC Classification: UMW. Category: (P) Professional & Vocational. Dimension: 231 x 177 x 29. Weight in Grams: 1044. . 2014. 1st Edition. Paperback. . . . . . Seller Inventory # V9781491945285

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Yves Hilpisch

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: Good. A+ Customer service! Satisfaction Guaranteed! Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. Seller Inventory # 1491945281-2-4

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Yves Hilpisch

Published by O'Reilly Media, Inc, USA

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, Inc, USA. Paperback. Condition: New. New copy - Usually dispatched within 2 working days. Seller Inventory # B9781491945285

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Hilpisch, Yves

Published by O'Reilly Media 12/27/2014 (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media 12/27/2014, 2014. Paperback or Softback. Condition: New. Python for Finance: Analyze Big Financial Data. Book. Seller Inventory # BBS-9781491945285

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Yves Hilpisch

Published by O'Reilly 2014-12-27, Beijing (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly 2014-12-27, Beijing, 2014. paperback. Condition: New. Seller Inventory # 9781491945285

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Yves Hilpisch

Published by Shroff Publishers & Distributors Pvt. Ltd. (2014)

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About this Item: Shroff Publishers & Distributors Pvt. Ltd., 2014. Softcover. Condition: New. The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks, with topics that include: Fundamentals: Python data structures, NumPy array handling, time series analysis with pandas, visualization with matplotlib, high performance I/O operations with PyTables, date/time information handling, and selected best practices Financial topics: mathematical techniques with NumPy, SciPy and SymPy such as regression and optimization; stochastics for Monte Carlo simulation, Value-at-Risk, and Credit-Value-at-Risk calculations; statistics for normality tests, mean-variance portfolio optimization, principal component analysis (PCA), and Bayesian regression Special topics: performance Python for financial algorithms, such as vectorization and parallelization, integrating Python with Excel, and building financial applications based on Web technologies Printed Pages: 628. Seller Inventory # 92525

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Yves Hilpisch

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: UsedAcceptable. book. Seller Inventory # M1491945281_4

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Hilpisch, Yves

Published by O'Reilly Media (2018)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2018. Paperback. Condition: New. Never used! This item is printed on demand. Seller Inventory # 1491945281

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Yves Hilpisch

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: New. Seller Inventory # GH9781491945285

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Yves Hilpisch

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: New. book. Seller Inventory # MB011T80A6U

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Hilpisch, Yves

Published by O'Reilly Media (2018)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2018. Paperback. Condition: New. Brand New! This item is printed on demand. Seller Inventory # 1491945281

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Hilpisch, Yves

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. PAPERBACK. Condition: New. 1491945281 Brand New ,Original Book , Direct from Source , Express 5-8 business days worldwide delivery. Seller Inventory # DG#I213667

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Yves Hilpisch

Published by O'Reilly Media (2014)

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media, 2014. Condition: New. book. Seller Inventory # ria9781491945285_rkm

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Yves Hilpisch

Published by O'Reilly Media

ISBN 10: 1491945281 ISBN 13: 9781491945285

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About this Item: O'Reilly Media. Paperback. Condition: New. 350 pages. Dimensions: 9.2in. x 7.0in. x 0.6in.The world of finance requires detailed analysis of large amounts of data in short periods of time. Python for Finance provides the Python techniques and tools you need to successfully apply Python for the development of financial applications and interactive financial analytics. The first part of the book shows you how to set-up your Python infrastructure, the second part is more topic-oriented, and the third part provides relevant case studies. The author includes topics such as integration with Excel, stochastics, statistical analysis, and handling derivatives valuation (through a Monte Carlo simulation). Useful Python libraries are also covered, including NumPy, SciPy, matplotlib, and pandas. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9781491945285

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