Python for Finance [Audiobook] download free by Yves Hilpisch

Python for Finance Audiobook download free by Yves Hilpisch
  • Listen audiobook: Python for Finance
  • Author: Yves Hilpisch
  • Release date: 2016/9/10
  • Publisher: O'REILLY MEDIA, INC, USA
  • Language: English
  • Genre or Collection: Business, Finance and Law
  • ISBN: 9781491945285
  • Rating: 8.17 of 10
  • Votes: 492
  • Review by: Coen Bender
  • Review rating: 8.97 of 10
  • Review Date: 2018/10/21
  • Duration: 7H34M6S in 256 kbps (121.2 MB)
  • Date of creation of the audiobook: 2018-08-09
  • You can listen to this audiobook in formats: WAV, MP3, MPEG4, FLAC, WMA, Vorbis (compression ACE, RAR, ZIP, DMG, 7Z, TZ)
  • Total pages original book: 606
  • Includes a PDF summary of 60 pages
  • Duration of the summary (audio): 46M14S (12 MB)
  • Description or summary of the audiobook: 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
  • Other categories, genre or collection: Computer Programming / Software Development, Web Programming, Computer Science, Finance, Programming & Scripting Languages: General
  • Download servers:, Hotfile, MyUpload, Mediafire, Uploaded, 4Shared. Compressed in ACE, RAR, ZIP, DMG, 7Z, TZ
  • Format: Paperback
  • Approximate value: 44.23 USD
  • Dimensions: 181x233x31mm
  • Weight: 1,030g
  • Printed by: Not Available
  • Published in: Sebastopol, United States

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