ID: 1589
Python for Finance 9781491945285
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ISBN: 9781491945285
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; stoch
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.
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; stoch
Dit artikel bestel je voordelig 2e hands op studystore.nlIn goede staat, snel in huis én gratis thuisbezorgd. Toelichting:De prijs in deze advertentie is gebaseerd op onze laagste 2e hands prijs (OP=OP).Zodra een 2e hands boek op is, kan het voorkomen dat je op Studystore het boek alleen nog nieuw kunt bestellen.