Python for finance : mastering data-driven finance

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guidi...

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Bibliographic Details
Main Author: Hilpisch, Yves J., (Author)
Format: eBook
Language: English
Published: Sebastopol, CA : O'Reilly Media, 2018.
Edition: Second edition.
Subjects:
finanční inženýrství
zpracování dat
finance
statistické metody
Python (programovací jazyk)
financial engineering
data processing
statistical methods
Python (programming language)
elektronické knihy
monografie
electronic books
monographs
ISBN: 9781492024316
9781492024293
9781492024330
Physical Description: 1 online zdroj (xviii, 691 stran) : ilustrace

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Table of contents

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100 1 |a Hilpisch, Yves J.,  |e author. 
245 1 0 |a Python for finance :  |b mastering data-driven finance /  |c Yves Hilpisch. 
250 |a Second edition. 
264 1 |a Sebastopol, CA :  |b O'Reilly Media,  |c 2018. 
264 4 |c ©2019 
300 |a 1 online zdroj (xviii, 691 stran) :  |b ilustrace 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout 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.- Resumé vydavatel 
590 |a eBooks on EBSCOhost  |b All EBSCO eBooks 
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650 0 7 |a zpracování dat  |2 czenas  |7 ph127675 
650 0 7 |a finance  |2 czenas  |7 ph114548 
650 0 7 |a statistické metody  |2 czenas  |7 ph135431 
650 0 7 |a Python (programovací jazyk)  |2 czenas  |7 ph170668 
650 0 9 |a financial engineering  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
650 0 9 |a finance  |2 eczenas 
650 0 9 |a statistical methods  |2 eczenas 
650 0 9 |a Python (programming language)  |2 eczenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 7 |a monografie  |7 fd132842  |2 czenas 
655 9 |a electronic books  |2 eczenas 
655 9 |a monographs  |2 eczenas 
776 0 8 |i Print version:  |a Hilpisch, Yves J.  |t Python for finance.  |b Second edition.  |d Sebastopol, CA : O'Reilly Media, 2018  |z 1492024333  |w (OCoLC)1026260037 
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