Sinossi
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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Yves Hilpisch is the founder and managing partner of The Python Quants, an analytics software provider and financial engineering group. The Python Quants offer, among others, the Python Quant Platform (http://quant-platform.com) and DX Analytics (http://dx-analytics.com). Yves also lectures on mathematical finance and organizes meetups and conferences about Python for Quantitative Finance in New York and London.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Python for Finance: Analyze Big Financial Data
Immagini fornite dal venditore
Python for Finance: Analyze Big Financial Data
Da: Bay State Book Company, North Smithfield, RI, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: very_good. Codice articolo BSM.16CGE
Compra usato
EUR 13,20
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: HPB-Red, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_466486685
Compra usato
EUR 11,24
Spedizione EUR 3,27
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Python for Finance: Analyze Big Financial Data
Da: Goodwill Books, Hillsboro, OR, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included. Codice articolo GICWV.1491945281.A
Compra usato
EUR 11,24
Spedizione EUR 3,48
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: HPB-Diamond, Dallas, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Codice articolo S_469635991
Compra usato
EUR 13,13
Spedizione EUR 3,27
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Python for Finance: Analyze Big Financial Data
Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Valutazione del venditore 5 su 5 stelle
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Codice articolo GWSVV.1491945281.G
Compra usato
EUR 14,82
Spedizione EUR 3,48
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: medimops, Berlin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Codice articolo M01491945281-G
Compra usato
EUR 34,69
Spedizione EUR 10,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: GoldBooks, Denver, CO, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. New Copy. Customer Service Guaranteed. Codice articolo 30U62_52_1491945281
Compra nuovo
EUR 46,47
Spedizione EUR 4,80
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Editore:
O'Reilly Media, United States, Sebastopol, 2015
ISBN 10: 1491945281
ISBN 13: 9781491945285
Antico o usato
Paperback
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Codice articolo GOR008592905
Compra usato
EUR 45,47
Spedizione EUR 6,61
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 4 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: YESIBOOKSTORE, MIAMI, FL, U.S.A.
Valutazione del venditore 3 su 5 stelle
paperback. Condizione: As New. Codice articolo 1491945281-VB
Compra usato
EUR 54,95
Spedizione gratuita
Spedito in U.S.A.
Spedito in U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: Greener Books, London, Regno Unito
Valutazione del venditore 4 su 5 stelle
Paperback. Condizione: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books. Codice articolo 5138230
Compra usato
EUR 32,08
Spedizione EUR 23,61
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili