Articoli correlati a Python for Finance: Analyze Big Financial Data
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.
Compra usato
Condizioni: molto buonoGut/Very good: Buch bzw. Schutzumschlag...
Visualizza questo articolo
EUR 29,60
EUR 4,50 per la spedizione da Germania a Italia
Destinazione, tempi e costiCompra nuovo
Visualizza questo articolo
EUR 87,25
EUR 25,91 per la spedizione da U.S.A. a Italia
Destinazione, tempi e costiRisultati della ricerca per Python for Finance: Analyze Big Financial Data
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: medimops, Berlin, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages. Codice articolo M01491945281-V
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: Brit Books, Milton Keynes, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Used; Good. ***Simply Brit*** Welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there is something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. Codice articolo 3373159
Quantità: 1 disponibili
Foto dell'editore
Python for Finance
Editore:
O'Reilly, Sebastopol, 2015
ISBN 10: 1491945281
ISBN 13: 9781491945285
Antico o usato
Soft cover
Da: The Calder Bookshop & Theatre, London, Regno Unito
Valutazione del venditore 4 su 5 stelle
Soft cover. Condizione: Very Good. A guide to using the coding language in the realm of finance. Light crease along front cover where book has been opened; extremely light wear to corners of front cover; otherwise in excellent condition. Codice articolo 003065A
Quantità: 1 disponibili
Foto dell'editore
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 3IIK3O004NS5
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: HPB-Emerald, 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_441087074
Quantità: 1 disponibili
Foto dell'editore
Python for Finance: Analyze Big Financial Data
Da: Toscana Books, AUSTIN, TX, U.S.A.
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Codice articolo Scanned1491945281
Quantità: 1 disponibili