Amazon cover image
Image from Amazon.com

Python for finance: mastering data-driven finance

By: Hilpisch, YvesMaterial type: TextTextPublication details: Sebastopol O’Reilly Media 2019 Edition: 2ndDescription: xviii, 691 pISBN: 9789352137718Subject(s): Python (Computer program language) | Programming languages (Electronic computers)DDC classification: 332.0285 Summary: 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.
List(s) this item appears in: IT & Decision Sciences | Public Policy & General Management
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Book Book Indian Institute of Management LRC
General Stacks
IT & Decisions Sciences 332.0285 HIL (Browse shelf(Opens below)) 1 Available 003644

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.

There are no comments on this title.

to post a comment.

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha