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Python for Finance Cookbook

You're reading from  Python for Finance Cookbook

Product type Book
Published in Jan 2020
Publisher Packt
ISBN-13 9781789618518
Pages 432 pages
Edition 1st Edition
Languages
Author (1):
Eryk Lewinson Eryk Lewinson
Profile icon Eryk Lewinson

Table of Contents (12) Chapters

Preface Financial Data and Preprocessing Technical Analysis in Python Time Series Modeling Multi-Factor Models Modeling Volatility with GARCH Class Models Monte Carlo Simulations in Finance Asset Allocation in Python Identifying Credit Default with Machine Learning Advanced Machine Learning Models in Finance Deep Learning in Finance Other Books You May Enjoy

Sections

In this book, you will find several headings that appear frequently (Getting ready, How to do it..., How it works..., There's more..., and See also).

To give clear instructions on how to complete a recipe, use these sections as follows:

Getting ready

This section tells you what to expect in the recipe and describes how to set up any software or any preliminary settings required for the recipe.

How to do it...

This section contains the steps required to follow the recipe.

How it works...

This section usually consists of a detailed explanation of what happened in the previous section.

There's more...

This section consists of additional information about the recipe in order to make you more knowledgeable about the recipe.

See also

This section provides helpful links to other useful information for the recipe.

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