Book

Mastering Python for Finance

This book enables you to develop financial applications by harnessing Python’s strengths in data visualization, interactive analytics, and scientific computing. You will be using popular libraries such as TensorFlow, Keras, scikit-learn, and so on to extend the functionalities of your financial applications by using smart machine learning techniques.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

14h12m

Language

English

About Book

Who Is This Book For?

If you are a financial or data analyst or a software developer in the financial industry who is interested in using advanced Python techniques for quantitative methods in finance, this is the book you need! You will also find this book useful if you want to extend the functionalities of your existing financial applications by using smart machine learning techniques. Prior experience in Python is required.

Book content

chapters 14h12m total length

Overview of Financial Analysis with Python

The Importance of Linearity in Finance

Nonlinearity in Finance

Numerical Methods for Pricing Options

Modeling Interest Rates and Derivates

Statistical Analysis of Time Series Data

Interactive Financial Analytics with VIX

Building an Algorithmic Trading Platform

Implementing a Backtesting System

Machine Learning for Finance

Deep Learning for Finance

Related Resources

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