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 by
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.
Mastering Python for Finance
- About Book
- Who Is This Book For?
- Book Content
Book content
11 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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