April 2019
Intermediate to advanced
426 pages
11h 13m
English
Overview
This book, Mastering Python for Finance, introduces you to advanced Python techniques tailored for financial analysis and application development. You will dive into practical utilities of Python libraries like TensorFlow, scikit-learn, and Keras to tackle challenges in financial modeling, interactive analytics, and predictive strategies.
What this Book will help me do
- Develop advanced Python applications for financial calculations and data analysis.
- Create effective algorithmic trading platforms integrating high-frequency data.
- Perform predictive analytics using machine learning for financial forecasting.
- Apply sophisticated risk management techniques using Python tools.
- Master visualization and backtesting methods to evaluate financial strategies.
Author(s)
James Ma Weiming has extensive experience in finance and Python programming. With a background in quantitative analysis and a talent for practical instruction, he brings a wealth of knowledge to technical learners. Through his writing, he aims to empower readers with tools and skills to innovate in their financial workflows.
Who is it for?
This book is designed for financial analysts, quantitative traders, or developers in finance who want to enhance their skill set with Python. Ideal for those possessing foundational programming knowledge seeking to apply advanced computational methods to finance. Perfect for bridging the gap between finance and machine learning techniques. An excellent resource for professionals aiming to lead in algorithmic strategies.
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