January 2020
Beginner to intermediate
432 pages
11h 24m
English
Overview
"Python for Finance Cookbook" equips you with techniques to work on financial data analysis using Python. The book focuses on leveraging modern Python libraries like pandas, NumPy, and SciPy to process, analyze, and model financial data with practical examples tailored for real-world applications.
What this Book will help me do
- Gain expertise in downloading and preprocessing financial data for model implementation.
- Learn to backtest and evaluate trading strategies with Python tools.
- Master statistical and econometric modeling techniques such as CAPM and GARCH.
- Perform risk assessments and pricing simulations using Monte Carlo approaches.
- Leverage advanced machine learning and deep learning methodologies to solve financial tasks.
Author(s)
Eryk Lewinson is an accomplished data scientist and author with extensive experience in financial data analysis and quantitative finance. He is passionate about making complex financial models approachable for learners, and he brings clear, practical instruction to his books. His expertise lies in Python programming and advanced data processing applications for finance.
Who is it for?
This book caters to financial analysts, data professionals, and Python developers aiming to enhance their application of Python in financial modeling and quantitative analysis. If you're keen to delve into advanced techniques like econometrics, machine learning, or risk assessment with Python, this book is tailored for you.