Mastering Pandas for Finance

• Main Author: Heydt, Michael
• Format: eBook
• Language: English
• Published: Packt Publishing 25.05.2015
• ISBN: 9781783985104; 1783985100

"Mastering Pandas for Finance" takes a deep dive into applying Python and the pandas library to solve real-world financial data analysis problems. With a focus on financial modeling, backtesting trading strategies, and analyzing large datasets, this book equips you with the skills to leverage pandas effectively.What this Book will help me doUtilize pandas DataFrame for efficient financial data handling and manipulation.Develop robust time-series models and perform statistical analysis on financial data.Backtest algorithmic trading strategies including momentum and mean reversion.Price complex financial options and calculate Value at Risk for portfolio management.Optimize portfolio allocation and model financial performance using industry techniques.Author(s)Michael Heydt is an experienced software engineer and data scientist with a strong background in quantitative finance. He specializes in using Python for data analysis and has spent years teaching and writing about technical subjects. His detailed yet approachable writing style makes complex topics accessible to all.Who is it for?"Mastering Pandas for Finance" is perfect for finance professionals seeking to integrate Python into their workflows, data analysts exploring quantitative finance applications, and programmers aiming to specialize in financial analytics. Some baseline Python and pandas knowledge is recommended, but the book is structured to guide you effectively through advanced concepts too.