Python's Intuitive Syntax & Beginner-friendly Nature Makes It An Ideal Programming Language For Financial Professionals. It Acts As A Bridge Between The World Of Finance & Data Analysis. This Book Will Introduce Essential Concepts In Financial Analysis Methods & Models, Covering Time-series Analysis, Graphical Analysis, Technical & Fundamental Analysis, Asset Pricing & Portfolio Theory, Investment & Trade Strategies, Risk Assessment & Prediction, & Financial Ml Practices. The Python Programming Language & Its Ecosystem Libraries, Such As Pandas, Numpy, Scipy, Statsmodels, Matplotlib, Seaborn, Scikit-learn, Prophet, & Other Data Science Tools Will Demonstrate These Rooted Financial Concepts In Practice Examples. This Book Will Help You Understand The Concepts Of Financial Market Dynamics, Estimate The Metrics Of Financial Asset Profitability, Predict Trends, Evaluate Strategies, Optimize Portfolios, & Manage Financial Risks. You Will Also Learn Data Analysis Techniques Using Python Programming Language To Understand The Basics Of Data Preparation, Visualization, & Manipulation In The World Of Financial Data-- Provided By Publisher.