APPLICATION OF PYTHON IN FINANCE
Bridge the gap between finance and programming with Python.
This comprehensive guide is your all-in-one resource to master Python and apply it directly to real-world financial problems — from data analysis to quantitative modeling and algorithmic trading.
Application of Python in Finance is structured into six intuitive parts, walking you from foundational Python concepts to advanced financial modeling, with every chapter filled with practical examples, code walkthroughs, and project-based learning.
💼 What’s Inside:
📌 Part 1: Foundations
Learn why Python dominates the finance world and set up your environment with ease. Refine your Python basics and explore powerful libraries like NumPy, Pandas, Matplotlib, and yfinance.
📊 Part 2: Financial Data Analysis
Dive deep into financial data sourcing, cleaning, and exploratory analysis. Learn to visualize market trends and extract meaningful insights using tools like Seaborn and pandas-datareader.
📈 Part 3: Financial Mathematics with Python
Master the principles of financial math — from time value of money and loan amortization to portfolio optimization and the Capital Asset Pricing Model (CAPM), complete with Python implementations.
📉 Part 4: Quantitative Finance
Explore Monte Carlo simulations, stock price modeling, options pricing with the Black-Scholes and Binomial models, and build your own backtested algorithmic trading strategies.
🧮 Part 5: Financial Modeling Projects
Apply your skills to real projects: create a stock screener, build forecasting models with ARIMA, Prophet, and LSTM, and evaluate credit risk using logistic regression.
📚 Part 6: Real-World Case Studies
Analyze mutual fund performance, predict financial crises, and develop a personal finance dashboard using real data and Python code.
Whether you're a student, data analyst, finance professional, or developer, this book offers a step-by-step roadmap to confidently apply Python in the ever-evolving financial landscape.
No fluff. Just clear explanations, real-world projects, and practical skills that matter.