Python is a free and powerful tool which can be used to build a financial calculator and price options, and can also explain many trading strategies and test various hypotheses. In addition to that, real-world data can be used to run CAPM (Capital Asset Pricing Model), the Fama-French 3-factor model, estimate VaR (Value at Risk), and estimate spread, illiquidity, and liquidity. This book explores the basics of programming in Python. It is a step-by-step tutorial that will teach you, with the help of concise, practical programs, how to run various statistic tests. With this book, you will learn how to implement financial concepts using python libraries like NumPy, SciPy and Matplotlib. This book introduces you to the basic concepts and operations related to Python. After that, we move on to how you can use Python to build a financial calculator. After going through several key modules (packages), you will learn how to run various statistics tests such as T-tests, F-tests, and normality tests. The book will then cover how to run CAPM (Capital Asset Pricing Model) and the Fama-French 3-factor model, as well as how to form various portfolios and estimate individual stock and portfolios' VaR (Value at Risk). You will learn about various financial concepts using python libraries like NumPy, SciPy and Matplotlib, and trading strategies through illustrations and graphs. You will also learn how to retrieve the historical trading data of stock, option data, and other data from public data sources. You will then discover how you can process the data sources that you obtain to estimate returns and convert daily returns into monthly or annual returns, as well as how to estimate a portfolio's variance-covariance matrix. A hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.