When we write a complex program, the flow of logic is very important. At the same time, some good comments or explanations will help other programmers, other users, and even ourselves greatly. For a program that is not well documented, its author might have a hard time understanding it a few months later. We could add comments in many places. For example, at the beginning of the program, we could write the name of the program, objective, input variables, output variables, author or authors of the program, version of the program, and contact information. Some comments could be long, while others could be just a phrase. To satisfy various needs, Python has different types of methods to add comments. When the underlying software compiles the program, those comments could be ignored automatically.
Python for Finance
By :
Python for Finance
By:
Overview of this book
Table of Contents (20 chapters)
Python for Finance
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Introduction and Installation of Python
Using Python as an Ordinary Calculator
Using Python as a Financial Calculator
13 Lines of Python to Price a Call Option
Introduction to Modules
Introduction to NumPy and SciPy
Visual Finance via Matplotlib
Statistical Analysis of Time Series
The Black-Scholes-Merton Option Model
Python Loops and Implied Volatility
Monte Carlo Simulation and Options
Volatility Measures and GARCH
Index
Customer Reviews