A module is a package that is written by experts, users, or even a new beginner who is very good in a specific area to serve a specific objective. For example, a Python module is called quant, which is for quantitative financial analysis. The quant combines SciPy
and DomainModel
. The module contains a domain model that has exchanges, symbols, markets, and historical price, among other things. Modules are very important in Python. In this book, we will mention about a dozen modules implicitly or explicitly. In particular, we will discuss five modules in detail: NumPy
and SciPy
in Chapter 6, Introduction to NumPy and SciPy; Matplotlib
in Chapter 7, Visual Finance via Matplotlib; and Pandas
and Statsmodels
in Chapter 8, Statistic Analysis of Time Series. As of November 6, 2013, there are 24,955 Python packages with different areas available according to the Python Package Index at https://pypi.python.org/pypi?%3Aaction=browse. For the financial and insurance industry, there...
Python for Finance
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Python for Finance
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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