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Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Toc

Table of Contents (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

How to install a Python module

If Python was installed via Anaconda, there is a good chance that many of the modules discussed in this book have been installed together with Python. If Python was installed independently, users could use PyPi to install or update.

For example, we are interested in installing NumPy. On Windows, we have the following code:

python -m pip install -U pip numpy

If Python.exe is on the path, we could open a DOS window first, then issue the preceding line. If Python.exe is not on the path, we open a DOS window, then move to the location of the Python.exe file; for an example, see the following screenshot:

How to install a Python module

For a Mac, we have the following codes. Sometimes, after running the preceding command, you might receive the following message asking for an update of PiP:

How to install a Python module

The command line to update pip is given here:

python –m pip install –upgrade pip

See the result shown in the following screenshot:

How to install a Python module

To install NumPy independently, on Linux or OS X, we issue the following...

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