Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python for Finance

You're reading from   Python for Finance If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

Arrow left icon
Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Length 408 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction and Installation of Python FREE CHAPTER 2. Using Python as an Ordinary Calculator 3. Using Python as a Financial Calculator 4. 13 Lines of Python to Price a Call Option 5. Introduction to Modules 6. Introduction to NumPy and SciPy 7. Visual Finance via Matplotlib 8. Statistical Analysis of Time Series 9. The Black-Scholes-Merton Option Model 10. Python Loops and Implied Volatility 11. Monte Carlo Simulation and Options 12. Volatility Measures and GARCH Index

Finding the help window

After we launch Python, typing help() would initiate the help window (as shown in the following lines of code). The prompt of the help window is help>. To quit the help window, we simply press the Enter key once or type quit. After we quit the help window, the Python prompt of >>> would reappear. Now, we launch the help window as shown in the following lines of code:

>>>help()
Welcome to Python 3.3!  This is the interactive help utility.
If this is your first time using Python, you should definitely check out the tutorial on the Internet at http://docs.python.org/3.3/tutorial/.
Enter the name of any module, keyword, or topic to get help on writing Python programs and using Python modules.  To quit this help utility and return to the interpreter, just type "quit".
To get a list of available modules, keywords, or topics, type "modules", "keywords", or "topics".  Each module also comes with a one-line summary of what it does; to list the modules whose summaries contain a given word such as "spam", type "modules spam".
help>

After typing keywords, we will have the following information:

>>>help> keywords
Here is a list of the Python keywords.  Enter any keyword to get more help.
False       def         if               raise
None        del         import           return
True        elif        in               try
and         else        is               while
as          except     lambda            with
assert      finally    nonlocal          yield
break       for        not                 
class       from        or                  
continue    global      pass                

help>

On the other hand, after typing topics, we will see what is shown in the following screenshot:

Finding the help window

At the moment, a new user doesn't need to understand those topics. Just remember that we have a command to show us all the topics we could use.

You have been reading a chapter from
Python for Finance
Published in: Apr 2014
Publisher:
ISBN-13: 9781783284375
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime