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Python for Finance

Python for Finance

By : Yuxing Yan
3.9 (22)
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Python for Finance

Python for Finance

3.9 (22)
By: Yuxing Yan

Overview of this book

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.
Table of Contents (14 chapters)
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13
Index

Retrieving data to our programs

To feed data to our programs, we need to understand how to input data. Since the data courses vary, we introduce several ways to input data, such as from clipboard, Yahoo! Finance, an external text or CSV file, a web page, and a MATLAB dataset.

Inputting data from the clipboard

In our everyday lives, we use Notepad, Microsoft Word, or Excel to input data. One of the widely used functionalities is copy and paste. The pd.read_clipboard() function contained in Pandas mimics this operation. For example, we type the following contents on Notepad:

x y
1 2 
3 4 
5 6

Then, highlight these entries, right-click on it, copy and paste in the Python console, and run the following two lines:

>>>import pandas as pd
>>>data=pd.read_clipboard()
>>>data
   X  y
1  2
3  4
5  6

This is true for copying data from Microsoft Word and Excel.

Retrieving historical price data from Yahoo! Finance

The following simple program has just five lines, and we can use...

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