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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

Initializing the variable

From the previous example, we know that after we assign a value to x, we can use x, which means that x is now defined in the sense of other computer languages such as FORTRAN and C/C++. The opposite is also true, that we could not use X if it is not assigned a value in Python. In other words, when we assign a value to X, we have to define it first. Compared to languages such as C++ or FORTRAN, we don't have to define x as an integer before we assign 10 to it.

Another advantage is that we could change the data type of a variable easily. For the FOTRAN language, if we have defined x as an integer, we cannot assign a string to it. Since there is only assignment in Python, we could assign any value to a variable. For example, we could assign 10 to x. It is legal to assign a string, such as Hello World, to x in the next minute. However, we should not be confused with the data type conversion, such as converting an integer to a string or vice versa. Conversion between different data types will be discussed in the later chapters.

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