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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

Chapter 6. Introduction to NumPy and SciPy

In this chapter, we will introduce the two most important modules, called NumPy and SciPy, which are used intensively for scientific and financial computation based on Python. In this book, many chapters and modules depend on these two modules.

In particular, we will cover the following topics:

  • Installation of NumPy and SciPy
  • Launching Python from Anaconda
  • Examples of using NumPy and SciPy
  • Showing all functions in NumPy and SciPy
  • Getting more information about a specific function
  • Understanding the list data type
  • Array in NumPy, logic relationship related to arrays
  • Working with arrays of ones, zeros, and identity matrix
  • Performing array operations: +, -, *, and /
  • The x.sum() dot function
  • Looping through an array
  • A list of subpackages for SciPy
  • Cumulative standard normal distribution
  • Generating random numbers
  • Statistic submodule (stats) from SciPy
  • Interpolation, linear equations, and optimization
  • Linear regression and Capital Assets Pricing Model (CAPM)
  • Retrieving...
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