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
NumPyandSciPy - Launching Python from
Anaconda - Examples of using
NumPyandSciPy - Showing all functions in
NumPyandSciPy - Getting more information about a specific function
- Understanding the
listdata 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) fromSciPy - Interpolation, linear equations, and optimization
- Linear regression and Capital Assets Pricing Model (CAPM)
- Retrieving...
