CBE40455-2020

Index of Python Libraries used in this Repository

cvxpy

• 7.5.6 Maximum Log Return (to be developed)..)

datetime

• 7.1.2 Imports
• 7.2.2 Python Imports and Utility Functions
• 7.2.5.2 Log Returns
• 7.3.1 Historical Data
• 7.5.1 Import libraries
• 7.7.3.1 Download Historical Data
• 7.9.5 Example 3. Stock/Bond Portfolio in Continuous Time

matplotlib

• 2.1.1 Campus infection data
• 2.1.1 Campus infection data
• 2.2.1 Campus infection data
• 2.2.1 Campus infection data
• 2.3.4.4 Parameter values
• 2.3.4.4 Parameter values
• 3.3.9.4 Exercise 4. (optional))
• 3.4.3.5 Visualization with Gantt charts
• 3.5.2.1.4 Gantt charts
• 3.6.3 Poisson Process
• 3.6.3.1 Poisson distribution
• 3.6.4 Simulating a Poisson Process in SimPy
• 3.6.6 Example: Simulation of an Order Processing Queue
• 3.6.7 Batch Processing Example (NEEDS REWORK))
• 3.7.3 Example: An Order Processing Queue
• 3.8 Modeling and Simulation of a Grocery Store Checkout Operation
• 3.9 Refinements of a Grocery Store Checkout Operation
• 3.10.1 Installations and imports
• 7.1.2 Imports
• 7.2.2 Python Imports and Utility Functions
• 7.2.5.2 Log Returns
• 7.3.1 Historical Data
• 7.4.2 Example 1. Value of a fixed cash flow
• 7.4.3.1 Solution
• 7.4.1 Price Model
• 7.5.1 Import libraries
• 7.8.1 Initializations
• 7.9.1 Initializations
• 7.9.3 Example 1. Maximizing Return for a Game with Arbitrary Odds
• 7.9.4 Example 2. Betting Wheel
• 7.9.5 Example 3. Stock/Bond Portfolio in Continuous Time

numpy

• 2.1.1 Campus infection data
• 2.2.1 Campus infection data
• 2.3.4.4 Parameter values
• 2.3.4.4 Parameter values
• 3.3.5.3 Using Pandas pivot tables
• 3.3.8 How many charging stations are required?
• 3.4.3.1 Installation, Import, and Setup section
• 3.5.2.1.1 Installation, Import, and Setup
• 3.6.3.1 Poisson distribution
• 3.6.6 Example: Simulation of an Order Processing Queue
• 3.7.3 Example: An Order Processing Queue
• 3.8 Modeling and Simulation of a Grocery Store Checkout Operation
• 3.9 Refinements of a Grocery Store Checkout Operation
• 3.10.1 Installations and imports
• 7.1.2 Imports
• 7.2.2 Python Imports and Utility Functions
• 7.2.5.2 Log Returns
• 7.3.1 Historical Data
• 7.4.2 Example 1. Value of a fixed cash flow
• 7.4.3.1 Solution
• 7.4.1 Price Model
• 7.5.1 Import libraries
• 7.8.1 Initializations
• 7.8.3.3 Maximizing Growth
• 7.9.1 Initializations
• 7.9.3 Example 1. Maximizing Return for a Game with Arbitrary Odds
• 7.9.4 Example 2. Betting Wheel
• 7.9.5 Example 3. Stock/Bond Portfolio in Continuous Time

pandas

• 2.1.1 Campus infection data
• 2.2.1 Campus infection data
• 3.3.2 Example: A room full of Roombas
• 3.3.3 One Roomba
• 3.3.4 Adding a full complement of Roombas
• 3.3.7 Charging stations as shared resources
• 3.3.8 How many charging stations are required?
• 3.4.3.1 Installation, Import, and Setup section
• 3.5.2.1.1 Installation, Import, and Setup
• 3.6.6 Example: Simulation of an Order Processing Queue
• 3.7.3 Example: An Order Processing Queue
• 3.8 Modeling and Simulation of a Grocery Store Checkout Operation
• 3.9 Refinements of a Grocery Store Checkout Operation
• 3.10.1 Installations and imports
• 3.10.6 Creating Smart Objects
• 7.1.2 Imports
• 7.2.2 Python Imports and Utility Functions
• 7.2.5.2 Log Returns
• 7.3.1 Historical Data
• 7.5.1 Import libraries
• 7.7.3.1 Download Historical Data
• 7.7.3.1 Download Historical Data
• 7.9.5 Example 3. Stock/Bond Portfolio in Continuous Time

pandas_datareader

• 7.1.2 Imports
• 7.2.2 Python Imports and Utility Functions
• 7.5.1 Import libraries

pulp

• 7.7.4 MAD Porfolio

quandl

• 7.1.3.3 Quandl

random

• 3.4.6 Stochastic Model
• 3.4.7 Monte Carlo Simulation
• 3.5.2.2.1 Model
• 3.5.2.3.1 Modell
• 3.6.4 Simulating a Poisson Process in SimPy
• 3.6.6 Example: Simulation of an Order Processing Queue
• 3.6.7 Batch Processing Example (NEEDS REWORK))
• 3.7.3 Example: An Order Processing Queue
• 3.8 Modeling and Simulation of a Grocery Store Checkout Operation
• 3.9 Refinements of a Grocery Store Checkout Operation
• 3.10.1 Installations and imports
• 7.5.1 Import libraries
• 7.8.1 Initializations
• 7.9.1 Initializations

requests

• 7.1.3.1 Stock Symbols
• 7.2.2 Python Imports and Utility Functions
• 7.2.5.2 Log Returns
• 7.3.1 Historical Data
• 7.9.5 Example 3. Stock/Bond Portfolio in Continuous Time

seaborn

• 2.3.4.4 Parameter values
• 2.3.4.4 Parameter values
• 7.1.2 Imports
• 7.1.4.4 Volatility Drag and the Relationship between Linear and Log Returns

simpy

• 3.2.1.1 The simplest Simpy model
• 3.2.1.2 Adding a process
• 3.2.1.3 Accessing time
• 3.2.1.4 Creating multiple instances of a generator
• 3.2.1.5 Running a simulation for a known period of time
• 3.2.1.6 Logging data
• 3.2.2.1 Model development
• 3.3.3 One Roomba
• 3.3.4 Adding a full complement of Roombas
• 3.3.7 Charging stations as shared resources
• 3.3.8 How many charging stations are required?
• 3.4.3.1 Installation, Import, and Setup section
• 3.5.2.1.1 Installation, Import, and Setup
• 3.6.4 Simulating a Poisson Process in SimPy
• 3.6.6 Example: Simulation of an Order Processing Queue
• 3.6.7 Batch Processing Example (NEEDS REWORK))
• 3.7.3 Example: An Order Processing Queue
• 3.8 Modeling and Simulation of a Grocery Store Checkout Operation
• 3.9 Refinements of a Grocery Store Checkout Operation
• 3.10.1 Installations and imports
• 3.10.3.1 Step 0. A simple model
• 3.10.3.2 Step 1. Embed the generator inside of a class
• 3.10.3.3 Step 2. Eliminate (if possible) global variables-global-variables)
• 3.10.3.4 Step 3. Encapsulate initializations inside post_init

sys

• 3.10.1 Installations and imports