Python For Performance Measurement Professionals
This robust course will dig into the basics of Python and explore how it can be used by performance professionals
With over eight hours of training from the World's leading performance measurement experts, this practical, comprehensive program covers the basics of Python.
Introduction to Python
Environment Setup: Python, Anaconda, Commands
Math & String Operators
Variables, Conditionals & Loops
Manipulating the Data Structures
Exception Handling
Data Abstraction Using Series and Data Frames
Why Visualization?
Labeling and Arranging Figures
Outputting Graphics
Introduction
TSG Python Training Slides
Python For Performance Measurement - Module 1
https://www.python.org/
Python For Performance Measurement - Module 2
Python For Performance Measurement - Module 3
Python For Performance Measurement - Module 4
Python for Performance Measurement - Module 5
Python for Performance Measurement - Module 6
Python for Performance Measurement - Module 7
Internal Rates of Return Calculation
XIRR Function Code
Modified Dietz Return Calculation
Modified Dietz Return Code
True Time-Weighted Return
True Time-Weighted Return Code
Geometric Linking and Annualization
Geometric Linking and Annualization Code
True Time-Weighted Return Revisited
True Time-Weighted Return Revisited Code
GIPS Composite Return: Asset-Weighting by BMV
GIPS Composite Return: Asset-Weighting by BMV Code
GIPS Composite Return: Asset-Weighting by BMV and Weighted Flows
GIPS Composite Return: Asset-Weighting by BMV and Weighted Flows Code
GIPS Composite Return: Aggregate Method
GIPS Composite Return: Aggregate Method Code
Standard Deviation and Tracking Error
Standard Deviation and Tracking Error Calculations Code
Downside Deviation and Sortino Ratio
Downside Deviation and Sortino Ratio Code
Return Attribution Using Brinson-Fachler
Return Attribution Using Brinson-Fachler Code