Computational Methods for Simulating and Analyzing Ecological Systems - Class 2

Explore computational methods for simulating and analyzing ecological systems in this comprehensive lecture from the Serrapilheira/ICTP-SAIFR Training Program in Quantitative Ecology. Delve into essential Python programming concepts, including conditional statements, loops, variables, and data types. Learn about indentation, spacing, and common coding errors. Discover how to work with NumPy for efficient numerical computations and manipulate strings and vectors. Gain insights into Boolean logic, None values, and integer ranges. Master the implementation of various loop structures, including wire loops and range-based iterations, to enhance your ecological modeling skills.

Introduction
If else
Limits
Testing
Indent
Spacing
indentation
change whole code
empty lines
indentation error
indentation levels
ifleaf
else
Booleans
None
None in Python
Numpy
Loop
Variables
Strings
Vectors
String
Ladder
Integer range
Loops
Wire Loop
Range