Finish loops
Project note:  Default power cost

Types review and expansion:
	Python is flexible with these, but does have them
	A few useful ones:  int, float, string (str)
		- Convert like this:  int("5")
		- Or str(5)
	The input function returns a string, always
	Conversions generate an exception if the conversion can't be done

A couple more types:
	- list
	- tuple
	- function
	- classes

What has to happen in memory?
	We can visualize memory in a linear manner
		- Because addresses are all in a line
	In Python, variables can expand!
		- Generally, this means allocating new memory somewhere else
	Shallow vs. Deep copy:
		- In general, Python will make a deep copy when you need one
		- Modifying a list inside a function...

Scope:
	Global vs. Local
	
Interlude:  What is an exception?
	An error
	Propegates back up from wherever it happened
	You can catch it with try and except
	And look at it:  except Exception as e:
	Exception handling is slow in most programming languages, but can be worth it
	Design pattern:  Input with exception handling and "while" loop

Evaluating strings (What can you do with a string?)
	You an store python code in a string and then run it
	An example:  make_subdue_dataset in GNA
	Incidentally, we can read a file in as a string
		- And that file can be our program...
		- Statements and functions and print
		- system, getoutput
		- side note:  BASH
	This sort of thing is common to interpreted languages
		- Not compiled languages.  Although, any language can run a program

Evaluating a string with BASH
	getoutput() and system()

You can figure out the type of a variable!
	- type function
	- This can be used in a function, etc

sys.getsizeof:
	How many bytes for an integer?
	Integers are objects in Python
	That's part of why it runs slow

Garbage collection
	Java did this too