# Chapter6 Folder
# myCollections.py

'''
Dimensional Data > pandas Module Array of Data 
# Java Array[List]  List<Array>
1 Dim (col)<value>  Series y 
2 Dim (row, col)<value> DataFrame x,y
3 Dim pivot1 (row,col)<value> z > x,y
4 Dim p2,p1 (row,col)<value> a > z > x,y
5 Dim p3,p2,p1 (row,col)<value> b> a > z > x,y
6 Dim
7 Dim Super Tuple (1,2,3,4,5,6,AnotherTuple(1,2,3,4,5,6,7))

Collection Class: value for x in ys

1. indexed ?
2. change ? R or R/W do I need to mutate the object?
3. duplicates ?
4. sort ?
5. singular value in nature or map? key:value

List [brackets] sep[,]
example  firstNames = ['Bob','Joe','Mary']
indexed index range 0-2
sortable  length (3)
duplicates OK ['Bob','Joe','Mary']
change? Yes append()  ['Bob','Joe','Mary'] > append 'Bob'
['Bob','Joe','Mary','Bob'] >  update(el[0]'Robert')
['Robert','Joe'[1],'Mary','Bob'] >  pop("delete"[1]) 4 els to 3 els
['Robert','Mary','Bob']

Tuple (round brackets) (,)
example  firstNames = ('Bob','Joe','Mary')
IMMUTABLE > CAN NOT CHANGE NO APPEND,UPDATE,POP
Not sortable > positional by nature arg1,arg2,arg3
duplicates OK

Set {braces} {,} 
example  firstNames = {'Bob','Joe','Mary'}
No duplicates (No indexing, No sorting)

'Bob','Joe','Mary','Bob' > {}
{'Joe','Bob','Mary'} stdout
{'Bob','Mary','Joe'} stdout
9 variations BUT no duplicates

Dictionary {braces} {'keyName': value, 'keyName2':value}
'''