# Chapter6.py

'''
data type Python Core
bit 0/1  bitwise operator
byte (8) 00000000<0> 11111111<256> <128><64><32><16><8><4><2><1> bytes<class> bytearray
ascii char sets A-Z 01000001<A> 01000010<B> 01000011<C> 01101111<o> [a-zA-Z0-9] char data type
01000001<65> int data type 65   int()
list of chars -> string   str()
booleans True/False  bool()

collections type (class) Python Core
collection is a group of INDEPENDENT elements/items<type>
Bob, Joe, Mary, Beth, Joe  12,25,72,41  Bob,Smith,21,True
purpose for which collection class we use -> index,sort,duplicates,CRUD,mutate,positional ids, singular or key:value 

List [] -> index, dups, CRUD/append, mutate, !sort, single/element
Set {} -> single/items, !duplicates, !index, !sort, performance
Tuple () -> single/items, immutable, pass args -> params, CR, dispose
Dictionary { key: value } -> pair/key:value, key!dup, valueDup, keyString, valueType, keyImmutable, valueMutate

dataFrame (class) pandas Module Level 3
series<type> of DEPENDENT values
Bob, Joe, Mary, Beth, Joe  12,25,72,41

1 dim: col "Series" -> value
2 dim: row/col -> value  (x/y plot<bar,pie,line>)
3 dim: p1 row/col -> value (z-> x/y pivotTable or Excel pivot tables/charts)
4 dim: p2->p1 row/col -> value (j,z -> x/y)
5 dim: p3->p2->p1 row/col -> value
6 dim: p4->p3->p2->p1 row/col -> value
7 dim: p5->p4->p3->p2->p1 row/col -> value (super Tuple -> another 6 dim)
(d,d,d,d,d,d,(d,d,d,d,d,d,d))

Base Loops
data -> x
collections []{}(){k:v} -> for x in ys coding Lists and Tuples Level 1, Sets and Dictionaries Level 2

dimesional dataFrames -> nested for loops
1 dim
for label,x in ys:
 value<x>

2 dim
for j in range(len(dataset)):   for varScope in dataset:
 for 1dimx in range(len(j)):       for varScope in parentVar[1]:
   value<1dimx>                       for varScope in parentVar[2][1]:
                                         for varScope in parentVar[3][2][1]:

3 dim
for i in range(len(dataset)):
 for j in range(len(i)):
  for 1dimx in range(len(j)):
    value<1dimx> 
'''

# List
## When creating an instance of a list, it is a best practice to create an EMPTY list in memory first, then assign the elements
contacts = []
## then set the elements<type>
contacts.append("Bob")


# Tuple
## Tuples are always creating a new instance of object in memory. If there is an object in memory with the same name, it"memory manager GC class" disposes of the old object and creates a new one.
ccInfo = (4111111111111111, "12/2025", 521, "Bob Smith", 32765)

print(ccInfo)


# EOF