webinar-python-exam-review-2021-03-19

# Exam Review 2022 Mar 19

# LABS
# Ch 3-13
# Ch 14-18 not as important, other than some good labs in Ch 15
# Ch 19-30 just LABS, but important practice!
# Use Submit Mode!!!

# Comp 1: Basic syntax and knowledge: operators, data types, etc
# Comp 2: Control Flow Structures
# Basic: if statements, loops, functions
# Adv: try/except and raising errors, classes
# Comp 3: modules, working with files

# Comp 1 Basic syntax and knowledge: operators, data types, etc
# Data Types
# int
# str # input()
# float
# list
# dict
# tuple # immutable... function returning 1, 2, 3 # that's a tuple
# set # all unique values, unordered
# bool

# Operators
# +
# -
# *
# /
# % # modulo.. WHOLE NUMBER remainder... "how many things didn't fit?"
# # even x % 2 == 0
# # odd x % 2 == 1
# //
# ** # raise to a power... math.pow()
# <
# >
# <=
# >=
# = # assignment
# == # asking if equal? comparison for a condition
# !=
# +=
# -=
# # operator-like KEYWORDS
# and
# or
# in
# not
myTuple = ("Gilligan", "Castaway002", "red", "crew") # things about Gilligan
# if "Gilligan" in myTuple:
print("Gilligan" in myTuple) # print(3 + 5)
# print(not "Gilligan" in myTuple)

# Comp 2 Control Flow Structures
# Basic
# IF statements... if, if/else, if/elif, if/elif/else
# LOOPS...
# WHILE - basically an IF that repeats
# FOR - loop over a container, or a specific number of times
# for __ in __:
# for item in myList:
# for i in range(len(myList)): # if interested in index as well as value, myList[i]

# FUNCTIONS
# defining/writing vs calling
# parameters vs "regular" variables
# def checkDuplicates(someList):
    # someList = # no! don't do this... the CALLS provide values
# parameter vs argument
# methods are functions that "belong" to a type

# a good function has ONE JOB, modular
# return or not (prints)

# BUILT-IN FUNCTIONS
# print()
# input()
# help()
# dir()
# len()
# min()
# max()
# sum()
# sorted()
# reversed()
# open()
# range() # creates a container for a series of numbers
# round() # see also... math.floor() and math.ceil()
# # constructor / recasting functions
# int()
# float()
# str()
# dict()
# tuple()
# set()
# # 2 sometimes useful functions
# type()
# isinstance(var, type)
# print(type(3)) # <class 'int'>
# print(isinstance(3, int)) # True
# print(isinstance(3, str)) # False

# STRINGS
# myString = "Just sit right back and you'll hear a tale."
# # SLICING strings and lists
# # myString[start:stop], myString[start:stop:step]
# # slice to reverse
# print(myString[::-1])
#
# # STRING METHODS
# myString.format() # or f strings, see Ch8.2 for special formatting instr
# myString.rstrip()
# myString.split() # returns a list
# " ".join(myListOfStrings)
# myString.replace(oldSubStr, newSubStr)# to remove.. myString.replace("abc", "")
# myString.count(subStr) # return int
# case methods: myString.upper(), myString.lower()
# Boolean/is methods: myString.isupper(), myString.isdigit()

# LIST METHODS
# myList.append(item)
# myList.insert(index, item)
# myList.extend(anotherList) # myList + anotherList
# myList.pop() # last or any index by arg
# myList.remove() # by value
# myList.sort() # compare to sorted()
# myList.reverse() # compare to reversed()
# myList.count(item) # return int
# myList.clear()
# myList.index(item) # a value can repeat
#
# # DICTIONARY
# myDictionary[key] # retrieves value for that key, print(myDictionary[key])
# myDictionary[key] = value # assign a value for the key
# for _key_ in someDictionary:
# if __ in myDictionary:  # it's checking the keys
# myDictionary.keys() # returns a set-like container of keys
# myDictionary.values() # returns a list-like container of values
# mydictionary.update({k:v}) # I would "update" like I did in line 135 above

# MATH MODULE
import math
# math.sqrt()
# math.pow() # raise to a power, like **
# math.ceil()
# math.floor()
# math.factorial()
# math.pi
# math.e

# partial import
# from math import factorial, from math import *
# factorial() or ceil()... not math.factorial() or math.ceil()

# # aliased import
# import math as m
# m.floor(), m.e

# # OPENING FILES
# good practice: Ch 12 Task 4, 7, 8
# I'll include these webinars in our follow up

# with open("filename.txt", "r") as f:
#     f.read() # returns the whole file as one big string
#     f.readlines() # returns a list of line by line strings

import csv
with open("mock_data.csv", "r") as f:
    myReader = list(csv.reader(f)) # csv.reader() is a list-like object... a list of lists here
print(myReader) # I've recast the csvreader object as a plain old list
for line in myReader:
    # print(line[-1])
    print("{} is at {}".format(line[3], line[4])) # then we can get at positions within the line