answers_intro_to_python_and

Creating Variables: - A variable can be set to any data type - You can name a variable anything - Except… it cannot start with a number, or contain periods

# 1) Create a variable with a value of 2, and another one with a value of 3
x = 2
y = 3

Basic Math Functions: - Addition: x + y - Subtraction: x - y - Multiplication: x * y - Division: x/y - Exponential: x ** y

# Add, multiply and divide your variables!
x + y

x * y

x / y

0.6666666666666666

Data Types - Integers (‘int’): Whole numbers - Floats (‘float’): Decimals - Strings (‘str’): Sequences of characters surrounded by quotations - Booleans (‘bool’): True/False - Lists (‘list’): Collections of items surrounded by brackets - Dictionaries (‘dict’): Collections of items assigned to labels

# DO NOT REMOVE #

num1 = 5
num2 = 5.0
num3 = "5"

my_dict = {
    'colors': ['red', 'blue', 'green'],
    'numbers': [1,2,3],
    'favorite food': 'pizza'
    }

my_list = ["hey", 35]

# DO NOT REMOVE #

# Find the types of each: num1, num2, num3, my_dict and my_list (hint: type())

type(num1), type(num2), type(num3)

int

# Create a list of numbers from 5-10 and a dictionary with your favorite
# foods and favorite drinks

my_list2 = [5, 6, 7, 8, 9, 10]

my_dictionary2 = {
    "favorite foods": ["pizza", "pasta"],
    "favorite drinks": ["costco oat milk", "costco soy milk"]
}

my_list2[0], my_dictionary2["favorite foods"]

(5, ['pizza', 'pasta'])

Indexing: retrieving an element from a collection (such as a list of dictionary) - Remember it starts at 0!

# Retrieve the first element of my_list, and the color green from my_dict

my_list[1], my_dict["colors"][2]

(35, 'green')

Importing Data: - Data usually comes in the form of CSV’s (comma seperated values) - We usually look at structured data which is a big table - We can index it like a dictionary!

# Import data here, and show the "head"

from google.colab import drive
drive.mount('/content/drive')

import pandas as pd
pd.read_csv("/content/drive/MyDrive/Chocolate Sales.csv")

	Name	Author	User Rating	Reviews	Price	Year	Genre
0	Act Like a Lady, Think Like a Man: What Men Re...	Steve Harvey	4.6	5013	17	2009	Non Fiction
1	Arguing with Idiots: How to Stop Small Minds a...	Glenn Beck	4.6	798	5	2009	Non Fiction
2	Breaking Dawn (The Twilight Saga, Book 4)	Stephenie Meyer	4.6	9769	13	2009	Fiction
3	Crazy Love: Overwhelmed by a Relentless God	Francis Chan	4.7	1542	14	2009	Non Fiction
4	Dead And Gone: A Sookie Stackhouse Novel (Sook...	Charlaine Harris	4.6	1541	4	2009	Fiction