DC Introduction to Python - Python Lists

#	DC Introduction to Python
	DC Introduction to Python - Python Basics
	DC Introduction to Python - Python Lists
	DC Introduction to Python - Functions and Packages
	DC Introduction to Python - NumPy

1 Create a list

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=2

# area variables (in square meters)
hall = 11.25
kit = 18.0
liv = 20.0
bed = 10.75
bath = 9.50

# Create list areas
areas = [hall, kit, liv, bed, bath]

# Print areas
print(areas)

2 Create list with different types

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=3

# area variables (in square meters)
hall = 11.25
kit = 18.0
liv = 20.0
bed = 10.75
bath = 9.50

# Adapt list areas
areas = ["hallway", hall, "kitchen", kit, "living room", liv, "bedroom", bed, "bathroom", bath]

# Print areas
print(areas)

3 List of lists

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=5

# area variables (in square meters)
hall = 11.25
kit = 18.0
liv = 20.0
bed = 10.75
bath = 9.50

# house information as list of lists
house = [["hallway", hall],
         ["kitchen", kit],
         ["living room", liv],
         ["bedroom", bed],
         ["bathroom", bath]]

# Print out house
print(house)

# Print out the type of house
print(type(house))

4 Subset and conquer

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=7

# Create the areas list
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]

# Print out second element from areas
print(areas[1])

# Print out last element from areas
print(areas[9])

# Print out the area of the living room
print(areas[5])

5 Subset and calculate

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=8

# Create the areas list
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]

# Sum of kitchen and bedroom area: eat_sleep_area
eat_sleep_area = areas[3] + areas[7]

# Print the variable eat_sleep_area
print(eat_sleep_area)

6 Slicing and dicing

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=9

# Create the areas list
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]

# Use slicing to create downstairs
downstairs = areas[0:6]

# Use slicing to create upstairs
upstairs = areas[6:10]

# Print out downstairs and upstairs
print(downstairs)
print(upstairs)

7 Slicing and dicing (2)

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=10

# Create the areas list
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]

# Alternative slicing to create downstairs
downstairs = areas[:6]

# Alternative slicing to create upstairs
upstairs = areas[6:]

8 Replace list elements

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=13

# Create the areas list
areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]

# Correct the bathroom area
areas[9] = 10.50

# Change "living room" to "chill zone"
areas[4] = "chill zone"

9 Extend a list

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=14

# Create the areas list and make some changes
areas = ["hallway", 11.25, "kitchen", 18.0, "chill zone", 20.0,
         "bedroom", 10.75, "bathroom", 10.50]

# Add poolhouse data to areas, new list is areas_1
areas_1 = areas + ["poolhouse", 24.5]

# Add garage data to areas_1, new list is areas_2
areas_2 = areas_1 + ["garage", 15.45]

10 Delete list elements

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=15

areas = ["hallway", 11.25, "kitchen", 18.0,
        "chill zone", 20.0, "bedroom", 10.75,
         "bathroom", 10.50, "poolhouse", 24.5,
         "garage", 15.45]
del(areas[-4:-2])

11 Inner workings of lists

• https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=16

# Create list areas
areas = [11.25, 18.0, 20.0, 10.75, 9.50]

# Create areas_copy
areas_copy = list(areas)

# Change areas_copy
areas_copy[0] = 5.0

# Print areas
print(areas)