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Diff for: 1_Python Basic_1_The Python Interface.py

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+# Example, do not modify!
+print(5 / 8)
+print(7+10)
+# Put code below here

Diff for: 1_Python Basic_2_Any comments.py

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+# Just testing division
+print(5 / 8)
+
+# Addition works too
+print(7 + 10)

Diff for: 1_Python Basic_3_Python as a calculator.py

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+# Addition and subtraction
+print(5 + 5)
+print(5 - 5)
+
+# Multiplication and division
+print(3 * 5)
+print(10 / 2)
+
+# Exponentiation
+print(4 ** 2)
+
+# Modulo
+print(18 % 7)
+
+# How much is your $100 worth after 7 years?
+print(100*(1.1**7))

Diff for: 1_Python Basic_4_Variable Assignment.py

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+# Create a variable savings
+savings = 100
+
+# Print out savings
+print(savings)

Diff for: 1_Python Basic_5_Calculations with variables.py

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+# Create a variable savings
+savings = 100
+
+# Create a variable factor
+factor=1.10
+
+# Calculate result
+result=savings * factor ** 7
+
+# Print out result
+print(result)

Diff for: 1_Python Basic_6_Other variable types.py

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+# Create a variable desc
+desc="compound interest"
+
+# Create a variable profitable
+profitable = True

Diff for: 1_Python Basic_7_Operations with other types.py

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+# Several variables to experiment with
+savings = 100
+factor = 1.1
+desc = "compound interest"
+
+# Assign product of factor and savings to year1
+year1=savings*factor
+
+# Print the type of year1
+print(type(year1))
+
+# Assign sum of desc and desc to doubledesc
+doubledesc=desc+desc
+
+# Print out doubledesc
+print(doubledesc)

Diff for: 1_Python Basic_8_Type conversion.py

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+# Definition of savings and result
+savings = 100
+result = 100 * 1.10 ** 7
+
+# Fix the printout
+print("I started with $" + str(savings) + " and now have $" + str(result) + ". Awesome!")
+
+# Definition of pi_string
+pi_string = "3.1415926"
+
+# Convert pi_string into float: pi_float
+pi_float=float(pi_string)

Diff for: 2_Python List_10_Inner workings of lists.py

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+# Create list areas
+areas = [11.25, 18.0, 20.0, 10.75, 9.50]
+
+# Create areas_copy
+areas_copy = [11.25, 18.0, 20.0, 10.75, 9.50]
+
+# Change areas_copy
+areas_copy[0] = 5.0
+
+# Print areas
+print(areas)

Diff for: 2_Python List_1_Create a list.py

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+# area variables (in square meters)
+hall = 11.25
+kit = 18.0
+liv = 20.0
+bed = 10.75
+bath = 9.50
+
+# Create list areas
+areas=[11.25,18.0,20.0,10.75,9.50]
+
+# Print areas
+print(areas)

Diff for: 2_Python List_2_Create list with different types.py

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+# 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)

Diff for: 2_Python List_3_List of lists.py

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+# 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))

Diff for: 2_Python List_4_Subset and conquer.py

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+# 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[-1])
+
+# Print out the area of the living room
+print(areas[5])

Diff for: 2_Python List_5_Subset and calculate.py

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+# 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[-3]
+
+# Print the variable eat_sleep_area
+print(eat_sleep_area)

Diff for: 2_Python List_6_Slicing and dicing.py

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+# 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[:6]
+
+# Use slicing to create upstairs
+upstairs=areas[6:]
+
+# Print out downstairs and upstairs
+print(downstairs)
+print(upstairs)

Diff for: 2_Python List_7_Slicing and dicing (2).py

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+# 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:]

Diff for: 2_Python List_8_Replace list elements.py

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+# 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"

Diff for: 2_Python List_9_Extend a list.py

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+# 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]

Diff for: 3_Functions-and-packages_1_Familiar functions.py

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+# Create variables var1 and var2
+var1 = [1, 2, 3, 4]
+var2 = True
+
+# Print out type of var1
+print(type(var1))
+
+# Print out length of var1
+print(len(var1))
+
+# Convert var2 to an integer: out2
+out2=int(var2)

Diff for: 3_Functions-and-packages_2_Multiple arguments.py

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+# Create lists first and second
+first = [11.25, 18.0, 20.0]
+second = [10.75, 9.50]
+
+# Paste together first and second: full
+full = first+second
+
+# Sort full in descending order: full_sorted
+full_sorted = sorted(full,reverse=True)
+
+# Print out full_sorted
+print(full_sorted)

Diff for: 3_Functions-and-packages_3_String Methods.py

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+# string to experiment with: room
+room = "poolhouse"
+
+# Use upper() on room: room_up
+room_up=room.upper()
+
+# Print out room and room_up
+print(room)
+print(room_up)
+# Print out the number of o's in room
+print(room.count('o'))	

Diff for: 3_Functions-and-packages_4_List Methods.py

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+# Create list areas
+areas = [11.25, 18.0, 20.0, 10.75, 9.50]
+
+# Print out the index of the element 20.0
+print(areas.index(20.0))
+
+# Print out how often 14.5 appears in areas
+print(areas.count(14.5))

Diff for: 3_Functions-and-packages_5_List Methods (2).py

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+# Create list areas
+areas = [11.25, 18.0, 20.0, 10.75, 9.50]
+
+# Use append twice to add poolhouse and garage size
+areas.append(24.5)
+areas.append(15.45)
+
+# Print out areas
+print(areas)
+
+# Reverse the orders of the elements in areas
+areas.reverse()
+
+# Print out areas
+print(areas)

Diff for: 3_Functions-and-packages_6_Import package.py

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+# Definition of radius
+r = 0.43
+# Import the math package
+import math
+
+# Calculate C
+C = 2*math.pi*r
+
+# Calculate A
+A = math.pi*r*r
+
+# Build printout
+print("Circumference: " + str(C))
+print("Area: " + str(A))

Diff for: 3_Functions-and-packages_7_Selective import.py

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+# Definition of radius
+r = 192500
+
+# Import radians function of math package
+from math import radians
+
+# Travel distance of Moon over 12 degrees. Store in dist.
+phi=radians(12)
+dist=r*phi
+
+# Print out dist
+print(dist)

Diff for: 4_NumPy_10_Average versus median.py

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+# np_baseball is available
+
+# Import numpy
+import numpy as np
+
+# Create np_height from np_baseball
+np_height=np_baseball[:,0]
+
+# Print out the mean of np_height
+print(np.mean(np_height))
+
+# Print out the median of np_height
+print(np.median(np_height))

Diff for: 4_NumPy_11_Explore the baseball data.py

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+# np_baseball is available
+
+# Import numpy
+import numpy as np
+
+# Print mean height (first column)
+avg = np.mean(np_baseball[:,0])
+print("Average: " + str(avg))
+
+# Print median height. Replace 'None'
+med = np.median(np_baseball[:,0])
+print("Median: " + str(med))
+
+# Print out the standard deviation on height. Replace 'None'
+stddev = np.std(np_baseball[:,0])
+print("Standard Deviation: " + str(stddev))
+
+# Print out correlation between first and second column. Replace 'None'
+corr = np.corrcoef(np_baseball[:,0], np_baseball[:,1])
+print("Correlation: " + str(corr))

Diff for: 4_NumPy_12_Blend it all together.py

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+# heights and positions are available as lists
+
+# Import numpy
+import numpy as np
+
+# Convert positions and heights to numpy arrays: np_positions, np_heights
+np_positions=np.array(positions)
+np_heights=np.array(heights)
+
+
+# Heights of the goalkeepers: gk_heights
+gk_heights = np_heights[np_positions=='GK']
+
+# Heights of the other players: other_heights
+np_positions !='GK'
+other_heights=np_heights[np_positions !='GK']
+
+# Print out the median height of goalkeepers. Replace 'None'
+print("Median height of goalkeepers: " + str(np.median(gk_heights)))
+
+# Print out the median height of other players. Replace 'None'
+print("Median height of other players: " + str(np.median(other_heights)))

Diff for: 4_NumPy_1_First NumPy Array.py

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+# Create list baseball
+baseball = [180, 215, 210, 210, 188, 176, 209, 200]
+
+# Import the numpy package as np
+import numpy as np
+
+# Create a numpy array from baseball: np_baseball
+np_baseball=np.array(baseball)
+
+# Print out type of np_baseball
+print(type(np_baseball))