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‎1_Python Basic_1_The Python Interface.py

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

‎1_Python Basic_2_Any comments.py

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

‎1_Python Basic_3_Python as a calculator.py

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

‎1_Python Basic_4_Variable Assignment.py

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

‎1_Python Basic_5_Calculations with variables.py

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

‎1_Python Basic_6_Other variable types.py

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

‎1_Python Basic_7_Operations with other types.py

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

‎1_Python Basic_8_Type conversion.py

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

‎2_Python List_10_Inner workings of lists.py

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

‎2_Python List_1_Create a list.py

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

‎2_Python List_2_Create list with different types.py

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# area variables (in square meters)
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hall = 11.25
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kit = 18.0
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liv = 20.0
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bed = 10.75
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bath = 9.50
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# Adapt list areas
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areas = ["hallway",hall,"kitchen", kit, "living room", liv,"bedroom", bed, "bathroom", bath]
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# Print areas
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print(areas)

‎2_Python List_3_List of lists.py

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# area variables (in square meters)
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hall = 11.25
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kit = 18.0
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liv = 20.0
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bed = 10.75
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bath = 9.50
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# house information as list of lists
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house = [["hallway", hall],
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["kitchen", kit],
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["living room", liv],["bedroom",bed],["bathroom",bath]]
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# Print out house
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print(house)
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# Print out the type of house
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print(type(house))

‎2_Python List_4_Subset and conquer.py

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# Create the areas list
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areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
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# Print out second element from areas
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print(areas[1])
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# Print out last element from areas
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print(areas[-1])
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# Print out the area of the living room
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print(areas[5])

‎2_Python List_5_Subset and calculate.py

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# Create the areas list
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areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
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# Sum of kitchen and bedroom area: eat_sleep_area
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eat_sleep_area = areas[3]+areas[-3]
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# Print the variable eat_sleep_area
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print(eat_sleep_area)

‎2_Python List_6_Slicing and dicing.py

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# Create the areas list
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areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
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# Use slicing to create downstairs
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downstairs =areas[:6]
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# Use slicing to create upstairs
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upstairs=areas[6:]
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# Print out downstairs and upstairs
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print(downstairs)
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print(upstairs)

‎2_Python List_7_Slicing and dicing (2).py

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# Create the areas list
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areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
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# Alternative slicing to create downstairs
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downstairs=areas[:6]
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# Alternative slicing to create upstairs
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upstairs=areas[6:]

‎2_Python List_8_Replace list elements.py

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# Create the areas list
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areas = ["hallway", 11.25, "kitchen", 18.0, "living room", 20.0, "bedroom", 10.75, "bathroom", 9.50]
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# Correct the bathroom area
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areas[9] =10.50
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# Change "living room" to "chill zone"
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areas[4]="chill zone"

‎2_Python List_9_Extend a list.py

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# Create the areas list and make some changes
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areas = ["hallway", 11.25, "kitchen", 18.0, "chill zone", 20.0,
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"bedroom", 10.75, "bathroom", 10.50]
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# Add poolhouse data to areas, new list is areas_1
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areas_1 = areas + ["poolhouse", 24.5]
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# Add garage data to areas_1, new list is areas_2
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areas_2 = areas_1 + ["garage",15.45]

‎3_Functions-and-packages_1_Familiar functions.py

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

‎3_Functions-and-packages_2_Multiple arguments.py

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

‎3_Functions-and-packages_3_String Methods.py

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

‎3_Functions-and-packages_4_List Methods.py

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

‎3_Functions-and-packages_5_List Methods (2).py

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

‎3_Functions-and-packages_6_Import package.py

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

‎3_Functions-and-packages_7_Selective import.py

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

‎4_NumPy_10_Average versus median.py

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

‎4_NumPy_11_Explore the baseball data.py

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

‎4_NumPy_12_Blend it all together.py

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

‎4_NumPy_1_First NumPy Array.py

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

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