Last lecture on Pandas
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bigos/lecture20250506/00-14-d1-1d-0c-fa.csv
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bigos/lecture20250506/00-14-d1-1d-0c-fa.csv
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bigos/lecture20250506/PC_inventory/00-14-d1-1d-0c-fa.csv
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bigos/lecture20250506/PC_inventory/00-16-76-b2-b2-71.csv
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bigos/lecture20250506/PC_inventory/00-16-76-c0-3e-a7.csv
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bigos/lecture20250506/PC_inventory/00-16-76-c0-40-23.csv
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bigos/lecture20250506/PC_inventory/00-16-76-c0-40-d3.csv
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bigos/lecture20250506/PC_inventory/00-16-76-c0-46-e7.csv
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bigos/lecture20250506/PC_inventory/00-19-d1-6e-d3-db.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-35-f2-c9.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-ab-54.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-ac-0b.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-ac-41.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-b6-d4.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-c1-a0.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-c2-91.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-c2-95.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-c2-cd.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-c4-66.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-cc-65.csv
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bigos/lecture20250506/PC_inventory/b8-ac-6f-36-d9-f2.csv
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bigos/lecture20250506/data.csv
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Duration,Pulse,Maxpulse,Calories
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60,110,130,409.1
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60,117,145,479.0
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60,103,135,340.0
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45,109,175,282.4
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45,117,148,406.0
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60,102,127,300.5
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60,110,136,374.0
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45,104,134,253.3
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30,109,133,195.1
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60,98,124,269.0
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60,103,147,329.3
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60,100,120,250.7
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60,106,128,345.3
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60,104,132,379.3
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60,98,123,275.0
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60,98,120,215.2
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60,100,120,300.0
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45,90,112,
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60,103,123,323.0
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45,97,125,243.0
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60,108,131,364.2
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45,100,119,282.0
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60,130,101,300.0
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45,105,132,246.0
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60,102,126,334.5
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60,100,120,250.0
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60,92,118,241.0
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60,103,132
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60,100,132,280.0
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60,102,129,380.3
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60,92,115,243.0
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45,90,112,180.1
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60,101,124,299.0
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60,93,113,223.0
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60,107,136,361.0
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60,114,140,415.0
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60,102,127,300.5
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60,100,120,300.1
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60,100,120,300.0
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45,104,129,266.0
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45,90,112,180.1
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60,98,126,286.0
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60,100,122,329.4
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60,111,138,400.0
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60,111,131,397.0
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60,99,119,273.0
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60,109,153,387.6
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45,111,136,300.0
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45,108,129,298.0
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60,111,139,397.6
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60,107,136,380.2
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80,123,146,643.1
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60,106,130,263.0
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60,118,151,486.0
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30,136,175,238.0
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60,121,146,450.7
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60,118,121,413.0
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45,115,144,305.0
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20,153,172,226.4
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45,123,152,321.0
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210,108,160,1376.0
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160,110,137,1034.4
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160,109,135,853.0
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45,118,141,341.0
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20,110,130,131.4
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180,90,130,800.4
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150,105,135,873.4
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150,107,130,816.0
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20,106,136,110.4
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300,108,143,1500.2
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150,97,129,1115.0
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60,109,153,387.6
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90,100,127,700.0
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150,97,127,953.2
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45,114,146,304.0
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90,98,125,563.2
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45,105,134,251.0
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45,110,141,300.0
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120,100,130,500.4
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270,100,131,1729.0
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30,159,182,319.2
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45,149,169,344.0
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30,103,139,151.1
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120,100,130,500.0
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45,100,120,225.3
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30,151,170,300.1
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45,102,136,234.0
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120,100,157,1000.1
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45,129,103,242.0
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20,83,107,50.3
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180,101,127,600.1
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45,107,137,
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30,90,107,105.3
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15,80,100,50.5
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20,150,171,127.4
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20,151,168,229.4
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30,95,128,128.2
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25,152,168,244.2
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30,109,131,188.2
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90,93,124,604.1
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20,95,112,77.7
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90,90,110,500.0
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90,90,100,500.0
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90,90,100,500.4
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30,92,108,92.7
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30,93,128,124.0
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180,90,120,800.3
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30,90,120,86.2
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90,90,120,500.3
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210,137,184,1860.4
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60,102,124,325.2
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45,107,124,275.0
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15,124,139,124.2
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45,100,120,225.3
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60,108,131,367.6
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60,108,151,351.7
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60,116,141,443.0
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60,97,122,277.4
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60,105,125,
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60,103,124,332.7
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30,112,137,193.9
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45,100,120,100.7
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60,119,169,336.7
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60,107,127,344.9
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60,111,151,368.5
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60,98,122,271.0
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60,97,124,275.3
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60,109,127,382.0
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90,99,125,466.4
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60,114,151,384.0
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60,104,134,342.5
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60,107,138,357.5
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60,103,133,335.0
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60,106,132,327.5
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60,103,136,339.0
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20,136,156,189.0
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45,117,143,317.7
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45,115,137,318.0
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45,113,138,308.0
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20,141,162,222.4
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60,108,135,390.0
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60,97,127,
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45,100,120,250.4
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45,122,149,335.4
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60,136,170,470.2
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45,106,126,270.8
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60,107,136,400.0
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60,112,146,361.9
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30,103,127,185.0
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60,110,150,409.4
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60,106,134,343.0
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60,109,129,353.2
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60,109,138,374.0
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30,150,167,275.8
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60,105,128,328.0
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60,111,151,368.5
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60,97,131,270.4
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60,100,120,270.4
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60,114,150,382.8
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30,80,120,240.9
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30,85,120,250.4
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45,90,130,260.4
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45,95,130,270.0
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45,100,140,280.9
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60,105,140,290.8
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60,110,145,300.4
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60,115,145,310.2
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75,120,150,320.4
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75,125,150,330.4
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bigos/lecture20250506/links.txt
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bigos/lecture20250506/links.txt
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Pandas for the lecture
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https://www.w3schools.com/python/pandas/pandas_csv.asp
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Kaggle
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https://www.kaggle.com/datasets
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Some data sets
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https://365datascience.com/trending/free-dataset-resources/
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bigos/lecture20250506/readcsv2dataframe.py
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bigos/lecture20250506/readcsv2dataframe.py
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# Print dataframe
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# https://www.w3schools.com/python/pandas/pandas_csv.asp
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import pandas as pd
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df = pd.read_csv('data.csv')
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# print(df)
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print(df.to_string())
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bigos/lecture20250506/readcsv2dataframe2.py
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# Print dataframe
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# https://www.w3schools.com/python/pandas/pandas_csv.asp
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import pandas as pd
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df = pd.read_csv('seattle-pet-licenses.csv')
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print(df.describe())
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#print(df)
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print(df.to_string())
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bigos/lecture20250506/readcsv2dataframe3.py
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bigos/lecture20250506/readcsv2dataframe3.py
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# Print dataframe
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# https://www.w3schools.com/python/pandas/pandas_csv.asp
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import pandas as pd
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df = pd.read_csv('00-14-d1-1d-0c-fa.csv')
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print(df.describe())
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#print(df)
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print(df.to_string())
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bigos/lecture20250506/testinv.csv
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bigos/lecture20250506/testinv.csv
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Computer,ItemOrder,Category,ItemName,ItemValue1,ItemValue2,ItemValue3,ItemValue4,ItemValue5
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B17RM619-01163,1,System Overview,Computer Name,B17RM619-01163
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B17RM619-01163,2,System Overview,Domain Name,WORKGROUP
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B17RM619-01163,3,System Overview,Site Name,
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B17RM619-01163,4,System Overview,Roles,"Workstation, Server, Potential Browser, Master Browser"
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B17RM619-01163,5,System Overview,Description,
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B17RM619-01163,6,System Overview,Operating System,Microsoft Windows Vista Enterprise 64-bit 64-Bit
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