Day 3: Data

Data is big business today. We are only concerned with routine handling of data in undergraduate engineering curriculum. This means

• Plotting (we have done this)
• Interpolation
• Statistics
• Curve Fitting

An important resource for handling data is Excel. You can import CSV/Excel data into Python, finish your processing, and save your results back in Excel for standard appearance.

In this category we will also include example of special functions like

• Taylor Series
• Basis Function (Bezier)
• Singularity Function

The slides are in the link below

This is a hands-on session. So all of you will be writing your own code

The data for standard atmosphere is the four column data below. Could not insert it. It should be saved as an ascii text file. Copy and paste it in the text editor and name it StdAtmosphere.txt

-2000 301.15 1.27774E+5 1.47808 1.87630E-5

-1000 294.65 1.13929E+5 1.34700 1.84434E-5

0 288.15 1.01325E+5 1.22500 1.81206E-5

1000 281.65 8.98746E+4 1.11164 1.77943E-5

2000 275.15 7.94952E+4 1.00649 1.74645E-5

3000 268.65 7.01085E+4 9.09122E-1 1.71311E-5

4000 262.15 6.16402E+4 8.19129E-1 1.67940E-5

5000 255.65 5.40199E+4 7.36116E-1 1.64531E-5

6000 249.15 4.71810E+4 6.59697E-1 1.61084E-5

7000 242.65 4.10607E+4 5.89501E-1 1.57596E-5

8000 236.15 3.55998E+4 5.25168E-1 1.54068E-5

9000 229.65 3.07425E+4 4.66348E-1 1.50498E-5

10000 223.15 2.64363E+4 4.12707E-1 1.46884E-5

12000 216.65 1.93304E+4 3.10828E-1 1.43226E-5

15000 216.65 1.20446E+4 1.93674E-1 1.43226E-5

20000 216.65 5.47489E+3 8.80349E-2 1.43226E-5

25000 221.65 2.51102E+3 3.94658E-2 1.46044E-5

30000 226.65 1.17187E+3 1.80119E-2 1.48835E-5

35000 237.05 5.58924E+2 8.21392E-3 1.54559E-5

40000 251.05 2.77522E+2 3.85101E-3 1.62096E-5

45000 265.05 1.43135E+2 1.88129E-3 1.69449E-5

50000 270.65 7.59448E+1 9.77525E-4 1.72341E-5

60000 245.45 2.03143E+1 2.88321E-4 1.59104E-5

70000 217.45 4.63422 7.42430E-5 1.43679E-5

80000 196.65 8.86280E-1 1.57005E-5 1.31682E-5

84852 186.95 3.73384E-1 6.95788E-6 1.25915E-5