@9009134 What does the software do? What problem are you trying to solve?

@9009134  Describing in detail how to import and parse the data file isn't something I have the bandwidth to do.

You'll need to (i) understand the format of the data file, (ii) read in the data file line by line, (iii) interpret what the data on each line means.

The format of the data file appears to be describe here

Could you please describe *why* you want the seven parameter version of the polynomials. What are you trying to do with them?

A quick Google search gives you a data file with the coefficients for the 7-parameter Nasa polynomials: https://shepherd.caltech.edu/EDL/PublicResources/sdt/thermo.html. You'll need to parse the data file into a format that Maple understands, though.

Why *specifically* do you want the 7 parameter coefficients, and not the 9 parameter coefficients?

Maple already has similar thermodynamic correlations for about 2000 chemicals built into the ThermophysicalData package

For example, here's the molar specific heat capacity, enthalpy and entropy of Jet-A (sorry about the illegible pictures, but the commands should be visible).

@nm You're not the first person to suggest built-in plot themes :)

@mmcdara You're right, the grey background does look like that in ggplot2

@Scot Gould and I had a very productive conversation about the physics of this problem. He commented on and identified mistakes in the application posted recently on the App Center, and I learned a lot from the approach in his document. Thank you @Scot Gould!

@student_md This is a long requested feature. There are no built-in tools but some of our users have come up with clever workarounds

@Carl Love Thank you for pointing this out. While we clear up the definition of Katz centrality, I'll remove that section from the worksheet.

@nm I'll make sure this lands on the right desk

@Christopher2222 What would you like to see in an Astronomy package?

@nm We are listening :) An improved debugger is something many of our customers have requested.

By the way, Maple 2020's new LaTeX export is better. The LaTex generated for your example here has improved

eq:=-(1/2)*1/y = (1/3)*x^3+z:
sol:=solve(eq,y):
latex(sol)

now produces

-{\frac {3}{2\,{x}^{3}+6\,z}}

which renders as

@Christopher2222 I'd love to support more audio import formats!

@mmcdara I wrote a brief explanation here

@Carl Love 
Let's say I start off with these points

X := Array([558, 533, 512, 509, 519, 538, 527, 501, 485, 493, 499, 499, 465, 406, 413, 441, 430, 406, 397, 393, 392, 397, 403, 406, 397, 365, 356, 354, 326, 311, 336, 355, 315, 278, 278, 249, 242, 232, 204, 208, 209, 204, 206, 242, 242, 263, 274, 287, 334, 361, 320, 314, 344, 355, 360, 379, 406, 407, 399, 393, 391, 394, 404, 415, 439, 431, 402, 438, 487, 503, 497, 486, 488, 514, 538, 537, 511, 508, 518, 546]):
Y := Array([420, 412, 431, 480, 522, 505, 444, 431, 480, 591, 605, 548, 444, 416, 426, 478, 516, 533, 488, 395, 305, 356, 463, 525, 418, 414, 488, 465, 416, 458, 497, 495, 463, 409, 488, 514, 458, 512, 441, 441, 485, 412, 508, 493, 463, 516, 437, 403, 503, 482, 495, 429, 416, 499, 439, 407, 490, 533, 392, 309, 333, 452, 520, 529, 499, 452, 418, 416, 492, 593, 606, 544, 448, 429, 482, 518, 508, 450, 424, 414]):

plot(X, Y, style = point)

If I squint my eyes, that might say "maple".

DFT of X and Y points

dft_X := Vector(SignalProcessing:-FFT(X)): 
dft_Y := Vector(SignalProcessing:-FFT(Y)):

Phase and amplitude of sines

n  := numelems(X):

P_X  := Re(argument~(dft_X[2..ceil(n / 2)])):
A_X  := abs(dft_X[2..ceil(n / 2)]):

P_Y  := Re(argument~(dft_Y[2..ceil(n / 2)])):
A_Y  := abs(dft_Y[2..ceil(n / 2)]):

Parametric curves

curve_X := evalf[3](add(seq(A_X[i] * sin(Pi / 2 - 2 * Pi / n * i * t + P_X[i]), i = 1..ceil(n / 2) - 1)));
curve_Y := evalf[3](add(seq(A_Y[i] * sin(Pi / 2 - 2 * Pi / n * i * t + P_Y[i]), i = 1..ceil(n / 2) - 1)));

Plot the parametric curves

plot([curve_X, curve_Y, t = 0 .. n / 2])

I'll upload a complete application to the Application Center soon. It'll include an interactive plot to draw a curve (or some "handwritten" text) to get the 2d discrete data.

This was all inspired by Michael Trott's blog post at Wolfram.com. I also adapted the core code from a discussion at mathematica.stackexchange.com