├── .gitignore ├── docs ├── 00-introduction │ ├── 00-introduction.html │ └── screenshots │ │ ├── date-18-03-2020-time-13-10-52.png │ │ └── date-18-03-2020-time-13-11-41.png ├── 01-numpy │ ├── 01-numpy.html │ ├── 01-p-t.dat │ ├── 01-raman.txt │ └── obipy-resources │ │ └── 8be4a644cf2f3b3401db7b23831e687db897aac8 │ │ ├── 406ae7b9a876d7e355441d8d1c7d48a2559f477e.png │ │ ├── 7ab2eeaf94b43c69d1b1a27d9de9c7252392f888.png │ │ ├── 99f5801ce3fb92cf7e4ba25d9a8a0b99ecc86271.png │ │ ├── b73fdebab2e40d5aab38ab02156af43b987a52d6.png │ │ └── e69226bf3e8c3b4a3fc681e8087b57a0e1638b3c.png ├── 02-numpy-vis │ ├── 02-numpy-vis.html │ ├── XPS_Data.xlsx │ └── screenshots │ │ ├── date-23-03-2020-time-06-40-59.png │ │ └── date-23-03-2020-time-06-41-27.png ├── 03-pandas-intro │ ├── 03-p-t.dat │ ├── 03-pandas-intro.html │ ├── 03-raman.txt │ └── obipy-resources │ │ └── ce78a4c1eacbbb3e62317b49f962b3502da46c3d │ │ ├── 1460f670c1eacbe8404dc6b860cd9ddf2f975a91.png │ │ ├── 177bbc2306b5d5a00668f0e0ac45dda36b7d555b.png │ │ ├── 3b44bd715e347fc47985d165684c3122d6f44da5.png │ │ ├── 406ae7b9a876d7e355441d8d1c7d48a2559f477e.png │ │ ├── 44bb7b6ba52d2e05618652285576d05cb02b9ae0.png │ │ ├── 57d877bcb0590a755fa7059989ca7695d46fad89.png │ │ ├── 90fd2f299bef22309162ce71f49a3cb7ed8896cd.png │ │ ├── 962db551529397b6ee216e10dfcfd9d1d4201550.png │ │ ├── 9930e1b303661f1696cbaeee4feeb2cff37d3010.png │ │ ├── a808e07bbc6b5ff378291c9a04012192cecf0df4.png │ │ ├── b4182ac708a09b5c71aa958ddfbbfeec137b08cb.png │ │ └── b5949cde51278b75b93debc128d22fddebd69b9b.png ├── 04-intermediate-pandas │ ├── 03-p-t.dat │ ├── 04-intermediate-pandas.html │ ├── 04-p-t.dat │ ├── comparison.png │ ├── obipy-resources │ │ └── 3be45d76b163b8bb1df66eecadee508f4a67987e │ │ │ ├── 1504381573ae230e0fa94550e5e2c463f0589f3e.png │ │ │ ├── 15ff592b3b38c32b4dce3add72442da79e4f3c92.png │ │ │ ├── 1d78473a8bff363dfc59ac6ad1c3a49d6ff1abe8.png │ │ │ ├── 25086ff716a720a533d4ed899a6a86bb08315b71.png │ │ │ ├── 47a4286be15c696e49c5e47c3e4075eebee13861.png │ │ │ ├── 51cb95ada31652813d5c3ceffed02eabaec04483.png │ │ │ ├── 82fa9703537f9604a15bc1d94225af36053c949d.png │ │ │ ├── 9e22fcb191fbf930f92642bc29ae2cb816c9dc19.png │ │ │ ├── a2c5892160b59e9124d6ec47ea63f41f745456ad.png │ │ │ ├── aa5d423a82a6c9f6933250fc3fdb1ec69c16349b.png │ │ │ ├── af667c68f5283887c8b0674db8409783703bfd8a.png │ │ │ ├── ba4ff33c9ca30bda8f904ad8a344d774ca1a52d6.png │ │ │ ├── bcd0679e02b971d02b91cece3559bb2f79e831ae.png │ │ │ ├── d85848426c3aa1038a77fb2b0fef7f9331d5c306.png │ │ │ ├── e31829ba2cc7835c96165ce0c912d45149f3e1a9.png │ │ │ ├── ed7c1db952c0255f68a0418fa6eb85eaf61cfd4d.png │ │ │ └── f2327c014ab824486e7d5bdc405dcbd2f95693ff.png │ └── slambor-example.html ├── 05-pandas-database │ └── 05-pandas-database.html ├── 06-linear-regression │ ├── 06-linear-regression.html │ ├── fluid.txt │ └── obipy-resources │ │ └── 425d35f522120a5f21dfcd278c72a194ad652a5d │ │ ├── 57fb6d0f3a8df778cb17940533883151c21e8c3a.png │ │ ├── 66514818e11b7e3a45b8e199742a77cca724b539.png │ │ ├── 75104302dacab7e00b446b1d48662f713ee0d36d.png │ │ ├── 75c93e529a27e8f589f953a2ba5dbf80333ccf0d.png │ │ ├── 85017a83d06a8b53cb1c6e4f2a2a73d0e11befbd.png │ │ ├── 9ba486899cb791f8c7ef6faa788ff8971d6678ac.png │ │ ├── bb455b932c260a26b171929f79c22d43b9c0bec7.png │ │ ├── c0ca6e96717b30a87c441c3d15a359eb6b6ac579.png │ │ ├── d741f9f85cabe1dd63036c1142e8da74e2178e41.png │ │ ├── e6c230f51ab87f5b0504037d4f5df8362dab7037.png │ │ ├── ef5c30b099cf419674fc0f1f4e99d5a1c6896809.png │ │ └── fba2b9e42de5a32461aa049969ec7fab830feb42.png ├── 07-intermediate-sklearn │ ├── 07-intermediate-sklearn.html │ └── obipy-resources │ │ └── 523c0ca59057f725dcdb02464743686812d70bef │ │ ├── 0652bd6929459d2972a15b622b7596c5a1a489c3.png │ │ ├── 3131924bce0f3a59b8e56eb64718b83e86eaa3a7.png │ │ ├── 3b1cc98403ce19a483e691317aa4e7a5594ecf4d.png │ │ ├── 6c84bde132b5a67a84ae37485b141e69c577e9c9.png │ │ ├── b17a4278fe24672772b9352b62c7451f6f9084c9.png │ │ ├── cdffc8cf1d2d9be72bdc1dba52ed3d8a3eab316c.png │ │ └── d3dd02f473ed201de5b7dca527532530bbacc7e1.png ├── 08-nonlinear-sklearn │ ├── 08-nonlinear-sklearn.html │ ├── GPR1.png │ ├── GPR2.png │ ├── GPR3.PNG │ └── obipy-resources │ │ └── da6bac4077a70a9e6f7fab448bda833ab54e1f64 │ │ ├── 09b95f5c2f77a78edee595bb0fd487fd8786516b.png │ │ ├── 0c91860e551ca6d687d4cb2e91108e01cd53832e.png │ │ ├── 560c4d573aad218f23160ef162cbf76090a20127.png │ │ ├── 65e1828bbd2a3a2f53388447185707355c132214.png │ │ ├── 707675da089109dc99434bdb081e3cd17794fec6.png │ │ ├── c467ba631a7405c780314a4856017e207e81969a.png │ │ ├── fd7ebfa842298ddefd1a7e05d09eb4e91d25877f.png │ │ └── ffbff950ed5123b58d4ecfb1e591d1a2f0407130.png ├── 09-random-forests │ ├── 09-random-forests.html │ ├── fluid.txt │ ├── indecision-tree.png │ ├── obipy-resources │ │ └── d2fbd1a04684ce3d706edd2a408fb9db273cd365 │ │ │ ├── 567d8b70a3fbe761d400158f4fc13637ce645ce0.png │ │ │ ├── 5a377c09585682fda1a6c358bc15064206370137.png │ │ │ ├── 6bc8a9fa37a784e0d0e52cce08ddca53739e8c35.png │ │ │ ├── 70778b8932f374abf2c07fb398400407fd717e77.png │ │ │ ├── 75feb458035566d5c03e32e44ff40dc818ba8f8b.png │ │ │ ├── b5cd3415259b663f36101d06d6973425b4a24c7f.png │ │ │ ├── bec8876bb2d74b26645794b2a2a4f17ca245e08a.png │ │ │ ├── d4fdf2d236d3406be2d78517a16788313beee288.png │ │ │ └── fe9c25e6436ba31c64a9dd881324db82748896bb.png │ └── random-forests.png ├── _config.yml ├── data-hydra.png ├── index.html └── notebooks │ ├── 00-introduction │ └── 00-introduction.ipynb │ ├── 01-numpy │ └── 01-numpy.ipynb │ ├── 02-numpy-vis │ └── 02-numpy-vis.ipynb │ ├── 03-pandas-intro │ └── 03-pandas-intro.ipynb │ ├── 04-intermediate-pandas │ └── 04-intermediate-pandas.ipynb │ ├── 05-pandas-database │ └── 05-pandas-database.ipynb │ ├── 06-linear-regression │ └── 06-linear-regression.ipynb │ ├── 07-intermediate-sklearn │ └── 07-intermediate-sklearn.ipynb │ ├── 08-nonlinear-sklearn │ └── 08-nonlinear-sklearn.ipynb │ ├── 09-random-forests │ └── 09-random-forests.ipynb │ └── index.ipynb ├── org ├── 00-introduction │ ├── 00-introduction.ipynb │ ├── 00-introduction.org │ └── screenshots │ │ ├── date-18-03-2020-time-13-10-52.png │ │ └── date-18-03-2020-time-13-11-41.png ├── 01-numpy │ ├── 01-numpy.ipynb │ ├── 01-numpy.org │ ├── 01-p-t.dat │ ├── 01-raman.csv │ ├── 01-raman.json │ ├── 01-raman.txt │ └── obipy-resources │ │ └── 8be4a644cf2f3b3401db7b23831e687db897aac8 │ │ ├── 406ae7b9a876d7e355441d8d1c7d48a2559f477e.png │ │ ├── 7ab2eeaf94b43c69d1b1a27d9de9c7252392f888.png │ │ ├── 99f5801ce3fb92cf7e4ba25d9a8a0b99ecc86271.png │ │ ├── b73fdebab2e40d5aab38ab02156af43b987a52d6.png │ │ └── e69226bf3e8c3b4a3fc681e8087b57a0e1638b3c.png ├── 02-numpy-vis │ ├── 02-numpy-vis.ipynb │ ├── 02-numpy-vis.org │ ├── XPS_Data.xlsx │ └── screenshots │ │ ├── date-23-03-2020-time-06-40-59.png │ │ └── date-23-03-2020-time-06-41-27.png ├── 03-pandas-intro │ ├── 03-log1.lammps │ ├── 03-p-t.dat │ ├── 03-pandas-intro.ipynb │ ├── 03-pandas-intro.org │ ├── 03-raman.txt │ └── obipy-resources │ │ └── ce78a4c1eacbbb3e62317b49f962b3502da46c3d │ │ ├── 1460f670c1eacbe8404dc6b860cd9ddf2f975a91.png │ │ ├── 177bbc2306b5d5a00668f0e0ac45dda36b7d555b.png │ │ ├── 3b44bd715e347fc47985d165684c3122d6f44da5.png │ │ ├── 406ae7b9a876d7e355441d8d1c7d48a2559f477e.png │ │ ├── 44bb7b6ba52d2e05618652285576d05cb02b9ae0.png │ │ ├── 57d877bcb0590a755fa7059989ca7695d46fad89.png │ │ ├── 90fd2f299bef22309162ce71f49a3cb7ed8896cd.png │ │ ├── 962db551529397b6ee216e10dfcfd9d1d4201550.png │ │ ├── 9930e1b303661f1696cbaeee4feeb2cff37d3010.png │ │ ├── a808e07bbc6b5ff378291c9a04012192cecf0df4.png │ │ ├── b4182ac708a09b5c71aa958ddfbbfeec137b08cb.png │ │ └── b5949cde51278b75b93debc128d22fddebd69b9b.png ├── 04-intermediate-pandas │ ├── 03-p-t.dat │ ├── 04-intermediate-pandas.ipynb │ ├── 04-intermediate-pandas.org │ ├── 04-p-t.dat │ ├── comparison.png │ ├── couette.xls │ ├── cp.xls │ └── obipy-resources │ │ └── 3be45d76b163b8bb1df66eecadee508f4a67987e │ │ ├── 1504381573ae230e0fa94550e5e2c463f0589f3e.png │ │ ├── 15ff592b3b38c32b4dce3add72442da79e4f3c92.png │ │ ├── 1d78473a8bff363dfc59ac6ad1c3a49d6ff1abe8.png │ │ ├── 25086ff716a720a533d4ed899a6a86bb08315b71.png │ │ ├── 47a4286be15c696e49c5e47c3e4075eebee13861.png │ │ ├── 51cb95ada31652813d5c3ceffed02eabaec04483.png │ │ ├── 82fa9703537f9604a15bc1d94225af36053c949d.png │ │ ├── 9e22fcb191fbf930f92642bc29ae2cb816c9dc19.png │ │ ├── a2c5892160b59e9124d6ec47ea63f41f745456ad.png │ │ ├── aa5d423a82a6c9f6933250fc3fdb1ec69c16349b.png │ │ ├── af667c68f5283887c8b0674db8409783703bfd8a.png │ │ ├── ba4ff33c9ca30bda8f904ad8a344d774ca1a52d6.png │ │ ├── bcd0679e02b971d02b91cece3559bb2f79e831ae.png │ │ ├── d85848426c3aa1038a77fb2b0fef7f9331d5c306.png │ │ ├── e31829ba2cc7835c96165ce0c912d45149f3e1a9.png │ │ ├── ed7c1db952c0255f68a0418fa6eb85eaf61cfd4d.png │ │ └── f2327c014ab824486e7d5bdc405dcbd2f95693ff.png ├── 05-pandas-database │ ├── 05-pandas-database.ipynb │ └── 05-pandas-database.org ├── 06-linear-regression │ ├── 06-linear-regression.ipynb │ ├── 06-linear-regression.org │ ├── fluid.txt │ └── obipy-resources │ │ └── 425d35f522120a5f21dfcd278c72a194ad652a5d │ │ ├── 57fb6d0f3a8df778cb17940533883151c21e8c3a.png │ │ ├── 66514818e11b7e3a45b8e199742a77cca724b539.png │ │ ├── 75104302dacab7e00b446b1d48662f713ee0d36d.png │ │ ├── 75c93e529a27e8f589f953a2ba5dbf80333ccf0d.png │ │ ├── 85017a83d06a8b53cb1c6e4f2a2a73d0e11befbd.png │ │ ├── 9ba486899cb791f8c7ef6faa788ff8971d6678ac.png │ │ ├── bb455b932c260a26b171929f79c22d43b9c0bec7.png │ │ ├── c0ca6e96717b30a87c441c3d15a359eb6b6ac579.png │ │ ├── d741f9f85cabe1dd63036c1142e8da74e2178e41.png │ │ ├── e6c230f51ab87f5b0504037d4f5df8362dab7037.png │ │ ├── ef5c30b099cf419674fc0f1f4e99d5a1c6896809.png │ │ └── fba2b9e42de5a32461aa049969ec7fab830feb42.png ├── 07-intermediate-sklearn │ ├── 07-intermediate-sklearn.ipynb │ ├── 07-intermediate-sklearn.org │ ├── data.json │ └── obipy-resources │ │ └── 523c0ca59057f725dcdb02464743686812d70bef │ │ ├── 0652bd6929459d2972a15b622b7596c5a1a489c3.png │ │ ├── 3131924bce0f3a59b8e56eb64718b83e86eaa3a7.png │ │ ├── 3b1cc98403ce19a483e691317aa4e7a5594ecf4d.png │ │ ├── 6c84bde132b5a67a84ae37485b141e69c577e9c9.png │ │ ├── b17a4278fe24672772b9352b62c7451f6f9084c9.png │ │ ├── cdffc8cf1d2d9be72bdc1dba52ed3d8a3eab316c.png │ │ └── d3dd02f473ed201de5b7dca527532530bbacc7e1.png ├── 08-nonlinear-sklearn │ ├── 08-nonlinear-sklearn.ipynb │ ├── 08-nonlinear-sklearn.org │ ├── GPR - sklearn.ipynb │ ├── GPR1.png │ ├── GPR2.png │ ├── GPR3.PNG │ ├── logzsv.csv │ └── obipy-resources │ │ └── da6bac4077a70a9e6f7fab448bda833ab54e1f64 │ │ ├── 09b95f5c2f77a78edee595bb0fd487fd8786516b.png │ │ ├── 0c91860e551ca6d687d4cb2e91108e01cd53832e.png │ │ ├── 560c4d573aad218f23160ef162cbf76090a20127.png │ │ ├── 65e1828bbd2a3a2f53388447185707355c132214.png │ │ ├── 707675da089109dc99434bdb081e3cd17794fec6.png │ │ ├── c467ba631a7405c780314a4856017e207e81969a.png │ │ ├── fd7ebfa842298ddefd1a7e05d09eb4e91d25877f.png │ │ └── ffbff950ed5123b58d4ecfb1e591d1a2f0407130.png ├── 09-random-forests │ ├── 09-random-forests.ipynb │ ├── 09-random-forests.org │ ├── Archive.zip │ ├── SuperCritical-Test.csv │ ├── SuperCritical-Train.csv │ ├── fluid.txt │ ├── indecision-tree.png │ ├── obipy-resources │ │ └── d2fbd1a04684ce3d706edd2a408fb9db273cd365 │ │ │ ├── 567d8b70a3fbe761d400158f4fc13637ce645ce0.png │ │ │ ├── 5a377c09585682fda1a6c358bc15064206370137.png │ │ │ ├── 6bc8a9fa37a784e0d0e52cce08ddca53739e8c35.png │ │ │ ├── 70778b8932f374abf2c07fb398400407fd717e77.png │ │ │ ├── 75feb458035566d5c03e32e44ff40dc818ba8f8b.png │ │ │ ├── b5cd3415259b663f36101d06d6973425b4a24c7f.png │ │ │ ├── bec8876bb2d74b26645794b2a2a4f17ca245e08a.png │ │ │ ├── d4fdf2d236d3406be2d78517a16788313beee288.png │ │ │ └── fe9c25e6436ba31c64a9dd881324db82748896bb.png │ └── random-forests.png ├── data-hydra.png ├── index.ipynb └── index.org └── readme.org /.gitignore: -------------------------------------------------------------------------------- 1 | *.DS_Store 2 | *Icon* 3 | *ipynb_checkpoints* 4 | 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