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sagemath 8.6

Project: Testing 18.04
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Kernel: SageMath 8.6

Sage 8.6

First tests on CoCalc in "Experimental" software environment.

version()
'SageMath version 8.6, Release Date: 2019-01-15'
graphs.Balaban10Cage().show()
Image in a Jupyter notebook
r.summary(r.c(-1,8,-5,3,4,3,2,3))
Min. 1st Qu. Median Mean 3rd Qu. Max. -5.000 1.250 3.000 2.125 3.250 8.000
EllipticCurve('123a').plot()
Image in a Jupyter notebook
import rpy2.robjects as robjects
ro_x = robjects.r.rnorm(100r)
robjects.r['print'](ro_x)
ro_x
[1] -1.189133828 -0.836819676 -0.442810106 1.122136653 -0.784009230 [6] -0.993369747 -0.673212001 0.206063823 -0.589471948 -0.298967878 [11] 0.644007462 1.015746212 0.205503429 0.209110249 1.594347218 [16] 0.003689496 0.001722255 -0.875462496 -0.462871842 -0.127531305 [21] 1.711617341 0.120556035 -0.436398662 0.506860541 0.324467298 [26] -0.001974837 -0.952005432 -0.434153442 -0.922783537 0.173266958 [31] -0.031136536 1.145629492 1.162439694 1.896267385 -0.639952963 [36] 0.792292860 -1.094769332 0.807824124 0.483236296 0.955261456 [41] -0.763748078 -0.184643613 -0.432223085 0.522058052 1.135119358 [46] -2.185715836 0.438690955 0.799953106 -0.622378705 -1.096847114 [51] 1.529592591 0.583753307 0.500377045 -0.565527181 -0.356021698 [56] 1.228573124 1.084419727 0.464340508 0.382095447 0.468568054 [61] -2.034404915 1.542029779 -0.826578792 2.871675812 0.735527698 [66] -1.294764552 1.245475086 1.312503543 -0.525470127 0.935469394 [71] 0.297056514 -0.475678952 0.939198872 0.064521583 -0.022206196 [76] 0.974813990 -1.126664370 1.508208059 0.037994704 -1.657658761 [81] -1.875740662 -0.460146188 -0.110762892 -0.510032398 -0.892853896 [86] 1.682180311 -1.667291928 0.801983028 0.365993263 0.241076817 [91] -0.427597042 0.127901074 -0.387795816 -0.760522673 0.074028576 [96] -0.552704609 0.096485459 -0.143279443 -0.786070997 -0.745633523
R object with classes: ('numeric',) mapped to: <FloatVector - Python:0x7f84012b9f38 / R:0x55881d072360> [-1.189134, -0.836820, -0.442810, ..., -0.143279, -0.786071, -0.745634]
robjects.r.summary(ro_x)
R object with classes: ('summaryDefault', 'table') mapped to: <FloatVector - Python:0x7f83f34065f0 / R:0x55881dcf3458> [-2.185716, -0.597699, 0.020842, 0.047959, 0.749719, 2.871676]