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Launch Jupyter kernels for any installed conda environment.
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conda
Version: 2.2.3+32.g80fd0b5
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2.5.2
2.5.1+14.g48aed9d
2.5.1+12.g1fc3e8e
2.5.1+10.g2a50fd1
2.5.1+8.g40d01db
2.5.1+6.ge69af67
2.5.1+4.g5dd2db8
2.5.1+2.gd9534c0
2.5.0+8.gb3fd984
2.5.0+6.gd829c41
2.5.0+4.gc0c71a5
2.5.0+2.g9e03a96
2.5.0
2.4.0+8.g7d10f92
2.4.0+2.ga793d25
2.4.0
2.3.2+51.gaf70bed
2.3.2+48.gd7cf426
2.3.2+41.g1ad3d4e
2.3.2+38.gc2312f2
2.3.2+32.g5cb0e15
2.3.2+29.g751d0a2
2.3.2+26.g64f8c90
2.3.2+22.g8e65a57
2.3.2+19.g4ce13b2
2.3.2+17.g91c073f
2.3.2+15.g0b96856
2.3.2
2.3.1
2.3.0+17.g1dfee32
2.3.0+15.gb712215
2.3.0+8.g5ba1b34
2.3.0+5.g120d900
2.3.0
2.2.4+22.ge97f0e8
2.2.4+19.gc070449
2.2.4+18.g7422ba9
2.2.4+16.g3705f4e
2.2.4+5.gc955a1b
2.2.4+2.gf3596a3
2.2.4+2.ge857bed
2.2.4
2.2.3+32.g80fd0b5
2.2.3+30.g9cfdec9
2.2.3+26.gf5039d8
2.2.3+18.g668e756
2.2.3+13.g30e6110
2.2.3+9.g098a659
2.2.3+7.g0b32a6b
2.2.3
2.2.2+10.g1b9e821
2.2.2+7.g0363098
2.2.2+5.gf014e60
2.2.2+5.g638842c
2.2.2
2.2.1+19.g390b709
2.2.1+13.g3eeff42
2.2.1+10.g326a6e6
2.2.1+6.g55a3d4e
2.2.1+2.gf2e0d06
2.2.1
2.2.0+12.gb648686
2.2.0+8.g6072c27
2.2.0+5.gdb8c10d
2.2.0+1.g7fedcb6
2.2.0
2.1.1+74.ga8cc906
2.1.1+63.ga34d4b4
2.1.1+59.g671c6ad
2.1.1+55.g8eb2ab0
2.1.1+51.g7e5d34f
Label: dev
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conda
14.4 kB
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noarch/nb_conda_kernels-2.2.3+32.g80fd0b5-py_0.tar.bz2
4 years and 4 months ago
102
dev
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