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16%
Data Analysis with R and Python
17.02.2015
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Lead Image © mopic, 123RF.com
for x in rep.df.rx2(2)]) 17 18 devs.png(file=path, width=512, height=512) 19 ro.r.plot(x_vals, y_vals, xlab=x_lab, ylab=y_lab, main=main) 20 devs.dev_off() 21 22 rep
15%
Modularize websites with Web Components
09.04.2019
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Lead Image © Andrey Prokhorov, fotolia.com
="https://unpkg.com/@webcomponents/webcomponentsjs"> 05 06 07 08 09 My Comments 10 11
12
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Warewulf Cluster Manager – Master and Compute Nodes
22.05.2012
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86_64 0:1.9-22.el6_2.1 libacl.x86_64 0:2.2.49-6.el6 libattr.x86_64 0:2.4.44-7.el6 libblkid.x86_64 0:2.17.2-12.4.el6 libcap.x86_64 0
15%
Warewulf 4 – Time and Resource Management
17.01.2023
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 yum install ohpc-slurm-server Last metadata expiration check: 0:22:28 ago on Sun 04 Dec 2022 08:29:36 AM EST. Dependencies
15%
Building a HPC cluster with Warewulf 4
04.04.2023
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Photo by Andrew Ly on Unsplash
$ sudo yum install ohpc-slurm-server Last metadata expiration check: 0:22:28 ago on Sun 04 Dec 2022 08:29:36 AM EST. Dependencies resolved
15%
Go testing frameworks
05.08.2024
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Lead Image © Lucy Baldwin, 123RF.com
= [size][size]int {{0},{0},} 08 09 for i := 0; i < size; i++ { 10 for j := 0; j < size; j++ { 11 array[i][j]++ 12 } 13 } 14 15
15%
mpi4py – high-performance distributed Python
30.11.2020
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Lead Image © liu liming, 123RF.com
): 11 12 s = 0.0 13 s += h * f(a) 14 for i in range(1, n): 15 s += 2.0 * h * f(a + i*h) 16 # end for 17 s += h * f(b) 18 return (s/2.) 19 # end def 20 21 22 # Main section 23 comm = MPI
15%
Warewulf 4 – Python and Jupyter Notebooks
13.04.2023
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/apps/apps/conda/$USER/envs total 8 4 drwxrwxr-x 3 laytonjb laytonjb 4096 Mar 12 11:28 .. 4 drwxrwxr-x 2 laytonjb laytonjb 4096 Mar 12 11:28 . I did this for my user account, and if you are adding a new user, you will have
15%
Warewulf 4
13.12.2022
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            1.1 M  dhcp-common              noarch         12:4.3.6-47.el8                 baseos            206 k  dhcp-libs                x86_64         12:4.3.6-47.el8                 baseos            147 k
15%
Get Started with Parallel CPython
07.11.2011
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         print str(id) + ' Total waste of CPU cycles!' 08  09 if '__main__' == __name__: 10  11     for i in xrange(20): 12         Process(target = waste, args = (i,)).start() The counting.py program delays

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