20%
04.08.2020
in the standard Python built-ins [2] and in the NumPy library [3].
Figure 1: IPython session comparing two implementations of a round routine.
Unless you
20%
11.06.2014
/joe/.ssh/google_compute_engine -A -p 22 joe@1.2.3.4 --
11 Warning: Permanently added '1.2.3.4' (ECDSA) to the list of known hosts.
12 Enter passphrase for key '/home/joe/.ssh/google_compute_engine':
13 Linux gcerocks-instance-1 3
20%
23.04.2014
as a module):
[laytonjb@home4 HPC_028]$ ls -lsa /lib/modules/2.6.32-431.5.1.el6.x86_64/kernel/fs/fuse
total 168
4 drwxr-xr-x 2 root root 4096 Mar 20 20:09 ./
4 drwxr-xr-x 30 root root 4096 Mar 20 20:09
20%
07.04.2022
\\Documents\PowerShell\Modules\Microsoft.PowerShell.Crescendo\0.6.1\Samples folder with some sample files intended for Unix-style commands.
Executing Commands
The most common use of Crescendo-generated wrappers is to wrap command-line commands in verb
20%
09.04.2019
in mv
ubuntu@aws:~/slow-mv$ strace -t mv 3GB.copy 3GB
19:00:09 execve("/bin/mv", ["mv", "3GB.copy", "3GB"], 0x7ffd0e7dddf8 /* 21 vars */) = 0
19:00:09 brk(NULL) = 0x55cd7d1ce000
20%
14.08.2017
:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K -rw-r--r-- 1 laytonjb laytonjb 261K 2014-06-09 20:31 FS_scan.csv.gz
The original file is 3.2MB, but after using gzip with the -9
20%
11.06.2014
installation of Kolab 3.0 and later is a matter of one or two cups of coffee and does not impose too many requirements on the admin. The Kolab developers recommend a recent CentOS (preferably 6.4) as the basis ... Open standards and open source are requisite in Kolab groupware. The alpha release of version 3.1 hugely extended the number of compatible clients with the CalDAV and CardDAV protocols, making Kolab
20%
21.01.2020
7 1 56008 loop1
06 7 2 56184 loop2
07 7 3 91264 loop3
08 259 0 244198584 nvme0n1
09 8 0 488386584 sda
10 8 1 1024 sda1
11
20%
02.06.2020
NAME PROPERTY VALUE SOURCE
myvol type filesystem -
myvol creation Sat Feb 22 22:09 2020 -
myvol used 471K
20%
01.08.2019
source JIT compiler that translates a subset of Python and NumPy [2] code into fast machine code at run time; hence, the "JIT" designation. Numba uses the LLVM [3] compiler library for ultimately compiling
