19%
17.02.2015
/www/html directory with:
[root@kickstart ~]# cd /var/www/html/
[root@kickstart base]# reposync -r base -a x86_64 -n
Reposync will look for the base repo in /etc/yum.repos.d/ and then sync from the particular web
19%
03.04.2024
content management system (CMS) in use by far, with a more than 40 percent market share [1]. The next closest CMS is Wix with only a 3.6 percent market share. Although you can argue about actual percentages
19%
29.10.2013
Linux running PHP 5.3
5) 32bit Amazon Linux running Node.js
6) 64bit Amazon Linux running Node.js
...
Don’t create an RDS instance this time, so type n
for that option; however, notice how
19%
04.11.2011
only need to port the two inner loops (Listing 2, lines 7 and 9) because the threads process all the required x
and y
values in parallel. I use the built-in clamp()
function (Listing 3, line 42
19%
03.08.2023
://localhost:8000
$ curl -s -H "Content-type: application/json" -X POST -d '{ "command": "lease4-add", "arguments":{"ip-address":"172.17.6.8", "hw-address": "52:54:00:8a:17:9f"}, "service": [ "dhcp4" ] }' http
19%
18.07.2013
://blog.ciberterminal.net/2012/10/16/parallel-rsyncing-a-huge-directory-tree/
Parallelizing RSYNC Processes: http://sun3.org/archives/280
Parallelizing rsync: http://superuser.com/questions/353383/parallelizing-rsync
Bit
19%
17.10.2011
.6.24: 1.5-23
05 pve-kernel-2.6.24-11-pve: 2.6.24-23
06 qemu-server: 1.1-16
07 pve-firmware: 1.0-5
08 libpve-storage-perl: 1.0-13
09 vncterm: 0.9-2
10 vzctl: 3.0.23-1pve11
11 vzdump: 1.2-5
12 vzprocps: 2
19%
25.09.2023
a DNS entry of type CNAME (Listing 3). Cloudflare generates a special random hostname for the tunnel, .cfargotunnel.com , where is something like:
f99fbf8ba1945738cc292667441e6858e69d8f9f
19%
05.02.2023
and select Create Instance
. MySQL versions 8.0, 5.7, and 5.8 and PostgreSQL versions 9.6, 10, 11, 12, 13, and 14 are now available for selection. Alternatively, a managed database instance with Microsoft SQL
19%
19.06.2023
object
O
Python object
A simple example from nkmk creates a float64
data type (64-bit floating-point number):
import numpy as np
a = np.array([1, 2, 3], dtype=np.float64
