18%
17.02.2015
vectors with 100,000 equally distributed random numbers from the interval 0.5 to 65 each, which round() then rounds to 1 and 6.
Each vector component simulates a throw of the dice. The call to hist
18%
11.04.2016
ipaddress: 192.168.121.136
template: false
/Datacenters/Datacenter/vm/ub1404lts
powerstate: poweredOff
name: ub1404lts
hostname: --------
InstanceID: 503c08ca-e63e-60de-f04f-5fe543d07e0a
18%
05.02.2019
SalesAgility forked the SugarCRM project back in 2013, with a bold vision to deliver an enterprise-ready, 100 percent open source customer relationship management (CRM) system when the "commercial
18%
30.01.2020
region: eu-west-3
08 licensefile: license.lic
09 wholenet: 10.100.0.0/16
10 frontnet: 10.100.254.0/28
11 netmaskback: 17
12 backnet: "10.100.0.0/{{ netmaskback }}"
13 lnet: 10.0.2.0
18%
10.12.2023
)
The table presents some interesting information. You can think of the space efficiency as a percentage. For example, with four storage devices (N
= 4), RAID 0 is 100% space efficient (it’s always 100
18%
14.03.2018
risks, quantifying possible data loss and responding to attacks. Apache Spot [3] uses big data and modern ML components to improve the detection and analysis of security problems. Apache Spot 1.0 has been
18%
10.04.2015
, and the latest email in the Inbox.
As with Posteo, the basic Mailbox.org service costs EUR1 per month, which includes 2GB of storage, three aliases, and 100MB of storage for the office solution
18%
07.11.2011
#include
03 #endif
04 #include
05 int main() {
06 double a[1000000];
07 int i;
08 #pragma omp parallel for
09 for (i=0; i<1000000; i++) a[i]=i;
10 double sum = 0;
11
18%
02.02.2021
08 # Network information
09 network --device=bond0 --bondslaves=ens1f0,ens1f1 --bondopts=mode=802.3ad,miimon-100 --bootproto=dhcp --activate
10 network --hostname=server.cloud.internal
11 network
18%
21.03.2017
these concepts.
Listing 1: Starting Out with h5py
01 #!/home/laytonjb/anaconda2/bin/python
02
03 import h5py
04 import numpy as np
05
06 # ===================
07 # Main Python section
08
