57%
09.01.2013
B (78.11% of total)
07 After compression: 1216.23 MiB (56.00% of total, 71.70% of de-duplicated)
08 Database size: 3.81 MiB (uncompressed)
09 (some values do not take into account not
57%
14.06.2017
example illustrating the change in file size:
$ ls -lsah FS_scan.csv
3.2M -rw-r--r-- 1 laytonjb laytonjb 3.2M 2014-06-09 20:31 FS_scan.csv
$ gzip -9 FS_scan.csv
$ ls -lsah FS_scan.csv.gz
268K
57%
14.08.2017
to compress data files. Listing 1 shows a quick example illustrating the change in file size.
Listing 1
Gzip Example
$ ls -lsah FS_scan.csv
3.2M -rw-r--r-- 1 laytonjb laytonjb 3.2M 2014-06-09 20
57%
29.09.2020
://en.wikipedia.org/wiki/ATX
ThinkPad T420: https://support.lenovo.com/us/en/solutions/pd015734/
16GB (2X8GB) RAM kit (204PIN SODIMM DDR3 SDRAM PC10600): https://www.amazon.com/gp/product/B00B2OT9HI/
250GB Samsung 850 EVO v
57%
04.11.2011
.
Listing 1: Running Many Commands at Once
01 $ cat commands
02 date
03 hostname
04 echo foo | md5sum
05
06 $ cat commands | parallel
07 Thu Jul 8 10:37:20 EST 2010
08 desktop‑machine
09 d3b07384d113edec49
57%
27.08.2014
.07% (4.61 GiB)
"84K READ" 2.05% (8.79 GiB)
"128K READ" 96.66% (414.41 GiB)
This heatmap can help you 'see' hot spots. It is adjusted to terminal size, so each square = 10.00 MiB
The
56%
11.06.2014
://munin-monitoring.org
Cacti: http://www.cacti.net
Ganglia: http://ganglia.sourceforge.net
Zabbix: http://www.zabbix.com
Zenoss Community: http://community.zenoss.org/
Observium: http://www.observium.org/
GKrellM
56%
04.12.2024
MOUNTPOINTS
sda 8:0 0 25G 0 disk
|-sda1 8:1 0 1M 0 part
|-sda2 8:2 0 25G 0 part /var/snap/firefox/common/host-hunspell
In my case, I also want to configure my client
56%
02.06.2020
install https://dl.google.com/coral/python/tflite_runtime-2.1.0-cp37-cp37m-linux_armv7l.whl
Then, executing the model and making a prediction with the Python API is quite easy. Because I am working
56%
01.06.2024
&& apt install wget
wget https://download.docker.com/linux/static/stable/x86_64/docker-18.09.0.tgz
tar -xvf docker-18.09.0.tgz
cd docker
cp docker /usr/bin
Now, interact directly with the Docker daemon
