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31.10.2025
disks. They dubbed their system RAID (Redundant Array of Inexpensive Disks).
The original publication http://1 described RAID levels 1 through 5. Today, we also have RAID levels 0 and 6 and still higher
27%
28.07.2025
defining a loop. When unrolling a loop, the loop body is repeated a number of times and the loop iteration count is reduced or entirely eliminated, as in this simple case:
for (i=0; i<4; i++) {
c[i] = a
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31.10.2025
allows you to define a
18 # character to toggle this mode off and on.
19 set force_conservative 0 ;# set to 1 to force conservative mode even if
20 ;# script wasn't run
27%
04.06.2025
The AlmaLinux OS Foundation has announced the release of AlmaLinux OS 10.0 (codenamed Purple Lion), which focuses on improving usability while maintaining compatibility.
“With an unwavering eye
27%
31.10.2025
based on Windows.
Bye-Bye Windows
Although the Red Hat developers ported all the components of the management component, RHEV-M, from C# to Java in RHEV 3.0 [1], use of the Administrator Console
27%
31.10.2025
the AGPLv3 and, in the current version 0.6.2, supports VNC and RDP – although with limited functionality in some cases. For example, you cannot transmit audio data or connect network drives over RDP
27%
31.10.2025
If you are looking for more performance or more security, RAID storage is always a useful solution. Whereas the non-redundant RAID 0 speeds up data access, RAID 1 duplicates your data and therefore
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07.10.2025
or at the Linux command line:
curl --location --output /usr/bin/goss https://github.com/goss-org/goss/releases/download/v0.4.9/goss-linux-amd64
chmod +x /usr/bin/goss
The process is similar in Windows, where
27%
03.12.2024
Flow, Microsoft Cognitive Toolkit (commonly referred to as CNTK), Theano, and PlaidML. By version 2.4, Keras only supported TensorFlow. In version 3.0 and subsequent versions, Keras once again supported multiple
27%
26.01.2025
Flow, Microsoft Cognitive Toolkit (commonly referred to as CNTK), Theano, and PlaidML. By version 2.4, Keras only supported TensorFlow. In version 3.0 and subsequent versions, Keras once again supported multiple
