18%
05.02.2023
are especially popular. A simple call to create a MySQL database would be:
gcloud sql instances create myinstance --database -version=MYSQL_8_0 --cpu=2 --memory=7680MB --region=europe-west3
The corresponding
18%
14.08.2017
-Agent: curl/7.51.0
08 > Accept: */*
09 >
10 < HTTP/1.1 200 OK
11 < Content-Type: application/json
12 < Content-Length: 382
13 < X-Content-Type-Options: nosniff
14 < Server: WEBrick/1.3.1 (Ruby/2.3.3
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%
03.08.2023
= 'The Catcher in the Rye';
UPDATE books SET price = price * 0.8 WHERE title = 'To Kill a Mockingbird';
COMMIT;
CockroachDB ensures that either both price updates are applied or neither of them are
18%
07.06.2019
--retry 3 --retry-delay 0 --retry-max-time 60 ${JENKINS_UC}/jenkins.war -o ${JENKINS_HOME}/jenkins.war
30 RUN for P in ${PLUGINS}; do curl -sSfL --connect-timeout 20 --retry 2 --retry-delay 0 --retry
18%
16.01.2013
$ starcluster help
StarCluster - (http://web.mit.edu/starcluster) (v. 0.93.3)
Software Tools for Academics and Researchers (STAR)
Please submit bug reports to starcluster@mit.edu
!!! ERROR - config file
18%
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
18%
13.07.2022
) [application/octet-stream]
Saving to: Rocky-8.6-x86_64-dvd1.iso
Rocky-8.6-x86_64-dvd1.iso 35%[===========> ] 3.74G 37.4MB/s eta 2m 45s
When you reconnected to the session, you didn’t specify
18%
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
17%
29.09.2020
storage by splitting up these files and putting them back together again later. When the user uploads a file to RADOS, the client breaks it down into several 4MB objects before uploading, which RADOS
