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30.05.2021
, which the programmer specifies in terms of one or more cases. This method is superficially similar to a switch statement in C, Java, or JavaScript, but far more powerful.
Python 3.10 is now also set ... A controversial change is taking place in Python version 3.10 known mainly from functional languages: pattern matching. ... Pattern matching dispute in Python 3.10
19%
20.03.2014
to the minimum file allocation size a filesystem manages and effectively represent the smallest possible disk allocation for a file. (A smaller file would be padded with slack space to that minimum allocation
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31.10.2025
kernel
sles:~ # grep crash /proc/cmdline
root=/dev/disk/by-uuid/10a83ffe-5a9f-48a2-b8cb-551c2cc6b42d resume=/dev/sda3 splash=silent text showopts crashkernel=128
sles:~ # /etc/init.d/boot.kdump status
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25.03.2021
.io/hostname: "node2"
dataRaidGroups:
- blockDevices:
- blockDeviceName: "blockdevice-3f4e3fea1ee6b86ca85d2cde0f132007"
- blockDeviceName: "blockdevice-db84a74a39c0a1902fced6663652118e
19%
22.12.2017
_ext, build commands --fcompiler options
running build_src
build_src
building extension "hw" sources
f2py options: []
f2py:> /tmp/tmpKa8a4p/src.linux-x86_64-2.7/hwmodule.c
creating /tmp/tmpKa8a4p/src.linux-x86
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01.06.2024
Running kube-proxy 1 5bf2de2a3af3c kube-proxy-b65c9
The mitigations for the above technique could be used to ensure that no containers mount docker
19%
20.03.2014
dictionary:
Series({'a': 1, 'b': 2, 'c': 3})
In this use case, too, you can pass in a list separately as an index argument so that only those elements that exist in the index make their way from
19%
12.03.2014
]})
An optional index
list determines the indices, as for a Series.
In: DataFrame({'a': [1, 2], 'b': [3, 4]}, columns=['a', 'c'], index=['top', 'bottom'])
Out:
a c
top 1 NaN
bottom 2 NaN
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01.08.2019
exists, renaming the old one with ID sha256: f09fe80eb0e75e97b04b9dfb065ac3fda37a8fac0161f42fca1e6fe4d0977c80 to empty string
Loaded image: nginx:latest
With the docker images command, you can see
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
