This will work with either networkd or NetworkManager as a resolver. In fact, this is the only way to do bridged KVM (libvirtd) networking with NetworkManager.
If you're using NetworkManager (on a desktop or laptop, for example) on your KVM host, follow these instructions to set up a bridge interface.
Once you have the host bridge set up, proceed as follows:
| #!/usr/bin/env python | |
| """ Short description of this Python module. | |
| Longer description of this module. | |
| This program is free software: you can redistribute it and/or modify it under | |
| the terms of the GNU General Public License as published by the Free Software | |
| Foundation, either version 3 of the License, or (at your option) any later | |
| version. |
| Install TensorFlow (CPU), Keras, and some other tools to a new anaconda environment. | |
| Open Anaconda Prompt | |
| conda create --name tensorflow35 python=3.5 | |
| conda activate tensorflow35 | |
| conda install jupyter | |
| conda install scipy | |
| conda install spyder | |
| pip install tensorflow |
| Hadoop File System Commands | |
| Syntax Overview | |
| The basic syntax of HDFS commands is as follows: | |
| $ hadoop fs -command [extra arguments] | |
| For example: | |
| $ hadoop fs -ls |