As you all may know pip is a python package manager and everyone has worked with it to install python libs.
Some of the commands with pip that you may not know about it:
- freeze: output installed packages in requirements format. (you can grep and search for a specific package):
- list: list installed packages:
- show: Show information about installed packages:
Important note for devops: pip by default install a stable version of the package. If you need to install an unstable version of the package (latest version) use
If you want to manage your custom python repository package versions (RC, Alpha, Beta, Stable, etc) add
The important part is
To see list of
https://pypi.python.org/pypi?%3Aaction=list_classifiers
Now you can give versioning like
To see different classifiers see the link
https://pypi.python.org/pypi/Django
#django #pip #pre_release #freeze #package #python #devops
Some of the commands with pip that you may not know about it:
- freeze: output installed packages in requirements format. (you can grep and search for a specific package):
rply==0.7.4
rsa==3.2.3
sasl==0.2.1
scipy==0.13.0b1
- list: list installed packages:
tcpwatch (1.3.1)
telebot (0.0.3)
thrift (0.9.3)
- show: Show information about installed packages:
$ pip show pandas
Name: pandas
Version: 0.17.0
Summary: Powerful data structures for data analysis, time series,and statistics
Home-page: http://pandas.pydata.org
Author: The PyData Development Team
Author-email: pydata@googlegroups.com
License: BSD
Location: /Library/Python/2.7/site-packages
Requires: numpy, python-dateutil, pytz
Important note for devops: pip by default install a stable version of the package. If you need to install an unstable version of the package (latest version) use
--pre flag to install pre-release package.If you want to manage your custom python repository package versions (RC, Alpha, Beta, Stable, etc) add
classifiers to your setup.py script like below:setup(...,
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: Console',
'Environment :: Web Environment',
'Intended Audience :: End Users/Desktop',
'Intended Audience :: Developers',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: Python Software Foundation License',
'Operating System :: MacOS :: MacOS X',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Programming Language :: Python',
'Topic :: Communications :: Email',
'Topic :: Office/Business',
'Topic :: Software Development :: Bug Tracking',
],
)
The important part is
Development Status :: 4 - Beta, which for stable release you would use Development Status :: 5 - Production/Stable.To see list of
pypi Development Status values read from the below link:https://pypi.python.org/pypi?%3Aaction=list_classifiers
Now you can give versioning like
Django 2.0b1 (for pre release) and Django 1.11.6 for stable release.To see different classifiers see the link
Django link below to learn more:https://pypi.python.org/pypi/Django
#django #pip #pre_release #freeze #package #python #devops
PART-1: Basic docker commands
* Let's suppose you have built an image.
Display list of your docker images:
Output:
As you can see image name is
To run the image:
The above command runs the docker image. The newly created processs by
host, and the second port
Now to see list of your containers use
From here you can see the ID of your container which is equal to
ontainer (login into container):
if you want to connect to the stdout of your container use
*** IF you are attached to a container and press ^c afterward, the container will be stopped.
If you want to stop a container:
It prints out container id
#docker #commands #docker_part1 #basic #container #devops
* Let's suppose you have built an image.
Display list of your docker images:
docker images
Output:
REPOSITORY TAG IMAGE ID CREATED SIZE
py_app latest baa470dc5609 3 weeks ago 591MB
As you can see image name is
py_app.To run the image:
docker run -it -d -p 8085:8084 py_app
The above command runs the docker image. The newly created processs by
docker run from your py_app image is called a container. -d runs the image as a daemon and print the container id to your console:$ docker run -it -d -p 8085:8084 py_app
d612ffbd9d560158f1c64997f9a8877243cdf4288c11010298df80b10cfaff5e
-p exposes the port on your docker file to the port on your host machine. The first port 8085 is the port on yourhost, and the second port
8084 is the port on your docker file.Now to see list of your containers use
docker ps:docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
d612ffbd9d56 py_app "python app.py" 10 minutes ago Up 10 minutes goofy_hopper
From here you can see the ID of your container which is equal to
d612ffbd9d56. IF you want to have a shell on your container (login into container):
docker exec -it d612ffbd9d56 bash
root@moby:/app#
if you want to connect to the stdout of your container use
attach, it does not necessary give you a shell:docker attach d612ffbd9d56
*** IF you are attached to a container and press ^c afterward, the container will be stopped.
If you want to stop a container:
$ docker stop d612ffbd9d56
d612ffbd9d56
It prints out container id
d612ffbd9d56 and stop the container. If you enter docker ps you should not see the container.#docker #commands #docker_part1 #basic #container #devops
https://xiaoxiaoke.wordpress.com/2015/10/06/changing-java-security-restriction-for-network-connect-error-issue-in-kvm/
#linux #devops #sysadmin #kvm #hp
#linux #devops #sysadmin #kvm #hp
Ke Xu | Geek World
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