How to install python modules without root access?

2019-01-01 08:06发布

I'm taking some university classes and have been given an 'instructional account', which is a school account I can ssh into to do work. I want to run my computationally intensive Numpy, matplotlib, scipy code on that machine, but I cannot install these modules because I am not a system administrator.

How can I do the installation?

标签: python numpy pip
7条回答
栀子花@的思念
2楼-- · 2019-01-01 08:18

Important question. The server I use (Ubuntu 12.04) had easy_install3 but not pip3. This is how I installed Pip and then other packages to my home folder

  1. Asked admin to install Ubuntu package python3-setuptools

  2. Installed pip

Like this:

 easy_install3 --prefix=$HOME/.local pip
 mkdir -p $HOME/.local/lib/python3.2/site-packages
 easy_install3 --prefix=$HOME/.local pip
  1. Add Pip (and other Python apps to path)

Like this:

PATH="$HOME/.local/bin:$PATH"
echo PATH="$HOME/.local/bin:$PATH" > $HOME/.profile
  1. Install Python package

like this

pip3 install --user httpie

# test httpie package
http httpbin.org
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流年柔荑漫光年
3楼-- · 2019-01-01 08:21

In most situations the best solution is to rely on the so-called "user site" location (see the PEP for details) by running:

pip install --user package_name

Below is a more "manual" way from my original answer, you do not need to read it if the above solution works for you.


With easy_install you can do:

easy_install --prefix=$HOME/local package_name

which will install into

$HOME/local/lib/pythonX.Y/site-packages

(the 'local' folder is a typical name many people use, but of course you may specify any folder you have permissions to write into).

You will need to manually create

$HOME/local/lib/pythonX.Y/site-packages

and add it to your PYTHONPATH environment variable (otherwise easy_install will complain -- btw run the command above once to find the correct value for X.Y).

If you are not using easy_install, look for a prefix option, most install scripts let you specify one.

With pip you can use:

pip install --install-option="--prefix=$HOME/local" package_name
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初与友歌
4楼-- · 2019-01-01 08:26

The best and easiest way is this command:

pip install --user package_name

http://www.lleess.com/2013/05/how-to-install-python-modules-without.html#.WQrgubyGOnc

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永恒的永恒
5楼-- · 2019-01-01 08:29

I use JuJu which basically allows to have a really tiny linux distribution (containing just the package manager) inside your $HOME/.juju directory.

It allows to have your custom system inside the home directory accessible via proot and, therefore, you can install any packages without root privileges. It will run properly to all the major linux distributions, the only limitation is that JuJu can run on linux kernel with minimum reccomended version 2.6.32.

For instance, after installed JuJu to install pip just type the following:

$>juju -f
(juju)$> pacman -S python-pip
(juju)> pip
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余生无你
6楼-- · 2019-01-01 08:31

No permissions to access nor install easy_install?

Then, you can create a python virtualenv (https://pypi.python.org/pypi/virtualenv) and install the package from this virtual environment.

Executing 3 commands in the shell will be enough:

$ curl -O https://raw.github.com/pypa/virtualenv/master/virtualenv.py
$ python virtualenv.py my_new_env
$ . my_new_env/bin/activate
(my_new_env)$ pip install package_name

Source and more info: https://virtualenv.pypa.io/en/latest/installation/

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大哥的爱人
7楼-- · 2019-01-01 08:31

You can run easy_install to install python packages in your home directory even without root access. There's a standard way to do this using site.USER_BASE which defaults to something like $HOME/.local or $HOME/Library/Python/2.7/bin and is included by default on the PYTHONPATH

To do this, create a .pydistutils.cfg in your home directory:

cat > $HOME/.pydistutils.cfg <<EOF
[install]
user=1
EOF

Now you can run easy_install without root privileges:

easy_install boto

Alternatively, this also lets you run pip without root access:

pip install boto

This works for me.

Source from Wesley Tanaka's blog : http://wtanaka.com/node/8095

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