Easy module installation with less human intervention.

Hi, Perl has something like ppm so that I can just use one command to download and install perl modules. But I don't find such thing in python. As shown on http://docs.python.org/install/index.html, it seems that I have to download the packages first unzip it then install it. I'm wondering if there is a better way to install python packages that require less human intervention. Thanks! NAME ppm - Perl Package Manager, version 4.14 SYNOPSIS Invoke the graphical user interface: ppm ppm gui Install, upgrade and remove packages: ppm install [--area <area>] [--force] <pkg> ppm install [--area <area>] [--force] <module> ppm install [--area <area>] <url> ppm install [--area <area>] <file>.ppmx ppm install [--area <area>] <file>.ppd ppm install [--area <area>] <num> ppm upgrade [--install] ppm upgrade <pkg> ppm upgrade <module> ppm remove [--area <area>] [--force] <pkg> -- Regards, Peng

You can try easy_install or pip. -=- Olivier 2012/1/21 Peng Yu <pengyu.ut@gmail.com>
Hi,
Perl has something like ppm so that I can just use one command to download and install perl modules. But I don't find such thing in python. As shown on http://docs.python.org/install/index.html, it seems that I have to download the packages first unzip it then install it. I'm wondering if there is a better way to install python packages that require less human intervention. Thanks!
NAME ppm - Perl Package Manager, version 4.14
SYNOPSIS Invoke the graphical user interface:
ppm ppm gui
Install, upgrade and remove packages:
ppm install [--area <area>] [--force] <pkg> ppm install [--area <area>] [--force] <module> ppm install [--area <area>] <url> ppm install [--area <area>] <file>.ppmx ppm install [--area <area>] <file>.ppd ppm install [--area <area>] <num> ppm upgrade [--install] ppm upgrade <pkg> ppm upgrade <module> ppm remove [--area <area>] [--force] <pkg>
-- Regards, Peng _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
participants (2)
-
Olivier Delalleau
-
Peng Yu