| #!/usr/bin/env python | |
| """ | |
| Install a package from your local pip download cache without having to touch | |
| the 'net at all. | |
| You'll need to be using a pip download cache; that is, you'll need the | |
| following in your ~/.pip/pip.cfg: | |
| [install] |
The goal of this example is to show how an existing C codebase for numerical computing (here c_code.c) can be wrapped in Cython to be exposed in Python.
The meat of the example is that the data is allocated in C, but exposed in Python without a copy using the PyArray_SimpleNewFromData numpy
| ### MATPLOTLIBRC FORMAT | |
| # This is a sample matplotlib configuration file - you can find a copy | |
| # of it on your system in | |
| # site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
| # there, please note that it will be overridden in your next install. | |
| # If you want to keep a permanent local copy that will not be | |
| # over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux | |
| # like systems) and C:\Documents and Settings\yourname\.matplotlib | |
| # (win32 systems). |
| echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc | |
| . ~/.bashrc | |
| mkdir ~/local | |
| mkdir ~/node-latest-install | |
| cd ~/node-latest-install | |
| curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1 | |
| ./configure --prefix=~/local | |
| make install # ok, fine, this step probably takes more than 30 seconds... | |
| curl https://www.npmjs.org/install.sh | sh |