Graphite does two things:
- Store numeric time-series data
- Render graphs of this data on demand
What Graphite does not do is collect data for you, however there are some tools out there that know
Graphite does two things:
What Graphite does not do is collect data for you, however there are some tools out there that know
# download latest libevent2 and tmux sources, and extract them somewhere | |
# | |
# at the time of writing: | |
# https://github.com/downloads/libevent/libevent/libevent-2.0.21-stable.tar.gz | |
# http://sourceforge.net/projects/tmux/files/latest/download?source=files | |
# | |
# don't compile tools as root, just don't do it. | |
# install deps |
This playbook has been removed as it is now very outdated. |
## Configure eth0 | |
# | |
# vi /etc/sysconfig/network-scripts/ifcfg-eth0 | |
DEVICE="eth0" | |
NM_CONTROLLED="yes" | |
ONBOOT=yes | |
HWADDR=A4:BA:DB:37:F1:04 | |
TYPE=Ethernet | |
BOOTPROTO=static |
GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.
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