semvec/pypi-packages huggingface dataset:
jsonf 1.0
Tiny tool to pretty print JSON documents on the console.
License: BSD

Description
===========

A simple console JSON formatter.


Reads any JSON from stdin and returns a pretty printed conversion to stdout.

Installation
============

.. note::
    This package should be fully compatible with ``virtualenv``

You can install directly using ``pip`` or ``easy_install``::

    pip install jsonf

or, respectively::

    easy_install jsonf

Installation from source
------------------------

- Download the source tarball from http://pypi.python.org/pypi or
  https://github.com/exhuma/braindump/tree/master/jsonformat

- Untar the file::

        tar xf jsonf-1.0.tar.gz

- Install it::

        cd jsonf-1.0 && python setup.py install
django-buildhost 0.0.2b0
UNKNOWN
License: BSD

=====
=====



Initialize host
---------------

user.init_home_env:8081



Add environment
---------------

fab root.create_user:<USERNAME>,[<PASSWORD>]

fab -H <USERNAME>@<HOST> user.init_home_env:<PORT>

fab -H <USERNAME>@<HOST> system.sqlite system.python system.apache
py-sparkblocks 1.0.1
Util for generating unicode text based sparkline bargraphs from lists of numbers
License: BSD

py-sparkblocks
==============

About sparkblocks
-----------------
``sparkblocks`` is a Python module that provides a single function, ``spark()`` which takes a list of numbers (ints or floats) and outputs a string containing a unicode character (9601-9608) sparklines bargraph representation of the numbers.

It is based on the `spark tool <https://github.com/holman/spark>`_ by Zach Holman, and the original `Twitter sparkline generator <http://www.datadrivenconsulting.com/2010/06/twitter-sparkline-generator/>`_ by Alex Kerin.

Installation
------------
The library can be installed from PyPi using ``pip``::

    pip install py-sparkblocks

Or cloned from `Github <http://www.github.com/>`_ using ``git``::

    git clone git://github.com/1stvamp/py-sparkblocks.git
    cd py-sparkblocks
    python setup.py install

Usage
-----

    >>> from sparkblocks import spark
    >>> print(spark([1, 2, 0.2, 3.1, 2]))
    ▂▅▁▇▅
coopr.doc 1.3.2
Coopr's online books and documentation
License: BSD
Keywords: optimization

These are general notes to writing documentation
------------------------------------------------

Authorship

. Edit the *-docinfo.xml to add/edit authorship information.


AsciiDoc Documentation

. AsciiDoc CheatSheet
  http://powerman.name/doc/asciidoc

. AsciiDoc Homepage
  http://www.methods.co.nz/asciidoc/index.html