Results 4,271–4,280 of 5,623 for /devel/.(0.004 seconds)
Small library for keeping your version up-to-date easily everywhere
A small library for keeping your version up-to-date easily & everywhere.
The pain of having to update your setup.py, your Sphinx conf.py, your
__init__.py & everything else on every release of your Python package sucks.
By putting your version number in a top-level VERSION file & using this
library, you can cut duplication & tedious manual work without having to lean
on crazy import hacks.
Inspired by crazy discussion with George Hickman (ghickman) at PyCon 2013.
Module converting between Julian dates and calendar dates
Module converting between Julian dates and calendar dates.
Manage Jenkins jobs with YAML
Jenkins Job Builder takes simple descriptions of Jenkins jobs in YAML or JSON
format and uses them to configure Jenkins. You can keep your job descriptions
in human readable text format in a version control system to make changes and
auditing easier. It also has a flexible template system, so creating many
similarly configured jobs is easy.
Date-time and time zone handling in Elixir
Calendar is a date and time library for Elixir.
The Olson/Eggert "Time Zone Database" is used. Years 1 through 9999
are supported.
Mustache template engine for Erlang
Mustache template engine for Erlang/OTP.
Library to ease use of the JIRA 5 REST APIs
a Python library designed to ease the use of the JIRA REST API. Some basic
support for the GreenHopper REST API also exists.
JSON Matching Expressions
JMESPath (pronounced "jaymz path") allows you to declaratively specify how to
extract elements from a JSON document.
Lightweight pipelining using Python functions as jobs
Joblib is a set of tools to provide lightweight pipelining in Python. In
particular, joblib offers:
* transparent disk-caching of the output values and lazy re-evaluation
* easy simple parallel computing
* logging and tracing of the execution
Joblib is optimized to be fast and robust in particular on large data and has
specific optimizations for numpy arrays.
JavaScript minifier written in Python
Python JavaScript minifier.
Python implementation of a JSON (http//:json.org) reader/writer
json-py is a simple, pure-python implementation of a JSON (http://json.org)
reader and writer. JSON is used to exchange data across systems written in
various languages. It is particularly suited to dynamic languages like Python,
Javascript, etc. JSON = Javascript Object Notation implies it is suitable for
AJAX applications that exchange data from servers to Javascript applications
running on web browser clients.