<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data on Pavan Yara</title><link>https://pavanyara.com/tags/data/</link><description>Recent content in Data on Pavan Yara</description><generator>Hugo -- gohugo.io</generator><language>en-US</language><managingEditor>pavan.yara@gmail.com (Pavan Yara)</managingEditor><webMaster>pavan.yara@gmail.com (Pavan Yara)</webMaster><copyright>Pavan Yara</copyright><lastBuildDate>Wed, 18 Sep 2019 11:35:12 +0530</lastBuildDate><atom:link href="https://pavanyara.com/tags/data/index.xml" rel="self" type="application/rss+xml"/><item><title>Tool: AP DataKit</title><link>https://pavanyara.com/blog/datakit/</link><pubDate>Wed, 18 Sep 2019 11:35:12 +0530</pubDate><author>pavan.yara@gmail.com (Pavan Yara)</author><guid>https://pavanyara.com/blog/datakit/</guid><description>&lt;p&gt;AP Datakit is an open source CLI tool for better structuring and managing&#10;projects. It helps to standardize and share work with your team members, and&#10;accessible for future references. All your project parts including data, code,&#10;configuration and documentation are cleanly separated using AP DataKit.&lt;/p&gt;&#10;&lt;p&gt;It has a core product framework along with plugins to manage storage and&#10;updating of data files. Though it is written in Python, it can support any&#10;language including Javascript, Ruby, HTML, CSS etc, through &lt;a href="https://github.com/audreyr/cookiecutter"&gt;CookieCutter&lt;/a&gt;&#10;templates.&lt;/p&gt;</description><content:encoded><![CDATA[<p>AP Datakit is an open source CLI tool for better structuring and managing
projects. It helps to standardize and share work with your team members, and
accessible for future references. All your project parts including data, code,
configuration and documentation are cleanly separated using AP DataKit.</p>
<p>It has a core product framework along with plugins to manage storage and
updating of data files. Though it is written in Python, it can support any
language including Javascript, Ruby, HTML, CSS etc, through <a href="https://github.com/audreyr/cookiecutter">CookieCutter</a>
templates.</p>
<p>Link: <a href="http://datakit.ap.org">http://datakit.ap.org</a></p>
]]></content:encoded></item></channel></rss>