[
https://issues.apache.org/jira/browse/ARROW-1872?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16328217#comment-16328217
]
ASF GitHub Bot commented on ARROW-1872:
---------------------------------------
wesm commented on a change in pull request #1483: ARROW-1872: [Website] Minor
edits and addition of YAML for versions
URL: https://github.com/apache/arrow/pull/1483#discussion_r161946280
##########
File path: site/index.html
##########
@@ -1,74 +1,69 @@
---
layout: default
---
- <div class="container">
- <div class="jumbotron">
+<div class="container">
+ <div class="jumbotron">
<h1>Apache Arrow</h1>
<p class="lead">Powering Columnar In-Memory Analytics</p>
<p>
- <a class="btn btn-lg btn-success"
href="mailto:[email protected]"; role="button">Join Mailing List</a>
- <a class="btn btn-lg btn-primary" href="{{ site.baseurl }}/install/"
role="button">Install (0.8.0 Release - December 18, 2017)</a>
+ <a class="btn btn-lg btn-success"
href="mailto:[email protected]"; role="button">Join Mailing List</a>
+ <a class="btn btn-lg btn-primary" href="{{ site.baseurl
}}/install/" role="button">Install ({{site.data.versions['current'].number}}
Release - {{site.data.versions['current'].date}})</a>
</p>
- </div>
- <h4><a href="{{ site.baseurl }}/blog/"><strong>See Latest
News</strong></a></h4>
- <div class="row">
+ </div>
+ <h4><a href="{{ site.baseurl }}/blog/"><strong>See Latest
News</strong></a></h4>
+ <div class="row">
<div class="col-lg-4">
- <h2>Fast</h2>
- <p>Apache Arrow™ enables execution engines to take advantage of
- the latest SIMD (Single input multiple data) operations included in modern
- processors, for native vectorized optimization of analytical data
- processing. Columnar layout is optimized for data locality for better
- performance on modern hardware like CPUs and GPUs.</p>
+ <p>Apache Arrow is an open source development platform for
columnar in-memory data structures and processing. It defines a
language-independent physical memory layout, enabling zero-copy,
zero-deserialization interchange of flat and nested columnar data amongst a
variety of systems such as Python, R, Apache Spark, ODBC protocols, and
proprietary systems that utilize the open source components.</p>
Review comment:
We'll need to do a little bit of work on this, as this isn't the top-level
pitch that was discussed most recently on the dev@ mailing list.
Here was that pitch
> Apache Arrow is a cross-language development platform for in-memory data.
It
specifies a standardized language-independent columnar memory format for flat
and hierarchical data, organized for efficient analytic operations on modern
hardware. It also provides computational libraries and zero-copy streaming
messaging and interprocess communication. Languages currently supported
include
C, C++, Java, JavaScript, Python, and Ruby.
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
> [Website] Populate hard-coded fields for current release from a YAML file
> -------------------------------------------------------------------------
>
> Key: ARROW-1872
> URL: https://issues.apache.org/jira/browse/ARROW-1872
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Website
> Reporter: Wes McKinney
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> Jekyll supports interpolating data from YAML files when generating the static
> site. This will simplify updating the website by not having to edit
> hard-coded fields in Markdown or HTML files
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
