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redis-doc
Shell2011–2018
redis / redis-doc · Archived

redis-doc

Redis documentation source code for markdown and metadata files, conversion scripts, and so forth

Data & DatabasesProductivityLearning & Reference
Explore on GitHubRead Hacker News discussions
3Distinct people
3Mentions
0Explicit recommenders
2.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Redis documentation source code for markdown and metadata files, conversion scripts, and so forth

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year3 dated mentions

Observed mentions: 2011-10-13 14:40:17 UTC to 2018-10-30 13:38:06 UTC.

012011-01-01 00:00:00 UTC to 2012-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20112012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20142015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20112011-01-01 00:00:00 UTC2012-01-01 00:00:00 UTC110
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC000
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC000
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC000
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC000
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC101
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101

What Hacker News says

3 sources
phillc73·Feb 24, 2017
I guess I never found the <- syntax odd, because that's all I know. Not using = for assignment kind of makes sense to me, as equals has mathematical connotations. I always thought there were plenty of options for parallel and high(er) performance computing with R.[1] Data sets which don't entirely fit in memory can be stored pretty much anywhere and queried. Simplest would be an SQLite database. Formats like Feather[2] and fst[3] are also really useful. There are multiple R interfaces for Redis.[4] R has a library to interact with the Tensorflow API[5] and many other machine learning services. "Multiple legacy object semantics" doesn't really mean a lot to me. Knowing nothing else, that's just the way R is, plus I don't think there are that many really strange ways of doing things. Mostly there's a discernable pattern across functions. So
Read the rest
unding like a fanboy sure, but as I said I just don't know anything else and while Julia sounds nice (speed, way of the future etc) it doesn't have the breadth of library support, stability or community that R does yet and I don't see a compelling reason for me personally to spend time learning Python. Not saying R is best to the exclusion of all else, but for data analysis, generalised scripting and some web based reports/reactive apps, I can't find a compelling reason to switch, and I guess don't really understand the criticism of the language. [1] https://cran.r-project.org/web/views/HighPerformanceComputin... [2] https://github.com/wesm/feather [3] https://github.com/fstpackage/fst [4] https://github.com/antirez/redis-doc/pull/798/files [5] https://github.com/rstudio/tensorflow/blob/master/README.md
In Ask HN: Learn Python, R? Or something else?

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