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python-excel
xlrd
Python2012–2017
python-excel / xlrd

xlrd

Please use openpyxl where you can...

4Distinct people
4Mentions
0Explicit recommenders
2.2KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Please use openpyxl where you can...

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, 5:04:57 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 year4 dated mentions

Observed mentions: 2012-12-18 14:19:32 UTC to 2017-03-07 20:24:23 UTC.

012012-01-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20122013-01-01 00:00:00 UTC to 2014-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2014-01-01 00:00:00 UTC to 2015-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 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 comments2017

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
20122012-01-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
20132013-01-01 00:00:00 UTC2014-01-01 00:00:00 UTC101
20142014-01-01 00:00:00 UTC2015-01-01 00:00:00 UTC101
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

What Hacker News says

1 sources
I learned Ruby and Ruby on Rails much faster than I had any right to, when my new job in NYC required it. I practiced not by writing Ruby on the job, but writing Ruby to scrape Craigslist apartment listings and feeding them into a spreadsheet. I started teaching myself computer programming in 2011/2012: I bought a bunch of Head First books published by O'Reilly, watched the entry-level CS video lectures that Stanford provided for free, participated in the first few Udacity courses, and I tried a couple Coursera classes. But I think I learned the most (in the shortest amount of time) when I went through your online book, 'The Bastards Book of Ruby'[0] I loved the real-world examples you used: fetching Tweets through the Twitter API, web scraping with Nokogiri, and manipulating images with ImageMagick/RMagick are a few that stick out to me
Read the rest
. I'm sure you're doing great things at Stanford but I'm also confident that you could come out with a new book (covering the topics you spoke of above) that would help motivate people who are on the fence on whether or not they should start/continue learning computer programming. I'd be happy to collaborate on something but I would argue that Python would be a better language to use than Ruby. Here are some of the topics I'd like to share with people (which I've found to be useful in my career/side-projects): reading data from CSV/Excel files (xlrd[1]), fetching data from APIs (requests[2]), web scraping (BeautifulSoup[3], Selenium[4]), connecting to a SQL database within a Python script (psycopg[4]), complex mathematical computations (numpy), and downloading videos/metadata from YouTube (youtube-dl[6]) are a few that come to mind. [0] http://ruby.bastardsbook.com/ [1] https://github.com/python-excel/xlrd [2] http://docs.python-requests.org/en/master/ [3] https://www.crummy.com/software/BeautifulSoup/ [4] http://selenium-python.readthedocs.io/ [5] http://initd.org/psycopg/ [6] http://www.numpy.org/ [7] https://rg3.github.io/youtube-dl/
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