In the middle of the desert you can say anything you want
Wann vs wenn: Wann has nothing to do with if, it’s a question asking for a point of time. Wenn is closer to “if”, but it’s also a translation for “when”.
If we can say at what point time instead of when, then we need to use wann.
Wann [=at what time/when] kommt der Bus? \ Bis wann musst du arbeiten? \ Thomas fragt Maria, wann genau sie nach Hause kommt.
On the other hand, \ Ich gehe nach Hause wenn[!= at what time! just the “when” closer to “if”] ich fertig bin.
A wann-clause is ALWAYS functioning as the object of the verb.. If I can replace the clause with a thing, then it’s wann.\ Wenn answers to “at what time”, we can basically replace it with “at 3 am”.
When I have finished work, I will call you and tell you when I will be at home.\ When I have finished work, I will call you and tell you at what point in time I will be at home.\ Wenn ich mit der Arbeit fertig bin, rufe ich dich an und sage dir, wann ich zuhause bin.\ At 3 I’ll call you and tell you this thing.
$ git reset --soft HEAD~1 resets to last commit leaving all the changes on disc, but uncommitted. \
$ git reset --hard 0ad5a7a6 returns to any previous version.
Here, and it’s excellent. I should actually learn git in a normal systematic way. Additionally, what to do when your .gitignore is ignored by git@SO.
Busy person patterns as linked on HN Testosterone seems to have different effects than the stereotypes say, and road/roid rage is actually caused by estrogen spikes.
This eggs inside avocado recipe is very interesting. Will try tomorrow. Also this avocado hummus recipe.
d4b 33% Sun 07 Apr 2019 04:24:36 PM CEST d4b 33% Sun 07 Apr 2019 04:26:35 PM CEST d4b 56% Sun 07 Apr 2019 04:28:28 PM CEST d4b 61% Sun 07 Apr 2019 04:30:24 PM CEST d4b 28% Sun 07 Apr 2019 04:32:21 PM CEST d4b 44% Sun 07 Apr 2019 04:34:27 PM CEST d4b 22% Sun 07 Apr 2019 04:36:19 PM CEST d4b 39% Sun 07 Apr 2019 04:38:14 PM CEST
“Wherever you are, make sure you’re there.” — Dan Sullivan
nltk.download() downloads everything needed.
nltk.word_tokenize('aoethnsu') returns the tokens. From [https://medium.com/@gianpaul.r/tokenization-and-parts-of-speech-pos-tagging-in-pythons-nltk-library-2d30f70af13b](This article). For parts of speech it’s nltk.pos_tag(tokens).
The tokenizer for twitter works better for URLs (of course). Interestingly it sees URLs as NN. And - this is actually fascinating - smileys get tokenized differently!
('morning', 'NN'),
('✋', 'NN'),
('🏻', 'NNP'),
EDIT: nltk.tokenize.casual might be just like the above, but better!
EDIT: I have a column with the POS of the tweets! How do I classify it with its varying length? How can I use the particular emojis as another feature?
POS + individual smileys might be enough for it to generalize! TODO test TODO: Maybe first do some much more basic feature engineering with capitalization and other features mentioned here:
Word Count of the documents – total number of words in the documents
Character Count of the documents – total number of characters in the documents
Average Word Density of the documents – average length of the words used in the documents
Puncutation Count in the Complete Essay – total number of punctuation marks in the documents
Upper Case Count in the Complete Essay – total number of upper count words in the documents
Title Word Count in the Complete Essay – total number of proper case (title) words in the documents
Frequency distribution of Part of Speech Tags:
Noun Count
Verb Count
Adjective Count
Adverb Count
Pronoun Count
textminingonline.com has nice resources on topic which would be very interesting to skim through! Additionally flair is a very interesting library not to reinvent the wheel, even though reinventing the wheel would be the entire point of a bachelor’s thesis.
This could work as a general high-levent intro into NLP? Also this.
Edit .i3/ to create the multiple scratchpads at startup and put them automatically where I want them – second answer is a good example.
450 cpm 97% d4b 72% Fri 05 Apr 2019 07:03:22 PM CEST d4b 50% Fri 05 Apr 2019 07:05:21 PM CEST d4b 39% Fri 05 Apr 2019 07:07:23 PM CEST d4b 44% Fri 05 Apr 2019 07:09:19 PM CEST d4b 33% Fri 05 Apr 2019 07:11:17 PM CEST d3b 79% Fri 05 Apr 2019 07:13:08 PM CEST ! d3b 71% Fri 05 Apr 2019 07:14:44 PM CEST ! d3b 86% Fri 05 Apr 2019 07:16:21 PM CEST ! d4b 44% Fri 05 Apr 2019 07:18:17 PM CEST d4b 22% Fri 05 Apr 2019 07:20:13 PM CEST d4b 28% Fri 05 Apr 2019 07:22:41 PM CEST d4b 00% Fri 05 Apr 2019 07:24:46 PM CEST
I just discovered didoesdigital.com, which is absolutely excellent on all levels. I’m missing a way to categorize everything I see there.
I should/could make things-I’m-learning pages with links and checklist for things I’m doing/learning. I’m not quite sure what should it look like, but it would definitely be something Jekyll-like. I think I’m slowly going in the direction of Steve Wolfram’s dashboard. Or at least a different vim in a different floating window that opens with another keystroke, i3 would make it easy to do that. In general I need a much better system to track the things I’m learning or reading. Polarized goes in the right direction. And I feel my links wiki will stay just that – a links wiki. Unless I make a seamless interface to it, I don’t really like it for actual knowledge management, even though it’s the absolute best I have until now.
And I must not fall in my typical error about sharpening the saw more that actually cutting trees, even though sharpening the saw is a really pleasant thing to do for me.
EDIT: Just created it at here, we’ll see what happens. I can imagine a dashboard based on it, and some kind of integration for task/timewarrior. Probably something ncurses-based in python?
This is the application - in general I find the idea really inspiring. I could imagine it on a touchscreen somewhere, or at least on a second desktop. Is it conceptually different from Nomie? Can I add just add another “trickle” board?
Added at the end ./commit.sh, which is a small file with git commit, so now it gets backed up to github automatically every time I deploy a new version on the server.
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Tasks tagged +next are now underlined.
date -s 13:17:50 also works. It’s more simple than I remembered.
removed border around all windows, we’ll see how I live with it and whether I need it. In work mode it might get confused with similar windows, in play mode it shouldn’t matter. We’ll see.
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455 cpm 98.3%
Anki’s manual says a lot about importing raw cards – and it’s much easier and more flexible to do this than I thought. I might drop anki-vim completely, or write something more minimalistic.
Decided to take a look again at my Bachelor’s thesis and do a nice rewrite in Python3 of the main code.
The date command can take STRINGS, which as mentioned in the man pages can be quite free-form. I moved my system clock back 1h with sudo date -s "1 hour ago". Wow.
For the first time got 100% on D3B! And in general even though the results aren’t the most important thing in D3B they do actually motivate quite a lot. Keeping records and gamification for the win!
d3b 64% Mon 25 Mar 2019 11:43:46 AM CET
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Is a python module to save secrets.
python -m keyring [get/set] for help.
To be able to change backlight.
sudo gpasswd -a sh video
clight -b radeon_bl0 --day-temp=6000 --night-temp=2000 would be nice, but sadly my webcam is covered. But it might be a nice replacement for redshift, sometime.
hide_edge_borders both #<none|vertical|horizontal|both>
This tutorial and extension could separate about 30% of the pictures with the default settings. Margins (and margins to the sides of the image!) are important.
is done by putting the .scm file to /usr/share/gimp/2.0/scripts/
This tutorial is freaking awesome.
Given the number of images I was dealing with manually configuring each one was not an option. What I wanted was a service that would, given my image collection, just print me a photo album of approx 6x4 images, in chronological order, two per page, with a caption below each detailing the image file name and the date taken.
It provides a .tex album file and a Python2 file which reads the Exif data and creates a photos.tex which gets included in the main album file.
scanimage (SANE) is a “a library and a command-line tool to use scanners”.
sudo scanimage -L to see the list of scanners, then to scan (for me also with sudo for some reason):
sudo scanimage --device "xerox_mfp:libusb:002:004" --format=png > name.png
Added a date format to my command line alias:
alias le="ledger -f ~/p/f/l/ledger.txt --strict --date-format '%Y/%m/%d'" for my date formats.
Also to represent bought currencies, I think the way to do it is:
2019/02/25 Exchanged 100$ for 74.81 at XXX
Assets:Cash:Wallet E74.91 @ $100
Assets:Cash:Fund:USD
* It would be interesting to do an implementation of [this xkcd](https://xkcd.com/2112/) using data from Twitter with 'intensity' defined as 'more or less interaction that the norm for this user'
To exclude tasks of a certain project, the syntax for the filter is project.not:projectname.
Also added a new report for tasks which will never be finished – anki, cleaning, basic org etc., but that I still want to track with timewarrior. t m now returns me all such tasks.
I find myself grepping through the dict.cc raw file, I might build a script to do that for me. But I often need to find a word with the condition that it’s the first thing on a line, instead as partof a bigger sentence.
^ helps. /^Dru gives me the lines which start with “Dru”.