Software
poultry
| documentation: | http://poultry.readthedocs.org/en/latest/ |
|---|---|
| code: | https://github.com/dimazest/poultry |
| pypi: | https://pypi.python.org/pypi/poultry |
Poultry is a tweet collection manager. With it I've collected the London Olympics tweets. Also, it easily gathered tweets about the major European music festivals.
google-ngram-downloader
| code: | https://github.com/dimazest/google-ngram-downloader |
|---|---|
| pypi: | https://pypi.python.org/pypi/google-ngram-downloader |
An easy way to access ngram counts in a streaming fashion:
>>> from google_ngram_downloader import readline_google_store
>>>
>>> fname, url, records = next(readline_google_store(ngram_len=5))
>>> fname
'googlebooks-eng-all-5gram-20120701-0.gz'
>>> url
'http://storage.googleapis.com/books/ngrams/books/googlebooks-eng-all-5gram-20120701-0.gz'
>>> next(records)
Record(ngram=u'0 " A most useful', year=1860, match_count=1, volume_count=1)
turing-machine
| code: | https://github.com/dimazest/turing_machine |
|---|---|
| pypi: | https://pypi.python.org/pypi/turing_machine |
| notebook: | http://nbviewer.ipython.org/github/dimazest/turing_machine/blob/master/Turing%20machine.ipynb |
A simulator of a Turing machine implemented as a generator. The most pythonic implementation in the whole Internet!
This webpage
It's is created with Pelican and a bunch of plugins, most notable being pelican_publications (a fork of https://github.com/adamreeve/pelican_publications), which nicely shows the papers I'm interested in.