Skip to content

Instantly share code, notes, and snippets.

View tsoporan's full-sized avatar
🦉
the owls are not what they seem

Titus Soporan tsoporan

🦉
the owls are not what they seem
View GitHub Profile
@tsoporan
tsoporan / arch-linux.md
Last active April 12, 2020 14:47
Install Arch Linux w/ Btrfs subvolumes and dm-crypt

Dell XPS 9360 only

  • Enter BIOS with F2 and configure:
  • "System Configuration" > "SATA Operation": "AHCI"
  • "Secure Boot" > "Secure Boot Enable": "Disabled"

Install Guide

Enter boot menu with F12, and boot the Arch USB medium

Set desired keymap

@tsoporan
tsoporan / manual_nltk_bayes_classify.py
Created October 6, 2011 18:33 — forked from lrvick/manual_nltk_bayes_classify.py
Manually train an NLTK NaiveBayes Classifier
from nltk.probability import DictionaryProbDist, ELEProbDist, FreqDist
from nltk import NaiveBayesClassifier
from nltk import FreqDist, ConditionalFreqDist
from nltk import BigramAssocMeasures
from collections import defaultdict
train_samples = {
'I hate you and you are a bad person': 'neg',
'I love you and you are a good person': 'pos',
'I fail at everything and I want to kill people' : 'neg',
@tsoporan
tsoporan / manual_nltk_bayes_classify.py
Created October 6, 2011 05:53 — forked from lrvick/manual_nltk_bayes_classify.py
Manually train an NLTK NaiveBayes Classifier
from nltk.probability import DictionaryProbDist
from nltk import NaiveBayesClassifier
from nltk import FreqDist, ConditionalFreqDist
from nltk import BigramAssocMeasures
train_samples = {
'I hate you and you are a bad person': 'neg',
'I love you and you are a good person': 'pos',
'I fail at everything and I want to kill people' : 'neg',
'I win at everything and I want to love people' : 'pos',
@tsoporan
tsoporan / manual_nltk_bayes_classify.py
Created October 6, 2011 04:05 — forked from lrvick/manual_nltk_bayes_classify.py
Manually train an NLTK NaiveBayes Classifier
from nltk.probability import DictionaryProbDist
from nltk import NaiveBayesClassifier
from nltk import FreqDist, ConditionalFreqDist
from nltk import BigramAssocMeasures
train_samples = {
'I hate you and you are a bad person': 'neg',
'I love you and you are a good person': 'pos',
'I fail at everything and I want to kill people' : 'neg',
'I win at everything and I want to love people' : 'pos',
@tsoporan
tsoporan / results.py
Created June 23, 2011 03:44 — forked from lrvick/results.py
Get async celery results from nested subtasks as they complete
from tasks import task1
def get_results(queries):
query_procs = task1.delay(queries).get()
tasks = []
for query_proc in query_procs:
tasks.extend(query_proc.subtasks)
while tasks:
current_task = tasks.pop(0)
import urllib2,re
def url_title(url,**kwargs):
request = urllib2.Request(url)
try:
data = urllib2.urlopen(request)
except urllib2.HTTPError:
data = None
except urllib2.URLError:
data = None