#Web scrapers on the internet
See this repo to contribute/see more: https://github.com/cassidoo/scrapers
#Web scrapers on the internet
See this repo to contribute/see more: https://github.com/cassidoo/scrapers
This documentation aims at being a quick-straight-to-the-point-hands-on AWS resources manipulation with [boto3][0].
First of all, you'll need to install [boto3][0]. Installing it along with [awscli][1] is probably a good idea as
// make change to .gitignore | |
git rm --cached <filename> | |
// or, for all files | |
git rm -r --cached . | |
git add . | |
// then |
#Introduction
Developing Chrome Extensions is REALLY fun if you are a Front End engineer. If you, however, struggle with visualizing the architecture of an application, then developing a Chrome Extension is going to bite your butt multiple times due the amount of excessive components the extension works with. Here are some pointers in how to start, what problems I encounter and how to avoid them.
Note: I'm not covering chrome package apps, which although similar, work in a different way. I also won't cover the page options api neither the new brand event pages. What I explain covers most basic chrome applications and should be enough to get you started.
import nltk | |
with open('sample.txt', 'r') as f: | |
sample = f.read() | |
sentences = nltk.sent_tokenize(sample) | |
tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences] | |
tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences] | |
chunked_sentences = nltk.batch_ne_chunk(tagged_sentences, binary=True) |