Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
mard
IanColdwater
/ twittermute.txt
Last active
July 29, 2024 08:50
Here are some terms to mute on Twitter to clean your timeline up a bit.
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| Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
| ActivityTweet | |
| generic_activity_highlights | |
| generic_activity_momentsbreaking | |
| RankedOrganicTweet | |
| suggest_activity | |
| suggest_activity_feed | |
| suggest_activity_highlights | |
| suggest_activity_tweet |
mrjoes
/ ckedit.py
Created
March 18, 2013 19:04
Flask-Admin and CKEditor WYSIWYG textarea integration. Basically, all you have to do:
1. Create new wtforms widget which will emit 'ckeditor' class
2. Make new wtforms field which will use this widget
3. Create new jinja2 template, which includes ckeditor javascript
4. Tell flask-admin to use new field and new template
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| from flask import Flask | |
| from flask.ext.sqlalchemy import SQLAlchemy | |
| from flask.ext import admin, wtf | |
| from flask.ext.admin.contrib import sqlamodel | |
| app = Flask(__name__) | |
| app.config['SECRET_KEY'] = '123456790' | |
| app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///test.sqlite' | |
| db = SQLAlchemy(app) |
This is my constantly updated CS:GO autoexec config. Changelogs can be found under revisions here
Put autoexec.cfg in ...\Steam\steamapps\common\Counter-Strike Global Offensive\csgo\cfg or take what you want from it and add to your autoexec config!
After the Wild West Simulator 2015 update, video.txt needs to be put in ...\Steam\userdata\<Steam3 ID>\730\local\cfg
entaroadun
/ gist:1653794
Created
January 21, 2012 20:10
Recommendation and Ratings Public Data Sets For Machine Learning
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html