| # | |
| # This small example shows you how to access JS-based requests via Selenium | |
| # Like this, one can access raw data for scraping, | |
| # for example on many JS-intensive/React-based websites | |
| # | |
| from time import sleep | |
| from selenium import webdriver | |
| from selenium.webdriver import DesiredCapabilities |
Latest revision: 2021-12-05.
Tested on Ubuntu 18.04 Docker container. The Dockerfile is a single line FROM ubuntu:18.04. Alternatively, you can simply run docker run -it ubuntu:18.04 bash.
NOTE: stopping services didn't work for me for some reason. That's why there is kill $(pidof <service name>) after each failed service <service name> stop to kill it.
| import collections, math, random, numpy | |
| import tensorflow as tf | |
| from sklearn.cross_validation import train_test_split | |
| sentences = """hated the movie it was stupid;\ni hated it so boring;\nawesome the movie was inspiring;\nhated it what a disaster;\nwe hated the movie they were idiotic;\nhe was stupid, hated her;\nstupid movie is boring;\ninspiring ourselves, awesome;\ninspiring me, brilliant;\nwe hated it they were rubbish;\nany inspiring movie is amazing;\nit was stupid what a disaster;\nits stupid, rubbish;\nstupid, idiotic!;\nawesome great movie;\nboring, must be hated;\nhe was boring the movie was stupid;\nboring movie was a disaster;\nboth boring and rubbish;\nso boring and idiotic;\ngreat to amazing;\ndisaster, more than hated;\nbetween disaster and stupid;\ndisaster, so boring;\nawesome movie, brilliant;\ntoo awesome she was amazing;\nhe was brilliant loved it;\ndisaster, only idiotic;\nrubbish movie hated him;\nit was rubbish, why so stupid?;\nrubbish, too boring;\nrubbish, disaster!;\nrubbish, very |
| public class AnimalLocator { | |
| public class cls_animal { | |
| public Integer id; | |
| public String name; | |
| public String eats; | |
| public String says; | |
| } | |
| public class JSONOutput{ | |
| public cls_animal animal; |
| #!/usr/bin/env bash | |
| # Test script for checking if Cuda and Drivers correctly installed on Ubuntu 14.04, by Roelof Pieters (@graphific) | |
| # BSD License | |
| if [ "$(whoami)" == "root" ]; then | |
| echo "running as root, please run as user you want to have stuff installed as" | |
| exit 1 | |
| fi | |
| ################################### | |
| # Ubuntu 14.04 Install script for: |
| # -*- coding: utf-8 -*- | |
| """ | |
| Sample report generation script from pbpython.com | |
| This program takes an input Excel file, reads it and turns it into a | |
| pivot table. | |
| The output is saved in multiple tabs in a new Excel file. | |
| """ |
People
 :bowtie: |
😄 :smile: |
😆 :laughing: |
|---|---|---|
😊 :blush: |
😃 :smiley: |
:relaxed: |
😏 :smirk: |
😍 :heart_eyes: |
😘 :kissing_heart: |
😚 :kissing_closed_eyes: |
😳 :flushed: |
😌 :relieved: |
😆 :satisfied: |
😁 :grin: |
😉 :wink: |
😜 :stuck_out_tongue_winking_eye: |
😝 :stuck_out_tongue_closed_eyes: |
😀 :grinning: |
😗 :kissing: |
😙 :kissing_smiling_eyes: |
😛 :stuck_out_tongue: |
