py-ranoid

import os,requests,sys

# import argparse
# parser = argparse.ArgumentParser(description='repo name')
# parser.add_argument("-n", "--name", help="Name",default='Meh')
# args = parser.parse_args()
# value = args.name

value = sys.argv[1]
os.system('git init '+value)

py-ranoid

from bs4 import BeautifulSoup
import youtube_dl
import webbrowser
import urllib2
import os
import sys

'''
import argparse
parser = argparse.ArgumentParser()

py-ranoid

py-ranoid

function gdrive_download () {
CONFIRM=$(wget --quiet --save-cookies /tmp/cookies.txt --keep-session-cookies --no-check-certificate "https://docs.google.com/uc?export=download&id=$1" -O- | sed -rn 's/.*confirm=([0-9A-Za-z_]+).*/\1\n/p')
wget --load-cookies /tmp/cookies.txt "https://docs.google.com/uc?export=download&confirm=$CONFIRM&id=$1" -O $2
rm -rf /tmp/cookies.txt
}
gdrive_download 0B7XkCwpI5KDYNlNUTTlSS21pQmM GoogleNews-vectors-negative300.bin.gz

py-ranoid

Brand	Model	Android Version	Build	Remote Input	File Transfer (Desk2App)	File Transfer (App2Desk)	Reconnect (Desktop disruption)	Reconnect (Phone disruption)
OnePlus	5T	8.1.0	lastStableBuild	comments	comments	comments	comments	comments
OnePlus	5T	8.1.0	lastSuccessfulBuild	comments	comments	comments	comments	comments

py-ranoid

from urllib2 import urlopen
from bs4 import BeautifulSoup
import pickle
import time


def getPlan(html):
    return sum(float(i.text.split(' ')[0]) for i in html.find_all('div', attrs={'class': 'description'})[0].find_all('span'))

py-ranoid

{"class_name": "Sequential", "config": [{"class_name": "LSTM", "config": {"name": "lstm_2", "trainable": true, "batch_input_shape": [null, 3, 27], "dtype": "float32", "return_sequences": false, "return_state": false, "go_backwards": false, "stateful": false, "unroll": false, "units": 16, "activation": "tanh", "recurrent_activation": "hard_sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "VarianceScaling", "config": {"scale": 1.0, "mode": "fan_avg", "distribution": "uniform", "seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 1}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true

py-ranoid

from selenium import webdriver,common

"""
How to Download Chrome Driver : 
- Go to https://chromedriver.storage.googleapis.com/index.html?path=2.45/
- Download and unzip webdriver for your OS
- Move the webdriver to a where it can be accessed by python. (Same directory or $PATH) 
"""

try :

py-ranoid

Can Neural Networks remember ?

Resources : http://bit.ly/SeqModelsResources

A gunshot.

"This is it", she thought

py-ranoid

all_rows = []
for fname in glob("/Users/vishalgupta/Downloads/Task instances _ Google Code-in *.htm"):
    with open(fname) as f:
        cont = f.read()
    s = soup(cont)
    rows = s.select('md-table-container tbody tr')
    for row in rows:
        vals = [i.text.strip() for i in row.select('td') if i.text.strip()]