mikhailov-work

# Copyright 2019 Google LLC.
# SPDX-License-Identifier: Apache-2.0

# Author: Anton Mikhailov

turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913

lizthegrey

default['sshd']['sshd_config']['AuthenticationMethods'] = 'publickey,keyboard-interactive:pam'
default['sshd']['sshd_config']['ChallengeResponseAuthentication'] = 'yes'
default['sshd']['sshd_config']['PasswordAuthentication'] = 'no'

orico

import pandas as pd
import numpy as np 

import spacy 
import en_core_web_sm

path_to_data = './data/'

spacy.prefer_gpu()
nlp = en_core_web_sm.load()

panicpotatoe

# -*- coding: utf-8 -*-
"""
Created on Mon Nov 12 18:19:23 2018

@author: Nhan Tran
"""

"""
y = b0 + b1*x1
y: dependent variable

mikkokotila

import signs as signs
import pandas as pd

# load some text
df = pd.read_csv('tweets.csv').text

# load vectors
e = signs.Embeds("glove.twitter.27B.25d.txt")

# get Keras embeddings layer

aialenti

#import pandas as pd
#from constants import *
#from src.commons import utils
#import matplotlib.pyplot as plt
#import numpy as np

#       Read the list of all paintings (scraped data)
data = pd.read_csv('{}/data.csv'.format(DATA_FOLDER))
for year in data['year'].unique():
    full_data = pd.DataFrame()

simecek

s = 'Python is awesome!'
red = "#FA5882"
a = eval("exec('import sys; import matplotlib.pyplot as plt; import numpy as np; print(s); t = np.arange(0,2*np.pi, 0.1); x = 16*np.sin(t)**3; y = 13*np.cos(t)-5*np.cos(2*t)-2*np.cos(3*t)-np.cos(4*t); plt.fill(x,y,color=red); plt.show(); sys.exit()')")
print('R is great too!')
X11()  # Use windows() or qartz() if on Windows or Mac
t = seq(0, 2*pi, by=0.1)
x = 16*sin(t)^3
y = 13*cos(t) - 5*cos(2*t) - 2*cos(3*t) - cos(4*t)
plot(x=x, y=y, type="n", xlab="", ylab="")
polygon(x=x, y=y, col=red, border=red)

abhishek-Kumar009

ZSalloum

import numpy as np


def sigmoid(x):
    return 1.0 / (1.0 + np.exp(-x))


def sigmoid_prime(x):
    return sigmoid(x) * (1.0 - sigmoid(x))

psychemedia