farizrahman4u

import numpy as np

def vectorize(x):
    # vectorize a string
    if len(x) > 1:
        return np.sum([vectorize(c) for c in x], axis=0)
    if x == '.':
        i = 27
    elif x == ' ':
        i = 26

slacy

class SignalModel(models.Model):
    """A Model mixin class that lets you put your signal handler methods back into your Model class."""

    @classmethod
    def _sig_pre_delete(cls, instance, *args, **kwargs):
        """dispatch the pre_delete method to a regular instance method. """
        return instance.sig_pre_delete(*args, **kwargs)

    @classmethod
    def _sig_post_delete(cls, instance, *args, **kwargs):

0sn

#/usr/local/bin/python

"""Build Rescuetime Graph Data for StatusBoard.app

This script pulls data from a rescuetime account and flattens it into a format
that is easily read by StatusBoard. Okay. Run it with cron or launchd, whatever.

*nick wolfe
http://nameremoved.com/
"""

IBestuzhev

#!/usr/bin/env python3

import subprocess
import sys

path = sys.argv[-1]

if path.startswith('/path/to/my/local/source/folder/'):
    path = path.replace('/path/to/my/local/source/folder/', '/app/folder/')
    subprocess.run(['docker-compose', 'exec', '-T', 'cross', 'sh', '-c',

embr

# coding: utf-8
import pprint
import pandas as pd
from rescuetime.api.service import Service
from rescuetime.api.access import AnalyticApiKey

s = Service.Service()
k = AnalyticApiKey.AnalyticApiKey(open('rt_key').read(), s)
p = {}

tebeka

#!/usr/bin/env python2
'''Serving dynamic images with Pandas and matplotlib (using flask).'''

import matplotlib
matplotlib.use('Agg')

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from cStringIO import StringIO

cdemers

Warning! This doc is pretty outdated, I'm rewriting it right now and I'll update this as soon as it's done.

---

Installing a Go development environment on Mac OS for Beginners

Installing Go

First, install the Go compiler from Google's Go Website: https://golang.org/dl/

tomilov

wget http://link.springer.com/content/pdf/10.1007/978-1-4757-1779-2.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4757-2103-4.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4684-9884-4.pdf
wget http://link.springer.com/content/pdf/10.1007/978-3-662-02945-9.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4612-9923-3.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4757-3828-5.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4684-9936-0.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4419-8566-8.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4757-4385-2.pdf
wget http://link.springer.com/content/pdf/10.1007/978-1-4419-8592-7.pdf

veuncent

# -*- coding: utf-8 -*-
from __future__ import unicode_literals

from django.db import migrations, models
from wagtail.wagtailcore.models import Page, Site


def forwards_func(apps, schema_editor):

    HomePage = apps.get_model('website', 'HomePage')

undefobj

const https = require('https');
const AWS = require("aws-sdk");
const urlParse = require("url").URL;
const appsyncUrl = process.env.API_BACKENDGRAPHQL_GRAPHQLAPIENDPOINTOUTPUT;
const region = process.env.REGION;
const endpoint = new urlParse(appsyncUrl).hostname.toString();
const graphqlQuery = require('./query.js').mutation;
const apiKey = process.env.API_KEY;

exports.handler = async (event) => {