haynesgt

#!/usr/bin/env node

/**
 * Install:
 *
 * Download this file and give it executuable persmissions
 *
 * Usage:
 *
 * Uploading documents

KalebNyquist

import requests
import json
import pandas as pd


def airtable_download(table, params_dict={}, api_key=None, base_id=None, record_id=None):
    """Makes a request to Airtable for all records from a single table.
        Returns data in dictionary format.

    Keyword Arguments:

JasonStoltz

import React, { useEffect, useState } from 'react'
import PropTypes from 'prop-types'
import styled, { withTheme } from 'styled-components'
import { withSearch } from '@elastic/react-search-ui'
import _get from 'lodash/get'

import Slider from 'rc-slider'
import 'rc-slider/assets/index.css'

import { FacetContainer, FacetHeader } from './SearchFacet'

JasonStoltz

#!/usr/bin/env node

/**
 * Install:
 *
 * Download this file and give it executuable persmissions
 *
 * Usage:
 *
 * Uploading documents

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

onyxfish

This script for Google Spreadsheets allows you to generate slugs for your data such as might be used for creating unique urls.

Use it like this!

#	A	B	C
1	a	b	slug
2	foo	baz bing	=slugify(A2:B4)
3	bar	BAZ
4	FOO	baz-bing