yxlao

import os
import socket
import time
import argparse
import updown
import logging

# Usage:
# 1. 
# pip install dropbox

yxlao

"""
Demostrating how to compute the gradients for convolution with:
    tf.nn.conv2d
    tf.nn.conv2d_backprop_input
    tf.nn.conv2d_backprop_filter
    tf.nn.conv2d_transpose

This is the scripts for this answer: https://stackoverflow.com/a/44350789/1255535
"""

yxlao

import requests
from bs4 import BeautifulSoup

search_url_prefix = "https://www.google.com/search?q="

def get_first_result(search_str):
    search_url = search_url_prefix + search_str
    r = requests.get(search_url)
    soup = BeautifulSoup(r.text, "html.parser")
    return soup.find('cite').text

yxlao

# Your init script
#
# Atom will evaluate this file each time a new window is opened. It is run
# after packages are loaded/activated and after the previous editor state
# has been restored.
#
# An example hack to log to the console when each text editor is saved.
#
# atom.workspace.observeTextEditors (editor) ->
#   editor.onDidSave ->