jagregory

So you've cloned somebody's repo from github, but now you want to fork it and contribute back. Never fear!

Technically, when you fork "origin" should be your fork and "upstream" should be the project you forked; however, if you're willing to break this convention then it's easy.

* Off the top of my head *

1. Fork their repo on Github
2. In your local, add a new remote to your fork; then fetch it, and push your changes up to it

    git remote add my-fork [email protected]

dnedbaylo

from selenium import webdriver

from selenium.webdriver.remote.remote_connection import RemoteConnection
from selenium.webdriver.remote.errorhandler import ErrorHandler
from selenium.webdriver.remote.command import Command

class PersistentWebdriver (webdriver.Remote):
    
    def __init__(self, session_id=None, browser_name=''):
        command_executor='http://localhost:4444/wd/hub'

thuandt

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Chương trình chuyển đổi từ Tiếng Việt có dấu sang Tiếng Việt không dấu
Chỉnh sửa từ mã nguồn của anh NamNT
http://www.vithon.org/2009/06/14/x%E1%BB%AD-ly-ti%E1%BA%BFng-vi%E1%BB%87t-trong-python
"""

import re

INTAB = "ạảãàáâậầấẩẫăắằặẳẵóòọõỏôộổỗồốơờớợởỡéèẻẹẽêếềệểễúùụủũưựữửừứíìịỉĩýỳỷỵỹđẠẢÃÀÁÂẬẦẤẨẪĂẮẰẶẲẴÓÒỌÕỎÔỘỔỖỒỐƠỜỚỢỞỠÉÈẺẸẼÊẾỀỆỂỄÚÙỤỦŨƯỰỮỬỪỨÍÌỊỈĨÝỲỶỴỸĐ"

tmcw

redo: Combine Several Fields into One.

A sort of continuation of GIS with Python, Shapely, and Fiona.

Combine several fields into one with Python, Shapely, and Fiona! You'll also want GDAL around.

First, let's start out with data. I'll use Natural Earth Countries 1:50m. Download that file and move it to a directory.

sebdah

import threading
import time


class ThreadingExample(object):
    """ Threading example class

    The run() method will be started and it will run in the background
    until the application exits.
    """

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

joshlk

import pandas as pd

def _map_to_pandas(rdds):
    """ Needs to be here due to pickling issues """
    return [pd.DataFrame(list(rdds))]

def toPandas(df, n_partitions=None):
    """
    Returns the contents of `df` as a local `pandas.DataFrame` in a speedy fashion. The DataFrame is
    repartitioned if `n_partitions` is passed.

J2TEAM

s1 = u'ÀÁÂÃÈÉÊÌÍÒÓÔÕÙÚÝàáâãèéêìíòóôõùúýĂăĐđĨĩŨũƠơƯưẠạẢảẤấẦầẨẩẪẫẬậẮắẰằẲẳẴẵẶặẸẹẺẻẼẽẾếỀềỂểỄễỆệỈỉỊịỌọỎỏỐốỒồỔổỖỗỘộỚớỜờỞởỠỡỢợỤụỦủỨứỪừỬửỮữỰựỲỳỴỵỶỷỸỹ'
s0 = u'AAAAEEEIIOOOOUUYaaaaeeeiioooouuyAaDdIiUuOoUuAaAaAaAaAaAaAaAaAaAaAaAaEeEeEeEeEeEeEeEeIiIiOoOoOoOoOoOoOoOoOoOoOoOoUuUuUuUuUuUuUuYyYyYyYy'
def remove_accents(input_str):
	s = ''
	print input_str.encode('utf-8')
	for c in input_str:
		if c in s1:
			s += s0[s1.index(c)]
		else:
			s += c

anton-petrov

import re, csv
from time import sleep, time
from random import uniform, randint
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from selenium.common.exceptions import NoSuchElementException    

snakers4

class BertEmbeddingBag(nn.Module):
    """Construct the embeddings from word, position and token_type embeddings.
    """
    def __init__(self, config):
        super(BertEmbeddingBag, self).__init__()

        # self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size)
        ngram_matrix=np.load(config.ngram_matrix_path)

        self.old_bag = config.old_bag