getaaron

• Call 1-800-829-1040
• Press 1 for English (or other language as desired)
• Press 2 for personal tax
• Press 1 for form / tax history
• Press 3 for other
• Press 2 for other
• Ignore 2 SSN prompts till you get secret other menu
• Press 2 for personal tax
• Press 3 for other
• Wait for agent!

SamWhited

package transaction

import (
	"context"
	"database/sql"
)

// Exec creates a transaction and calls f.
// When it is finished, it cleans up the transaction. If an error occured it
// attempts to rollback, if not it commits.

drmalex07

README

This is an example of a socket-activated per-connection service (which is usually referred to as inetd-like service). A thorough explanation can be found at http://0pointer.de/blog/projects/inetd.html.

Define a socket unit

The key point here is to specify Accept=yes, which will make the socket accept connections (behaving like inetd) and pass only the resulting connection socket to the service handler.

derricw

import numpy as np

def bin_ndarray(ndarray, new_shape, operation='sum'):
    """
    Bins an ndarray in all axes based on the target shape, by summing or
        averaging.

    Number of output dimensions must match number of input dimensions.

    Example

andreif

A simple unix/linux daemon in Python

Source: http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/

Access: http://web.archive.org/web/20131025230048/http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/

by Sander Marechal

I've written a simple Python class for creating daemons on unix/linux systems. It was pieced together for various other examples, mostly corrections to various Python Cookbook articles and a couple of examples posted to the Python mailing lists. It has support for a pidfile to keep track of the process. I hope it's useful to someone.

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

briankung

The Summarized Pragmatic Programmer

When I first started reading The Pragmatic Programmer, I summarized every chapter after I read it. I eventually stopped summarizing and just finished reading the book, but I intend on finishing the job. Writing the summaries greatly improved my comprehension of each chapter.

Chapters

1. [A Pragmatic Philosophy][1]
2. [A Pragmatic Approach][2]
3. [The Basic Tools][3]
4. [Pragmatic Paranoia][4]

zacstewart

import os
import numpy
from pandas import DataFrame
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.naive_bayes import MultinomialNB
from sklearn.pipeline import Pipeline
from sklearn.cross_validation import KFold
from sklearn.metrics import confusion_matrix, f1_score

NEWLINE = '\n'

bootandy

from datetime import datetime
from pymongo.connection import Connection

import tornado.httpserver
import tornado.ioloop
import tornado.options
import tornado.web

from tornado.options import define, options

sixtenbe

#!/usr/bin/python2


# Copyright (C) 2016 Sixten Bergman
# License WTFPL
#
# This program is free software. It comes without any warranty, to the extent
# permitted by applicable law. 
# You can redistribute it and/or modify it under the terms of the Do What The
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See