rsperl

Nmap Cheat Sheet

src: https://www.stationx.net/nmap-cheat-sheet

Target Specification

| Switch | Example | Description |

mariocj89

Introduction

When applications are running in production, they become black boxes that need to be traced and monitored. One of the simplest, yet main, ways to do so is logging. Logging allows us - at the time we develop our software - to instruct the program to emit information while the system is running that will be useful for us and our sysadmins.

singledigit

AWSTemplateFormatVersion: '2010-09-09'
Description: Cognito Stack
Parameters:
  AuthName:
    Type: String
    Description: Unique Auth Name for Cognito Resources

Resources:
  # Creates a role that allows Cognito to send SNS messages
  SNSRole:

carlsmith

import re

def replace(string, substitutions):

    substrings = sorted(substitutions, key=len, reverse=True)
    regex = re.compile('|'.join(map(re.escape, substrings)))
    return regex.sub(lambda match: substitutions[match.group(0)], string)

atjones0011

def get_attachment(msg, content_type):
    """
    Moves through a tree of email Messages to find an attachment.

    :param msg: An email Message object containing an attachment in its Message tree
    :param content_type: The type of attachment that is being searched for
    :return: An email Message object containing base64 encoded contents (i.e. the attachment)
    """
    attachment = None
    msg_content_type = msg.get_content_type()

5agado

halberom

---
- hosts: localhost
  gather_facts: no
  vars:
    postgresql_users:
      prod:
        - group: ca
          users:
          - user1
          - user2

angrychimp

#!/bin/bash

USERNAME="your username here"
SFTPHOST="your sftp host"
SFTPPORT=22                     # or other port, if non-standard

# Create SSH key-pair for SFTP access
# (creates pair with no passphrase)
ssh-keygen -b 2048 -t rsa -C "$SFTPHOST" -N "" -f ~/.ssh/id_rsa.sftp

crawles

# A simple cheat sheet of Spark Dataframe syntax
# Current for Spark 1.6.1

# import statements
from pyspark.sql import SQLContext
from pyspark.sql.types import *
from pyspark.sql.functions import *

#creating dataframes
df = sqlContext.createDataFrame([(1, 4), (2, 5), (3, 6)], ["A", "B"]) # from manual data

leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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