MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

drewolson

package main

import (
	"fmt"
	"reflect"
)

type Foo struct {
	FirstName string `tag_name:"tag 1"`
	LastName  string `tag_name:"tag 2"`

yanofsky

This is free and unencumbered software released into the public domain.

Anyone is free to copy, modify, publish, use, compile, sell, or
distribute this software, either in source code form or as a compiled
binary, for any purpose, commercial or non-commercial, and by any
means.

In jurisdictions that recognize copyright laws, the author or authors
of this software dedicate any and all copyright interest in the
software to the public domain. We make this dedication for the benefit

pythonanywhere

import os
import subprocess

def get_google_news_homepage():
    print("this will fetch the current google news home page as text.")
    print("it will use the requests and lxml libaries")
    print("press enter to continue")
    input()

    import requests

whoshuu

#!/bin/bash

###########################################################################################
# bootstrap.sh
#
# To run directly from web:
#    wget -O - https://gist.githubusercontent.com/whoshuu/11159710/raw/bootstrap.sh | bash
# Else:
#    ./bootstrap.sh
#

iirelu

from __future__ import division

import os
import numpy
from PIL import Image, ImageDraw


class Renderer():
    def __init__(
            self, size=(640, 480), sampler=None,

titipata

Caffe Installation

Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link

###Installation

• verify all the preinstallation according to CUDA guide e.g.

lspci | grep -i nvidia

chrishwiggins

ICERM Data Science: references and links

Talk delivered 2015-07-29 at ICERM workshop on "mathematics and data science"

PDF on slideshare of talk slides

context

• google search trends: data science

coilysiren

# internal
import re
import subprocess

# external
import twython
# prosaic, obviously

twitter = twython.Twython(
    ENV['API_KEY'],

dannycoates

Experimenting with AWS Lambda for ETL

A lot of us are interested in doing more analysis with our service logs so I thought I'd share an experiment I'm doing with Sync. The main idea is to transform the raw logs into something that'll be nice to query and generate reports with in Redshift.

The Pipeline

Logs make their way into an S3 bucket (lets call it the 'raw' bucket) where we've got a lambda listening for new data. This lambda reads the raw heka protobuf gzipped data, does some transformation and writes a new file to a different S3 bucket (the 'processed' bucket) in a format that is redshift friendly (like json or csv). There's another lambda listening on the processed bucket that loads this data into Redshift.