foloinfo

#!/bin/bash

# prisma does not generate rollback (down script by default)
# this script will generate the down script for each migration

name=$1
dir=$(pwd)

if [ -z "$name" ]
then

matsonj

name: pr_to_master

on:
  pull_request:
    branches:
      - master

env:
  DBT_PROFILES_DIR: ./
  MSSQL_USER: ${{ secrets.MSSQL_USER }}

johanandren

import java.io.File

import akka.actor.ActorSystem
import akka.http.scaladsl.Http
import akka.http.scaladsl.server.Directives._

import akka.stream.ActorMaterializer
import akka.stream.scaladsl.{Sink, Source}

import scala.io.StdIn

andytill

When I started erlang, I had a hard time thinking of ideas for projects to improve my skills. Now I have way too many ideas to possibly implement Myself. Since I actually want these projects to exist so I can use them (everlasting glory coming secondary to some handy tools) I have written them up here. Feel free to try them out. I'm open to questions and suggestions.

swagger for erlang

swagger is a JSON spec for REST APIs. Once you have written a spec in swagger, it can generate documentation (demo) and REST handlers.

An erlang swagger library should take swagger specs and generate cowboy_rest handlers for them.

Difficulty: low

joelhooks

Heil PR40 Package - http://www.bswusa.com/Dynamic-Microphones-Heil-Sound-PR40-Package-P7628.aspx

This is a great deal, and is a perfect mic for this stuff.

OC White Boom - http://www.ocwhite.com/broadcast-arms/proboomtm-elite-extended-reach-mic-arm-with-riser-45-reach-12-vertical-riser.html

The kit comes with a boom. It is decent, I guess, but this OC White boom is badass prostyle with a 4' reach and a 15" riser that lets it live behind my monitor.

kevin-smets

Default

Powerlevel10k

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

ndarville

Business Models

Advertising

Models	Examples
Display ads	Yahoo!
Search ads	Google

dimo414

'''
Tests different methods of concatenating files in Python.
'''

from __future__ import print_function
import json,os,shutil,subprocess
import util

def verify(file,expected):
    count = 0

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname