oskar456

#!/usr/bin/env python3

import subprocess
import json
import os
from pathlib import Path

import requests
from requests.compat import urljoin

bradtraversy

DevCamper Backend API Specifications

Create the backend for a bootcamp directory website. The frontend/UI will be created by another team (future course). The html/css template has been created and can be used as a reference for functionality. All of the functionality below needs to be fully implmented in this project.

Bootcamps

• List all bootcamps in the database
  • Pagination
  • Select specific fields in result
  • Limit number of results

• Filter by fields

bradtraversy

MongoDB Cheat Sheet

Show All Databases

show dbs

Show Current Database

btahir

satori99

/**
 * This is a proof-of-concept for using ffmpeg as a HTTP video stream proxy
 * that can reduce ad volume.
 *
 * It only works on streams containing SCTE35 data packets.
 * You can check a stream using:
 *
 *   ffmpeg -hide_banner -i <SOURCE_URL> 2>&1 | grep scte_35
 *
 * Start the demo:

bradtraversy

Wordpress & Docker

This file will setup Wordpress, MySQL & PHPMyAdmin with a single command. Add the code below to a file called "docker-compose.yaml" and run the command

$ docker-compose up -d

# To Tear Down
$ docker-compose down --volumes

mikepruett3

<#
.SYNOPSIS
    Script to Initialize my custom powershell setup.
.DESCRIPTION
    Script uses scoop
.NOTES
    **NOTE** Will configure the Execution Policy for the "CurrentUser" to Unrestricted.

    Author: Mike Pruett
    Date: October 18th, 2018

zaydek-old

/* debug.css | MIT License | zaydek.github.com/debug.css */ if (!("is_debugging" in window)) { is_debugging = false; var debug_el = document.createElement("style"); debug_el.append(document.createTextNode(`*:not(g):not(path) { color: hsla(210, 100%, 100%, 0.9) !important; background: hsla(210, 100%,  50%, 0.5) !important; outline: solid 0.25rem hsla(210, 100%, 100%, 0.5) !important; box-shadow: none !important; filter: none !important; }`)); } function enable_debugger() { if (!is_debugging) { document.head.appendChild(debug_el); is_debugging = true; } } function disable_debugger() { if (is_debugging) { document.head.removeChild(debug_el); is_debugging = false; } } !is_debugging ? enable_debugger() : disable_debugger();

OluwoleOyetoke

#CREATE CNN STRUCTURE
"""----------------------------------------------------------------------------------------------------------------------------------------------------------------"""
def cnn_model_fn(features, labels, mode):

    """INPUT LAYER"""
    input_layer = tf.reshape(features["x"], [-1, FLAGS.image_width, FLAGS.image_height, FLAGS.image_channels], name="input_layer") #Alexnet uses 227x227x3 input layer. '-1' means pick batch size randomly
    #print(input_layer)

    """%FIRST CONVOLUTION BLOCK
        The first convolutional layer filters the 227×227×3 input image with

altaurog

#!/usr/bin/python3
#
# usage: python3 docker_descendants.py <image_id> ...

import sys
from subprocess import check_output


def main(images):
    image_ids = set(images)