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[
  {
    "id":1612,
    "abbrev":"NHV",
    "name":"New Haven Union Station",
    "latitude":"41.297719",
    "longitude":"-72.926731",
    "url":"http://www.shorelineeast.com/service_info/stations/nh_u.php"
  },
  {

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2/5: License android-sdk-preview-license:
---------------------------------------
To get started with the Android SDK Preview, you must agree to the following terms and conditions. As described below, please note that this is a preview version of the Android SDK, subject to change, that you use at your own risk. The Android SDK Preview is not a stable release, and may contain errors and defects that can result in serious damage to your computer systems, devices and data.

This is the Android SDK Preview License Agreement (the "License Agreement").

1. Introduction

1.1 The Android SDK Preview (referred to in the License Agreement as the “Preview” and specifically including the Android system files, packaged APIs, and Preview library files, if and when they are made available) is licensed to you subject to the terms of the License Agreement. The License Agreement forms a legally binding contract between you and Google in relation to your use of the Preview.

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#Step 1
import cv2                 # working with, mainly resizing, images
import numpy as np         # dealing with arrays
import os                  # dealing with directories
from random import shuffle # mixing up or currently ordered data that might lead our network astray in training.
from tqdm import tqdm      # a nice pretty percentage bar for tasks. Thanks to viewer Daniel BA1/4hler for this suggestion
import tensorflow as tf    #Import Tensorflow
import glob                #This will extract all files from the folder
import keras
from keras.preprocessing.image import ImageDataGenerator

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Credits, notes and reference

Python / General

• https://www.dataweekends.com/blog/2017/03/09/set-up-your-mac-for-deep-learning-with-python-keras-and-tensorflow
• https://github.com/prof-rossetti/nyu-info-2335-201805/blob/master/notes/programming-languages/python/modules/pdb.md
• https://github.com/prof-rossetti/nyu-info-2335-201805/blob/master/notes/programming-languages/python/datatypes/strings.md

Anaconda

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 ["Africa/Algiers", "West Central Africa"],
 ["Africa/Cairo", "Cairo"],
 ["Africa/Casablanca", "Casablanca"],
 ["Africa/Harare", "Harare"],
 ["Africa/Johannesburg", "Pretoria"],
 ["Africa/Monrovia", "Monrovia"],
 ["Africa/Nairobi", "Nairobi"],
 ["America/Argentina/Buenos_Aires", "Buenos Aires"],
 ["America/Bogota", "Bogota"],
 ["America/Caracas", "Caracas"],

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from bs4 import BeautifulSoup
import requests
import pdb
import json

request_url = "https://www.espn.com/mlb/standings"
response = requests.get(request_url)

soup = BeautifulSoup(response.content, 'html.parser')

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import json
import requests

base_url = "https://nyu-info-2335-products-api-csv.herokuapp.com"

def list_products():
    response = requests.get(f"{base_url}/products")
    return parsed_response(response)

def show_product(product_id):

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Credits, Notes, and Reference

Twitter

• https://apps.twitter.com/
• https://api.twitter.com/1.1/statuses/user_timeline.json
• https://stackoverflow.com/a/36823840/670433
• https://www.codecademy.com/en/forum_questions/51d4a5a97c82ca640d002714
• http://gettwitterid.com/?user_name=msbgu&submit=GET+USER+ID
• https://developer.twitter.com/en/docs/basics/authentication/overview/application-only

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brew install opensc

opensc-tool -n

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#user  nobody;
worker_processes  1;

#error_log  logs/error.log;
#error_log  logs/error.log  notice;
#error_log  logs/error.log  info;

#pid        logs/nginx.pid;