| Asset,Type,Asset Value,Debt,Net Value,Change vs 2015,Change,Stake,Latitude,Longitude,Notes | |
| Trump Tower (New York City),Office and retail,471,100,371,-159,Down,1,40.768277,-73.981455,Opened 1983 | |
| 1290 Avenue of the Americas (New York City),Office and retail,2310,950,408,-62,Down,0.3,40.768277,-73.981455, | |
| Niketown (New York City),Office and retail,400,10,390,-52,Down,1,40.768277,-73.981455,Ground lease through 2079 | |
| 40 Wall Street (New York City),Office and retail,501,156,345,-28,Down,1,40.768277,-73.981455, | |
| Trump Park Avenue (New York City),Residential and retail,191,14.3,176.7,-27,Down,1,40.768277,-73.981455,"49,564 sq. ft. of condos; 27,467 sq. ft. of retail" | |
| Trump Parc/Trump Parc East (New York City),Residential and retail,88,0,88,17,Up,1,40.768277,-73.981455,"11,750 sq. ft. of condos; 14,963 sq. feet of retail; 13,108 sq. ft. of garage" | |
| "Trump International Hotel and Tower, Central Park West (New York City)","Hotel, condos and retail",38,0,38,21,Up,1,40.768277,-73.981455, | |
| "Trump World Tower, 845 United Natio |
| <!DOCTYPE html> | |
| <meta charset="utf-8"> | |
| <style> | |
| .button { | |
| min-width: 130px; | |
| padding: 4px 5px; | |
| cursor: pointer; | |
| text-align: center; | |
| font-size: 13px; | |
| border: 1px solid #e0e0e0; |
Steps to get a file on your local machine uploaded to an AWS S3 bucket, and then downloaded and used in an AWS EC2 Ubuntu Instance. (In this case we do the reverse, but the process is similar)
STEP 1
Get security credentials to be able to use the AWS command line utility:
| #========================================================================================================== | |
| # Access GUI of machine | |
| # 1. Install the Ubuntu Desktop we'll be connecting to | |
| sudo apt-get update | |
| sudo apt-get install -y ubuntu-desktop | |
| # 2. Install a server that will allow remote machines to connect | |
| sudo apt-get install -y x11vnc | |
| # Configure the password for the server (alabaster) |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| A basic example using multiple processes | |
| We spawn 4 processes. Each process is made to draw N/4 random | |
| integers from 1 to 10, for some fixed large N. | |
| Then the processes adds up its list of numbers, passes it into a queue, | |
| and the main program adds up the subtotals to get a grand total. |
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """ | |
| Here we use timezone-aware datetime objects, as opposed to timezone-naive ones. | |
| Source: Python manuals, stackoverflow posts, trial and error. | |
| """ | |
| from datetime import datetime | |
| import time |
PEP-8 is a set of Python style recommendations. pep8 is a module that checks your .py file for violations. To make your Travis-CI build fail if you have any violations, you could add these lines to your .travis.yml:
before_install:
- pip install pep8
script:
# Run pep8 on all .py files in all subfolders
# (I ignore "E402: module level import not at top of file"
# because of use case sys.path.append('..'); import <module>)
| #!/bin/bash | |
| # run this from ~/github/Lanki | |
| # Remove any previous buildozer files from the folder | |
| buildozer android clean | |
| git pull | |
| # Create the .buildozer folder and download its subcomponents, including the blacklist.txt file we are about to modify | |
| buildozer android update |
| # -*- coding: utf-8 -*- | |
| """ | |
| Convert all MP3 files to OGG in all folders and subfolders starting | |
| at the location of this source file. | |
| @author: Michael Currie | |
| """ | |
| import os, collections | |
| from glob import glob |