sgillies

"""Concurrent read-process-write example"""

import concurrent.futures
from itertools import islice
from time import sleep

import rasterio


CHUNK = 100

dominictarr

Hey everyone - this is not just a one off thing, there are likely to be many other modules in your dependency trees that are now a burden to their authors. I didn't create this code for altruistic motivations, I created it for fun. I was learning, and learning is fun. I gave it away because it was easy to do so, and because sharing helps learning too. I think most of the small modules on npm were created for reasons like this. However, that was a long time ago. I've since moved on from this module and moved on from that thing too and in the process of moving on from that as well. I've written way better modules than this, the internet just hasn't fully caught up.

@broros

otherwise why would he hand over a popular package to a stranger?

If it's not fun anymore, you get literally nothing from maintaining a popular package.

One time, I was working as a dishwasher in a restu

elaineo

# -*- coding: utf-8 -*-
from TwitterAPI import TwitterAPI
from collections import Counter
import json
import time
import logging


# Edit ff.py for your account. Go to https://apps.twitter.com/ to get your API keys. 
# Don't forget to fill in your  screen name (or someone else's).

kylemcdonald

# tested on AWS p2.xlarge August 29, 2018

# install CUDA
sudo apt-get update && sudo apt-get install wget -y --no-install-recommends
CUDA_URL="https://developer.nvidia.com/compute/cuda/9.2/Prod2/local_installers/cuda-repo-ubuntu1604-9-2-local_9.2.148-1_amd64"
wget -c ${CUDA_URL} -O cuda.deb
sudo dpkg --install cuda.deb
sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub
sudo apt-get update
sudo apt-get install -y cuda

fabrizioschiavi

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!≡

jflasher

Currently, only data within the last 90 days is available via the OpenAQ API. However, there is much more data available on OpenAQ and a variety of different access mechanisms. Note also that there is work under way to bring back to the API a mechanism to access the data older than 90 days, details here.

If you're looking to query across all the data or even easily export the data (or a subset of it), the easiest way to do that currently is using a service like Amazon Athena. I'll provide some directions on how to do that below, but at a high level, this will let you make any query of the entire dataset that you'd like (written in SQL). I'll also provide some sample queries so you can see what's possible.

On to the directions!

1. You will need to create an AWS account if you don't currently have one, you can start this process at htt

schledererj

# Does NOT implement the PEP 249 spec, but the return type is suggested by the .fetchall function as specified here: https://www.python.org/dev/peps/pep-0249/#fetchall

import time
import boto3

# query_string: a SQL-like query that Athena will execute
# client: an Athena client created with boto3
def fetchall_athena(query_string, client):
    query_id = client.start_query_execution(
        QueryString=query_string,

perrygeo

FROM python:3.6-slim-stretch

ADD requirements.txt /tmp/requirements.txt

RUN apt-get update && \
    apt-get install -y \
        build-essential \
        make \
        gcc \
        locales \

terabyte

Prologue

I wrote this answer on stackexchange, here: https://stackoverflow.com/posts/12597919/

It was wrongly deleted for containing "proprietary information" years later. I think that's bullshit so I am posting it here. Come at me.

The Question

Amazon is a SOA system with 100s of services (or so says Amazon Chief Technology Officer Werner Vogels). How do they handle build and release?