Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
from sqlalchemy import create_engine | |
from sqlalchemy.orm import Session | |
from myapp.models import BaseModel | |
import pytest | |
@pytest.fixture(scope="session") | |
def engine(): | |
return create_engine("postgresql://localhost/test_database") |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
#!/bin/sh | |
### | |
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
### | |
# Alot of these configs have been taken from the various places | |
# on the web, most from here | |
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
Originally posted at http://pastebin.com/BjD84BQ3
Trigger warning: mention of suicidal ideation
tl;dr: I burned out as a developer at Amazon at the end of my second year. I’ve since found a healthy and sustainable work-life balance and enjoy work again. I write this to A) raise awareness, especially for new-hires and their families, and B) help give hope and advice to people going through the same at Amazon or other companies.
There’s been no shortage of anecdotes, opinions, and rebuttals regarding Amazon’s corporate culture as of late. I write this not to capitalize on the latest news-feed fad, but to share what I had already written and promptly deleted. I didn’t think anyone would want to hear my story, but it’s apparent people are going through a similar experience and don’t have a voice.
I’m a Software Development Engineer II at Amazon; SDE II basically means a software developer with at least 2–3 years of industry experience. I started at Amazon as an SDE I.
FROM ubuntu | |
RUN apt-get install ... | |
# grab gosu for easy step-down from root | |
ENV GOSU_VERSION 1.10 | |
RUN set -x \ | |
&& curl -sSLo /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-$(dpkg --print-architecture)" \ | |
&& curl -sSLo /usr/local/bin/gosu.asc "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-$(dpkg --print-architecture).asc" \ | |
&& export GNUPGHOME="$(mktemp -d)" \ |
Yoav Golderg, February 2024.
Researchers at Google DeepMind released a paper about a learned systems that is able to play blitz-chess at a grandmaster level, without using search. This is interesting and imagination-capturing, because up to now computer-chess systems that play at this level, either based on machine-learning or not, did use a search component.[^1]
Indeed, my first reaction when reading the paper was to tweet wow, crazy and interesting
. I still find it crazy and interesting, but upon a closer read, it may not be as crazy and as interesting as I initially thought. Many reactions on twitter, reddit, etc, were super-impressed, going into implications about projected learning abilities of AI systems, the ability of neural networks to learn semantics from observations, etc, which are really over-the-top. The paper does not claim any of them, but they are still perceiv