chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real

sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

tdeboissiere

from __future__ import print_function
import numpy as np
from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation, Flatten
from keras.layers.convolutional import Convolution2D, MaxPooling2D
from keras.utils import np_utils
from keras.utils import generic_utils
import multiprocessing
import os
import time

mendeza

" (N)Vim Configuration File
" vim  : place in $HOME/.vimrc
" nvim : place in $HOME/.config/nvim/init.vim
" $ ln -s $HOME/.config/nvim/init.vim $HOME/.vimrc
" General settings
" https://learnvimscriptthehardway.stevelosh.com/
" ---------------------------------------------------------------------------
" drop vi support - kept for vim compatibility but not needed for nvim
" Probably not needed with Vim 8+
"set nocompatible

matthewfeickert

import json
import argparse

import numpy as np
import matplotlib
import matplotlib.pyplot as plt

matplotlib.rcParams['text.usetex'] = True

# Inspiration came from https://stackoverflow.com/q/3609852/8931942

matheustguimaraes

Install CUDA 10.0 and cuDNN v7.4.2 on Ubuntu 16.04

Originally posted on: https://matheustguimaraes.com/blog/cuda-cudnn-ubuntu-installation

Install the latest NVIDIA driver

Update package lists, download and install NVIDIA driver

sudo apt-get update
sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt install nvidia-410

YashasSamaga

import cv2
import time

CONFIDENCE_THRESHOLD = 0.2
NMS_THRESHOLD = 0.4
COLORS = [(0, 255, 255), (255, 255, 0), (0, 255, 0), (255, 0, 0)]

class_names = []
with open("classes.txt", "r") as f:
    class_names = [cname.strip() for cname in f.readlines()]

darwing1210

import os
import asyncio
import aiohttp  # pip install aiohttp
import aiofile  # pip install aiofile

REPORTS_FOLDER = "reports"
FILES_PATH = os.path.join(REPORTS_FOLDER, "files")


def download_files_from_report(urls):

leviethung2103

How to install the Deepstream via docker container

Install Docker

Skip this step if you already had the docker and nvidia-docker

Pull Docker Image

docker pull nvcr.io/nvidia/deepstream:5.1-21.02-samples