naviocean

1. Install NVIDIA Driver Version 390 via apt-get

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt-get update
sudo apt-get install nvidia-390 nvidia-modprobe

To verify installation, restart your machine with reboot and type nvidia-smi.

2. Install Cuda 9.0

nikhilkumarsingh

vxgmichel

import asyncio


async def long_sleep(arg):
    hours = 60*60

    async def bg():
        while True:
            await asyncio.sleep(12 * hours)

mutin-sa

DNS:

IPv4 Addr	IPv6 Addr	ASn	Political Region	Loc	Svc	Org
8.8.8.8	2001:4860:4860::8888	AS15169	US	Worldwide (Anycast)	Google Public DNS	Google
8.8.4.4	2001:4860:4860::8844	AS15169	US	Worldwide (Anycast)	Google Public DNS	Google
1.1.1.1	2606:4700:4700::1111	AS13335	US	Worldwide (Anycast)	Cloudflare-DNS	Cloudflare/APNIC
1.0.0.1	2606:4700:4700::1001	AS13335	US	Worldwide (Anycast)	Cloudflare-DNS	Cloudflare/APNIC
95.85.95.85	2a03:90c0:999d::1	AS199524	EU	*W

timvisee

Falsehoods programmers believe about time

This is a compiled list of falsehoods programmers tend to believe about working with time.

Don't re-invent a date time library yourself. If you think you understand everything about time, you're probably doing it wrong.

Falsehoods

• There are always 24 hours in a day.
• February is always 28 days long.
• Any 24-hour period will always begin and end in the same day (or week, or month).

aras-p

// See http://aras-p.info/blog/2017/10/24/Slow-to-Compile-Table-Initializers/
//
// Some combination of "enums-like-ints" utilities (global operators) and
// large constant data tables placed inside functions (instead of global variables)
// is causing VS2015+ to be fairly slow at compiling with /O2
//
// Here's a simplified excerpt taken from a larger codebase (Unity game engine),
// and cut down a bit to have a small-ish repro. The most slow part was the
// GetDesc function, with a large FormatDesc table initialization inside of it,
// coupled with FormatPropertyFlags using ENUM_FLAGS macros to define "type-safe"

kmhofmann

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

jagrosh

Step 1 - Make a Discord Webhook

1. Find the Discord channel in which you would like to send commits and other updates

2. In the settings for that channel, find the Webhooks option and create a new webhook. Note: Do NOT give this URL out to the public. Anyone or service can post messages to this channel, without even needing to be in the server. Keep it safe!

Step 2 - Set up the webhook on Github

1. Navigate to your repository on Github, and open the Settings

ab

#!/usr/bin/env ruby

alias 📄 puts

class A🖥
  @@🐴 = {
    😂: 'Hello, world!',
    🙃: 'HALP',
    🖥: 'computer.',
  }

mpetroff

# /etc/fail2ban/jail.local
[jupyterhub]
enabled = true
port = 443
filter = jupyterhub
backend = systemd
maxretry = 6