sandys

1. Download git-filter-repo script
2. name the file as clean.py
3. run python /tmp/clean.py --force --strip-blobs-bigger-than 100M --refs

sandys

docker network create pg

docker run -it --rm -P -p 5432:5432 --name pg -e POSTGRES_PASSWORD=password -e POSTGRES_USER=postgres -e POSTGRES_DB=production -v pgdata:/var/lib/postgresql/data --network=pg postgres

pgdata is the name of the docker volume. You can check it using docker volume ls and docker volume inspect pgdata. You can delete the docker volume by docker volume rm pgdata and prune all volumes using docker volume prune docker volumes are created in your central docker directory (usually /var/lib/docker/overlay2 ). You generally dont need to care about this.

You can now access it in many ways:

sandys

const withPlugins = require('next-compose-plugins');
const withTM = require('next-transpile-modules')(['reusecore', 'common']);
const withOptimizedImages = require('next-optimized-images');
const withFonts = require('next-fonts');
const withCSS = require('@zeit/next-css');

const path = require("path");

module.exports = withPlugins(
  [

sandys

#

... import xgboost.sklearn as xgb 
... from sklearn.model_selection import GridSearchCV 
... from sklearn.model_selection import TimeSeriesSplit 
...  
... cv = 2 
...  
... trainX= [[1], [2], [3], [4], [5]] 
... trainY = [1, 2, 1, 2, 1] 

sandys

user@instance-mumbai:~/docker-setup-v2/flask$ dig files.pythonhosted.org A

; <<>> DiG 9.10.3-P4-Ubuntu <<>> files.pythonhosted.org A ;; global options: +cmd ;; Got answer: ;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 3624 ;; flags: qr rd ra; QUERY: 1, ANSWER: 5, AUTHORITY: 0, ADDITIONAL: 1

;; OPT PSEUDOSECTION: ; EDNS: version: 0, flags:; udp: 512

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[Unit]
Description=Datadog Docker Swarm
After=systemd-journald.service
Requires=systemd-journald.service

[Service]

ExecStart=/bin/zsh -c "coproc  while true; do ncat --ssl intake.logs.datadoghq.com 10516; done ;journalctl -o json -f | jq -r --unbuffered '\"c441ade4f5f4d04c  \" + ({ message:.MESSAGE, service_name:.COM_DOCKER_SWARM_SERVICE_NAME, container:.CONTAINER_NAME, containerid:.CONTAINER_ID_FULL, host:._HOSTNAME,pid:(._PID // \"-\"), timestamp:(.__REALTIME_TIMESTAMP|tonumber/1000000|todate),\"syslog.severity\":((.PRIORITY|tonumber))  }|tostring)' >&p 2>&p"

sandys

wget https://developer.nvidia.com/compute/cuda/9.1/Prod/local_installers/cuda-repo-ubuntu1604-9-1-local_9.1.85-1_amd64
sudo add-apt-repository ppa:graphics-drivers
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -

sudo add-apt-repository \
   "deb [arch=amd64] https://download.docker.com/linux/ubuntu \
   $(lsb_release -cs) \
   stable"

curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey |   sudo apt-key add -

sandys

from PIL import Image
import requests
from io import BytesIO
from io import StringIO

url1 = "https://res.cloudinary.com/prestige-gifting/image/fetch/fl_progressive,q_95,e_sharpen:50,w_480/e_saturation:05/https://www.prestigeflowers.co.uk/images/NF4016-130116.jpg"

url2 = "https://static.pexels.com/photos/39517/rose-flower-blossom-bloom-39517.jpeg"

url3 = "https://i.pinimg.com/736x/f2/01/57/f201574c8705365b2c3e182953f765f2--blue-roses-blue-flowers.jpg"

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{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "name": "Launch (Production)",
            "type": "node",
            "request": "launch",

sandys

OSX - https://github.com/OpenSC/OpenSC/releases/download/0.16.0/OpenSC-0.16.0.dmg

Fedora - sudo dnf install pcsc-tools opensc ccid

ubuntu - sudo dnf install pcsc-tools opensc libccid

Find out where OpenSC has installed the pkcs11 module.

For OS X with binary installation this is typically in /Library/OpenSC/lib/. Homebrew users can use export OPENSC_LIBS=$(brew --prefix opensc)/lib