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Learning Python 3

This gist provides the learning-python3.ipynb notebook file, which can be viewed and edited in a Jupyter Notebook server to learn Python 3.

Once you load the notebook file to your local jupyter server, you can edit any

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apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: whoareyou-deployment
  namespace: default
spec:
  replicas: 2
  selector:
    matchLabels:
      app: whoareyou

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// imports a couple of java tasks
apply plugin: "java"

// List available tasks in the shell
> gradle tasks

// A Closure that configures the sourceSets Task
// Sets the main folder as Source folder (where the compiler is looking up the .java files)
sourceSets {
  main.java.srcDir "src/main"

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Installation

pip3 install --user pyqt5  
sudo apt-get install python3-pyqt5  
sudo apt-get install pyqt5-dev-tools
sudo apt-get install qttools5-dev-tools

---

Configuring to run from terminal

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version: '2'
services:
  agency: 
      image: arangodb/arangodb
      environment:
          - ARANGO_ROOT_PASSWORD=openSesame
      command: --server.jwt-secret=openSesameJWT --database.password openSesame --server.endpoint tcp://0.0.0.0:5001 --agency.activate true --agency.size 1 --agency.supervision true

  coordinator:
      image: arangodb/arangodb

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# Install virtualbox
sudo apt install virtualbox

# Install Kubectl
curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin

# Install Minikube
curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.14.0/minikube-darwin-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
# Launch Minikube
minikube start

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$ ffmpeg -i input.mp4 -vcodec h264 -acodec mp2 output.mp4

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Async Await Best Practices Cheat Sheet

Summary of Asynchronous Programming Guidelines

Name	Description	Exceptions
Avoid async void	Prefer async Task methods over async void methods	Event handlers
Async all the way	Don't mix blocking and async code	Console main method
Configure context	Use ConfigureAwait(false) when you can	Methods that require con­text

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import cv2
import sys
import os


class FaceCropper(object):
    CASCADE_PATH = "data/haarcascades/haarcascade_frontalface_default.xml"

    def __init__(self):
        self.face_cascade = cv2.CascadeClassifier(self.CASCADE_PATH)