ivanleoncz

$ python3 -m timeit "'foo' + 'bar'"
50000000 loops, best of 5: 5.31 nsec per loop

ivanleoncz

#include <iostream>

using namespace std;


class Vehicle {
    public:
        int number_of_wheels = 0;
    public:
        string turn_on_engine() {

ivanleoncz

/* C++ demonstration of OOP Encapsulation principle. */

#include <iostream>

using namespace std;

class Car {
  public:
    int number_of_wheels = 0;
    int door_angle_opening_degrees = 85;

ivanleoncz

# LOCAL MACHINE
ssh-keygen -t rsa -b 4096 -f /home/ivanleoncz/.ssh/mykey
# Generating public/private rsa key pair.
# Enter passphrase (empty for no passphrase): 
# Enter same passphrase again: 
# Your identification has been saved in /home/ivanleoncz/.ssh/mykey
# Your public key has been saved in /home/ivanleoncz/.ssh/mykey.pub
# The key fingerprint is:
# SHA256:1ATgW9Ly+FZU+gkX44mHKSYFp+/JAwHQHDpPkKoQRzg ivanleoncz@ilex-an5
# The key's randomart image is:

ivanleoncz

# Release Dec 1st, the stable release: https://pypi.org/project/pip-audit/
# Announced by Dustin Ingram: https://twitter.com/di_codes/status/1466109133711724551

# Output of executing pip-audit

$ pip-audit
WARNING:pip_audit._service.pypi:Warning: pip 20.0.2 doesn't support the `cache dir` subcommand, unable to reuse the `pip` HTTP cache and using "/home/ivanleoncz/.pip-audit-cache" instead
\ Auditing webencodings (0.5.1)                                                                       
Found 26 known vulnerabilities in 4 packages
Name                Version ID             Fix Versions

ivanleoncz

CREATE TABLE ordered_products (                                                                     
 id SERIAL PRIMARY KEY,
 name VARCHAR(50),
 department VARCHAR(50),
 price INTEGER,
 weight NUMERIC);

# Let's add some columns with TIMESTAMP data.
ALTER TABLE ordered_products ADD COLUMN created TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP;
ALTER TABLE ordered_products ADD COLUMN updated TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT CURRENT_TIMESTAMP;

ivanleoncz

-- Database Schema for simple studies of SQL, from Udemy's couse:
-- "SQL and Postgresql: The Developers Complete Developer's Guide"
-- This schema is used on the following website: https://pg-sql.com/

CREATE TABLE users(
  id SERIAL PRIMARY KEY,
  username VARCHAR(50)
);
 
CREATE TABLE photos (

ivanleoncz

class MyIterator:

    def __init__(self, limit):
        self.limit = limit

    def __iter__(self):
        self.a = 1
        return self

    def __next__(self):

ivanleoncz

from flask import Flask, jsonify, request
from jsonschema import Draft7Validator

app = Flask(__name__)
app.config["JSONIFY_PRETTYPRINT_REGULAR"] = True

schema = {
    "type": "object",
    "properties": {
        "hospital": {"type": "string"},

ivanleoncz

# Example data, used for Docke Container environment.
DATABASE_USERNAME='postgres'
DATABASE_PASSWORD='postgres'
DATABASE_IP='172.17.0.2'
DATABASE_PORT='5432'
DATABASE_NAME='postgres'