skatesham

import unittest


def bobble_sort(values):
    """
    Sorting list algorithm type of BobbleSort.
    Time O(n**2 - n)
    Space O(n + 3)
    :author sham vinicius fiorin
    :param values: List of comparable objects

skatesham

class Mapper:
  def convertValue(self, data, obj):
        """
        Mapper from dict to class, covering it's chieldrens but the key on dict must be mapping the chield with .
        Exemple: data = {
            "x": 0,
            "y": 1,
            "chield.a": "Sham Vinicius",
            "chield.b": "Fiorin",
            "chield.layer.c": "xxx",

skatesham

#! /usr/bin/python

import subprocess
print("---------------------------------------------------")
print("Automatic Watched Set Up of Github in Python")
print("-----------by Sham Vinicius Fiorin-----------------")
print("---------------------------------------------------")
config = input("Set up configurations[N/s]?")
if('s' in config.lower()):
	subprocess.run(["git", "init"])

skatesham

/*
Simple Node.js Utility module to enable easy creation of models using node-mongodb-native

Useage:-
  var dao = require('./mongodb-dao');

  exports.NewClient = function(clientId, plan){
    return {
      clientId: clientId,
      plan: plan,

skatesham

var mongo = require('mongodb'),
    EventEmitter = require('events').EventEmitter;

function Connector(settings) {
  settings.port = settings.port || mongo.Connection.DEFAULT_PORT;
  this.settings = settings;
  this.server = new mongo.Server(settings.host, settings.port);
  this.db = new mongo.Db(settings.database, this.server, {native_parser: true});
}

skatesham

const functions = require('firebase-functions');
const gcs = require('@google-cloud/storage')();
const sharp = require('sharp')
const _ = require('lodash');
const path = require('path');
const os = require('os');

exports.generateThumbnail = functions.storage.object('uploads/{imageId}').onChange(event => {

  const object = event.data; // The Storage object.

skatesham

// $sum
db.zips.aggregate([
	{ $group:
		{
			"_id": {
				"state": "$state"
			},
			"population": { "$sum": "$pop" }
		}
	}

skatesham

import pymongo
import sys
def main():
  connection = pymongo.MongoClient("mongodb://localhost")
  db = connection.m101
  people = db.people
  
  person = {'name': 'Barack Obama', 'role':'President',
            'address':{'address1':'The White House',
                       'street': '1600 Pensylvania Avenue',

skatesham

from datetime import datetime
from pymongo import MongoClient

connection = MongoClient("mongodb://localhost")

db = connection.test

post = {"title": "My Blog Post",
        "content": "Here's my blog post.",
        "date": datetime.utcnow()}

skatesham

Oficina MongoDB e Python - FISL
Resumo university.mongodb.com/courses/M101P/about

Install python 2.7 (provavelmente vc já tem)
https://www.python.org/downloads/
para testar python -V

Install mongoDB 3.4
https://www.mongodb.org/downloads
criar diretório \data\db com as permissões necessárias para testar bin\mongod (servidor)