jamescalam

import smtplib

# initialize connection to our email server, we will use Outlook here
smtp = smtplib.SMTP('smtp-mail.outlook.com', port='587')

smtp.ehlo()  # send the extended hello to our server
smtp.starttls()  # tell server we want to communicate with TLS encryption

smtp.login('joe.bloggs@outlook.com', 'Password123')  # login to our email server

jamescalam

jamescalam

import torch
from transformers import AutoTokenizer, AutoModelWithLMHead

# initialize out T5 tokenizer and model
tokenizer = AutoTokenizer.from_pretrained('t5-base')
model = AutoModelWithLMHead.from_pretrained('t5-base', return_dict=True)

text = "Large chunk of text to produce summary from..."  # text to summarize

# tokenize the text into input IDs

jamescalam

from flask import Flask
from flask_restful import Resource, Api, reqparse
import pandas as pd
import ast

app = Flask(__name__)
api = Api(app)

class Users(Resource):
    def get(self):

jamescalam

jamescalam

class Tree(dict):
    def __missing__(self, key):
        value = self[key] = type(self)()
        return value

jamescalam

import pyodbc
from datetime import datetime

class Sql:
    """Class used for establishing a Python to Microsoft SQL Server connection
    and import/export/manipulation of data files inside the server.
    """
    def __init__(self, database, server="XXVIR00012,55000"):
        """Here we are initialising our database and server parameters and
        our connection to SQL server.

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jamescalam

class Users(Resource):
    # methods go here
    pass
    
class Locations(Resource):
    # methods go here
    pass
    
api.add_resource(Users, '/users')  # '/users' is our entry point for Users
api.add_resource(Locations, '/locations')  # and '/locations' is our entry point for Locations

jamescalam

# make a request for the trending posts in /r/Python
res = requests.get("https://oauth.reddit.com/r/python/hot",
                   headers=headers)

df = pd.DataFrame()  # initialize dataframe

# loop through each post retrieved from GET request
for post in res.json()['data']['children']:
    # append relevant data to dataframe
    df = df.append({