betterdatascience

# 1. Library imports
import uvicorn
from fastapi import FastAPI

# 2. Create the app object
app = FastAPI()

# 3. Index route, opens automatically on http://127.0.0.1:8000
@app.get('/')
def index():

betterdatascience

import uvicorn
from fastapi import FastAPI

app = FastAPI()

@app.get('/')
def index():
    '''
    This is a first docstring.
    '''

betterdatascience

# 1. Library imports
import uvicorn
from fastapi import FastAPI
from Model import IrisModel, IrisSpecies

# 2. Create app and model objects
app = FastAPI()
model = IrisModel()

# 3. Expose the prediction functionality, make a prediction from the passed

betterdatascience

import requests 

new_measurement = {
    'sepal_length': 5.7,
    'sepal_width': 3.1,
    'petal_length': 4.9,
    'petal_width': 2.2
}

response = requests.post('http://127.0.0.1:8000/predict', json=new_measurement)

betterdatascience

library(gapminder)
library(ggplot2)
library(dplyr)
library(shiny)

ui <- fluidPage(
  titlePanel("Gapminder explorer", windowTitle = NULL),
  plotOutput("line")
)

betterdatascience

library(shiny)
library(gapminder)
library(dplyr)
library(ggplot2)

ui <- fluidPage(
  titlePanel("Gapminder explorer", windowTitle = NULL),
  sidebarPanel(
    width = 3,
    tags$h4("Filter"),

betterdatascience

msg = EmailMessage()
msg['Subject'] = 'This is my first Python email'
msg['From'] = EMAIL_ADDRESS 
msg['To'] = EMAIL_ADDRESS 
msg.set_content('And it actually works')


with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp:
    smtp.login(EMAIL_ADDRESS, EMAIL_PASSWORD) 
    smtp.send_message(msg)

betterdatascience

msg = EmailMessage()
msg['Subject'] = 'This is my email for multiple people'
msg['From'] = EMAIL_ADDRESS 
msg['To'] = ['recipient1@gmail.com', 'recipient2@gmail.com']
msg.set_content('It works!')


with smtplib.SMTP_SSL('smtp.gmail.com', 465) as smtp:
    smtp.login(EMAIL_ADDRESS, EMAIL_PASSWORD) 
    smtp.send_message(msg)

betterdatascience

msg = EmailMessage()
msg['Subject'] = 'This is my email with PDF attachment'
msg['From'] = EMAIL_ADDRESS 
msg['To'] = EMAIL_ADDRESS 
msg.set_content('See below')


with open('ExampleDoc.pdf', 'rb') as pdf:
    msg.add_attachment(pdf.read(), maintype='application', subtype='octet-stream', filename=pdf.name)
    

betterdatascience

import numpy as np
import pandas as pd

iris = pd.read_csv('iris.csv')

# Keep an untouched copy for later
iris_orig = iris.copy()

iris.head()