andreybutenko

# Name: my_greeting_function
# Purpose: Print a message to greet the user
# Inputs: User's name
# Outputs: None
def my_greeting_function(name):
    full_greeting = 'Hello ' + name = '!'
    print(full_greeting)

my_name = 'Sneha'
my_greeting_function(my_name)

andreybutenko

1. run it: basic function

Show students the code sample and ask them to run it individually in the Repl interpreter. After 1-2 minutes ask the group: (1) what did the code do? (2) why?

Code Sample

def my_function():
    print("THIS IS MY FUNCTION!")

andreybutenko

library(dplyr)
library(ggplot2)
library(gridExtra)

kBinwidth <- 1
kXBreakBy <- 2
kYBreakBy <- 1

before_data <- c(17,6,4,1,3,18,19,15,13,13,10,8,13,11,2,7,5,17,15,15,2,9,20,18,19)
after_data <- c(17,13,13,5,4,6,9,9,6,14,18,5,9,3,2,12,9,2,4,14,3,13)

andreybutenko

# Install tidyr if necessary:
# install.packages('tidyr')
library(tidyr)
library(dplyr)

bands_wide <- data.frame(
  city = c('Seattle', 'Portland', 'Denver', 'Minneapolis'),
  greensky_bluegrass = c(40, 40, 20, 30),
  trampled_by_turtles = c(30, 20, 40, 100),
  billy_strings = c(15, 25, 25, 15),

andreybutenko

library(dplyr)

superheroes <- data.frame(
  name = c(
    'Magneto', 'Storm', 'Mystique', 'Batman',
    'Joker', 'Catwoman', 'Hellboy'
  ),
  alignment = c(
    'bad', 'good', 'bad', 'good', 'bad', 'bad', 'good'
  ),

andreybutenko

# We are converting Andrey's height from feet to centimeters

feet <- 6
inches <- 2

# Convert 6 feet 2 inches to inches (what's wrong??)
inches_total <- 3 * feet + inches

# Convert inches_total to meters
meters_total <- inches_total / 39.37

andreybutenko

console.log(JSON.stringify(
  [...document
    .querySelectorAll('.experience-section ul li')]
    .map(jobElement => ({
      role: jobElement.querySelector('h3').innerText,
      company: jobElement.querySelector('.pv-entity__secondary-title').innerText,
      timeframe: jobElement.querySelector('.pv-entity__date-range span:not(.visually-hidden)').innerText,
      description: jobElement.querySelector('.pv-entity__description').innerText.replace('See less', ''),
      imageUrl: jobElement.querySelector('img').src
    }))

andreybutenko

library(ggplot2)
library(dplyr)
library(stringr)

# Okay, the assignment description has a hint that we should use map_data('county')
# if we want to plot county-level data!
# Let's explore what that data looks like...

county_data <- map_data('county')
View(county_data)

andreybutenko

library(ggplot2)

# Set up a simple data frame for testing
my_data <- data.frame(
  x = 1:20,
  foo = 21:40,
  bar = 41:60,
  baz = 61:80
)

andreybutenko

import { globalStore } from './main.js';