my favorite popcorn/hw hacks from each lesson
# iterations
while True:
user_input = input("Enter something (type 'exit' to quit): ")
if user_input == "exit":
break
print("You entered:", user_input)
You entered: jayden is cool
Iterations keep a program doing something over and over, in this case, bugging the user for input until they finally give in and type ‘exit,’ which keeps the interaction going.
# variables
# Variable 1
numstudents = 26
print(numstudents)
# Variable 2
car = "Tesla"
print(car)
# Variable 3
groupMates = ("Nikki", "Monike", "Ankit", "Varun")
print(groupMates)
# Variable 4
dogsbeatcats = True
print(dogsbeatcats)
# Variable 1
Age = 16
print(Age)
# Variable 2
car = "lexus"
print(car)
# Variable 3
favoritecandy = ["100 Grand", "Swedish Fish", "Twix", "Hershey"]
import json
lst = [favoritecandy]
print(type(lst))
favoritecandy = json.dumps(lst)
print(favoritecandy)
print(type(favoritecandy))
# Variable 4
Jaydeniscool = True
print(Jaydeniscool)
16
lexus
<class 'list'>
[["100 Grand", "Swedish Fish", "Twix", "Hershey"]]
<class 'str'>
True
Variables are like containers that hold different pieces of information in code, allowing you to store and manipulate data, making programs flexible and dynamic.
# Algorithms
thing1 = "Jayden "
thing2 = "Chen"
result = thing1 + thing2
print(result)
word1 = "Jayden "
word2 = "Chen "
word3 = "is "
word4 = "cool."
sentence = word1 + word2 + word3 + word4
print(sentence)
stringLength = len(sentence)
print(f"The sentence length is {stringLength} characters.")
Jayden Chen
Jayden Chen is cool.
The sentence length is 20 characters.
Algorithms are responsible for providing step-by-step instructions for solving problems and performing tasks efficiently and consistently.
# booleons
temperature = 19
weather = "stormy"
result = temperature > 20 and weather == "stormy"
print(result)
if result == True:
print("go outside stinky pants")
else:
print("stay at home pookie bear")
False
stay at home pookie bear
Booleans are the digital decision-makers of code, enabling it to make choices, evaluate conditions, and control the flow of programs by representing true or false values.
# Developing Algorithms
list = [50, 30, 70, 40, 60]
mean = sum(list) / len(list)
print("mean", mean)
sortedlist = sorted(list)
n = len(sortedlist)
if n % 2 == 0:
median = (sortedlist[n // 2 - 1] + sortedlist[n // 2]) / 2
else:
median = sortedlist[n // 2]
print("Median:", median)
mean 50.0
Median: 50
# list
nums = [30, 45, 95, 56, 73, 98, 25]
min_value = nums[4] # Start with the first element as the minimum
for score in nums:
if score < min_value:
min_value = score
print(min_value) # Display the minimum value
25
Lists allow you to group and organize multiple items, making it easier to work with collections of data.
# developing procedures
def updateweather(currentweather, weather):
if currentweather> weather:
weather = currentweather
print("today is warmer than yesterday")
else:
print("today is colder than yesterday")
return currentweather
currentweather = 71
weather = 66
currentgrade = updateweather(currentweather, weather)
print("the temperature right now is", currentweather, "degrees")
today is warmer than yesterday
the temperature right now is 71 degrees
Procedures are like pre-defined sets of instructions in code, simplifying complex tasks by breaking them down into manageable, reusable chunks of functionality.
# Libraries
from math import factorial
num = 4
print(factorial(num))
24
Libraries import bunches pre-written code in programming, offering a ton of functions and tools that help developers save time
# simulations
import random
def roll_die():
# Gives random integer between 1 and 6
return random.randint(1, 100)
# Defines the variable "result" as the result of function roll_die()
result = roll_die()
print("Your random number is:", result)
Your random number is: 16
Simulations mimick real-world scenarios and events to analyze, test, and predict outcomes, making them valuable tools for research and problem-solving.