Skip to content

Introduction to Python

Run the hidden code cell below to import the data used in this course.

1 hidden cell
adding strings to 

# Definition of savings and total_savings
savings = 100
total_savings = 150

# Fix the printout
print("I started with $" + str(savings) + " and now have $" + str(total_savings) + ". Awesome!")

# Definition of pi_string
pi_string = "3.1415926"

# Convert pi_string into float: pi_float
pi_float = float(pi_string)

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

operators with other types

Add your notes here

monthly_savings = 10
num_months = 12
intro = "Hello! How are you?"

# Calculate year_savings using monthly_savings and num_months
year_savings = monthly_savings * num_months

# Print the type of year_savings
print(type(year_savings))

# Assign sum of intro and intro to doubleintro
doubleintro = intro + intro

# Print out doubleintro
print(doubleintro)# Add your code snippets here

Explore Datasets

Use the arrays imported in the first cell to explore the data and practice your skills!

  • Print out the weight of the first ten baseball players.
  • What is the median weight of all baseball players in the data?
  • Print out the names of all players with a height greater than 80 (heights are in inches).
  • Who is taller on average? Baseball players or soccer players? Keep in mind that baseball heights are stored in inches!
  • The values in soccer_shooting are decimals. Convert them to whole numbers (e.g., 0.98 becomes 98).
  • Do taller players get higher ratings? Calculate the correlation between soccer_ratings and soccer_heights to find out!
  • What is the average rating for attacking players ('A')?