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Introduction to Python


Introduction to Python

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

Wie sieht es bei der Priorität der Operatoren in python aus? Beispiel unten: * und **

# Create a variable savings
savings = 100

# Create a variable growth_multiplier
growth_multiplier = 1.1

# Calculate result
result = savings * growth_multiplier ** 7

# Print out result

Type Convertion in python Use str(), int(), float(), bool() to convert to the type we want

# Definition of savings and result
savings = 100
result = 100 * 1.10 ** 7

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

Add your notes here

# 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')?
  • AI Chat
  • Code