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# Introduction to Python

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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 **

```.mfe-app-workspace-jfrv3u{font-size:13px;line-height:20px;font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;}```# 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
print(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 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'`)?
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