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## 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
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 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'`

)?