Beta

## Introduction to Python

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

### Take Notes

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

_Add your notes here_

```
# Most list operations that should violate some rule just intelligently append, replace or insert the elements when subsetting
x = ["a", "b", "c", "d"]
x[1:1] = ["s", "t", "v"]
#x
#['a', 's', 't', 'v', 'b', 'c', 'd']
x[2:8] = ["s", "t", "v"] # index 8 doesn't exist, doesn't matter just appends what it can
#x
#['a', b', 's', 't', 'v']
x[5:8] = ["s", "t", "v"] # 5 doesn't exist, doesn't matter just appends
#x
#['a', b', 'c', 'd', s', 't', 'v']
```

### 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'`

)?