this is the nav!
Introduction to Python
• AI Chat
• Code
• Report
• ## .mfe-app-workspace-kj242g{position:absolute;top:-8px;}.mfe-app-workspace-11ezf91{display:inline-block;}.mfe-app-workspace-11ezf91:hover .Anchor__copyLink{visibility:visible;}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.

```.mfe-app-workspace-11z5vno{font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;font-size:13px;line-height:20px;}```import numpy as np
import pandas as pd

print("imported")``````
``````# Add your code snippets here
print("Hellooooo")``````

### 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'`)?

GIT

ls - list of current files in directory ls -a - shows ALL(included hidden) files and directories

pwd - returns current directory name cd <dir_name> - move to <dir_name>

echo "Contents of a new file" > new_text_file.txt echo "Append to file" >> old_text_file.txt

nano <file_name> - edit file Ctrl+O - save changes Ctrl+X - exit the editor