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Introduction to Python

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

1 hidden cell

Take Notes

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

Add your notes here

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

git add git add .
git commit -m "Comment ..."
git status

git diff filename git diff -r HEAD filename git diff -r HEAD

Understanding Data Science

Data Engineer