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Introduction to Python
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    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

    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