Skip to content
New Workbook
Sign up
Introduction to Python

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.

para fazer slicing, o ultimo numero é sóo para dar contexto e nao é considerado. por exemplo 5:7, o 7 nao aparece no print

para corrigir um valor numa lista pode-se recorrer ao nº que corresponde a atribuir um novo valor, por exemplo, nomelista7=1.9 Add your notes here

To create a list in Markdown, you can use square brackets [ ] to enclose the items of the list. Each item should be on a new line and preceded by a hyphen (-) or an asterisk (*). Here is an example of a Markdown list:

  • Item 1
  • Item 2
  • Item 3

This will be rendered as:

  • Item 1
  • Item 2
  • Item 3

You can also create nested lists by indenting the items with spaces or tabs. For example:

  • Item 1
    • Subitem 1
    • Subitem 2
  • Item 2
    • Subitem 3
    • Subitem 4

This will be rendered as:

  • Item 1
    • Subitem 1
    • Subitem 2
  • Item 2
    • Subitem 3
    • Subitem 4

Remember to use the Markdown code block language when formatting your response.

# 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')?