Game design: presentations

Seok Yun & Marcus: tic tac toe

• use Turtle to draw graphical interface
• randomly generated robot moves
• problems: robot draws additional circle at the end
• Reflection: got more used to using functions

Shawn & Clinton: snake game

• Base of the game is from online code
• But most of the code is modified
• Problems: Sound effects didn't work
• Reflection: Was able to learn Pygame through examining the online code

Richard: snake game

• improvised used Shell to initiate the game
• Based of game is from online code, title screen & loop for the game are from scratch

Edwin: dodging game

• Dodge things that spawn from the screen

Sherman & Marcus: choose your own adventure

• choose your own adventure game
• incorporates ASCII art! (Daisy finds this very cool)
• Reflections from Angelo: shows that good games don't have to be extremely complex, be sure about your goal before you make your program.

Queena & Jasmine: hangman

• Used Turtle to draw the person
• Learned a lot of new things (except for print, loops, and functions)

Datasets

Google Dataset

• Can be found here
• a new service provided by Google that lets you search through datasets
• Note: pay attention to the file type!
  • try to look for .csv files

Kaggle

• Can be found here
• Note: you will have to make an account (preferably using your school email account

McDonald's Example

• Use the data found here
• download the .csv file, then place it in the same folder where you store your Jupyter Notebooks
• we will be using the Pandas library to handle all of the data
• import pandas as pd
• dataframes in pandas
  • similar to a spreadsheet
  • two dimensional

More on filetypes

• plaintext files
  • only contain ASCII files
• .csv
  • comma separated values
    • all values seperated by commas
  • technically a plaintext file as it only has ASCII characters

McDonald's example

A link to an annotated Jupyter Notebook of the McDonald's example can be found here.

Homework

Be ready to explore more things with pandas and matplotlib tomorrow!