Please be noted that the following projects are just a sampling from the overall projects provided for practice by Codecademy.
I found this project slightly different than others I have encountered on Codecademy. It was not a step-by-step tutorial, instead, it indicated a series of open-ended requirements for the project to be built.
Use Python Classes to create a game system similar to the popular game series Pokémon where creatures battle against each other.
Every Pokémon has statistics associated with it like health, level, type, and a name.
I wanted to include this project since it was my first project without step-by-step instructions. For which I needed to use other resources every time I encounter a problem not covered during the Codecademy course.
Write several Python Functions that simulate games of chance.
Each one of these functions will use a number of parameters, random number generation, conditionals, and return statements.
This project was meant to combine everything I have learned about data visualization through the data analysis from the publicly traded company, Netflix, to visualize the performance of the stock during 2017.
Combine Python data analysis and visualization tools: Matplotlib, Pandas, and Seaborn.
Unlike the previous ones, this one was a step-by-step tutorial where I was allowed to build classes matching the business logic for a specialized marketplace for art traders by creating classes for each party:
- the art,
- the marketplace,
- the client (from a buy-side and sell-side perspective).
Develop Python Classes and Objects that represent the various responsibilities of art dealership software.
Based on a design spec and image assets provided by Codecademy, I created the following fictional tea shop website:
Reproduce the basic HTML and CSS applying a layout with Flexbox.
The goal was to build a Yelp-like clone where people could search for restaurants in their area and view a list of restaurants returned by the Yelp API.
Test my knowledge of JavaScript and React.