This repository was forked from Guipsamora's Pandas Exercises project and repurposed to solve the same exercises using the Polars API. Polars is a lightning-fast ⚡️ dataframe library for Rust and Python.
This repo will help you to get familiar with the Polars API and transitin to polars because Rust is Blazingly fast 🔥.
Same as for Guipsamora's Pandas Exercises there will be three different types of files:
1. Exercise instructions
2. Solutions without code
3. Solutions with code and comments
Suggestions and collaborations are more than welcome.🙂 Please open an issue or make a PR indicating the exercise and your problem/solution.
Getting and knowing | Merge | Time Series |
Filtering and Sorting | Stats | Deleting |
Grouping | Visualization | Indexing |
Apply | Creating Series and DataFrames | Exporting |
Chipotle
Occupation
World Food Facts
Chipotle
Euro12
Fictional Army
Alcohol Consumption
Occupation
Regiment
Students Alcohol Consumption
US_Crime_Rates
Auto_MPG
Fictitious Names
House Market
Chipotle
Titanic Disaster
Scores
Online Retail
Tips
Apple_Stock
Getting_Financial_Data
Investor_Flow_of_Funds_US
Video tutorials of data scientists working through the above exercises: