/polars_exercises

Like https://github.com/guipsamora/pandas_exercises for polars

Polars Exercises

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.

Lessons

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

US_Baby_Names
Wind_Stats

Chipotle
Titanic Disaster
Scores
Online Retail
Tips

Pokemon

Apple_Stock
Getting_Financial_Data
Investor_Flow_of_Funds_US

Iris
Wine

Video Solutions

Video tutorials of data scientists working through the above exercises:

Data Talks - Pandas Learning By Doing