Polars Project: A-to-Z Data Cleaning (The 2026 Guide)
You’ve learned all the individual Polars methods. Now, let’s put them together in one “A-to-Z” project to clean a messy dataset and look at effective…
Interactive Polars: Plotting with hvplot (2026 Guide)
Matplotlib and Seaborn create static, non-interactive images. In 2026, data exploration is interactive. hvplot is a library that provides a .hvplot() method for Pandas and…
Polars Window Functions: The over() Method (SQL Partition By)
We’ve used groupby().agg(), which collapses your data (e.g., 100 rows become 3 rows). In contrast, Polars window functions allow you to compute calculations across groups…
Combining DataFrames in Polars: The concat Method
We’ve used .join() to combine data based on a key (like a SQL JOIN). But what if you just want to stack two DataFrames on…
A Guide to Polars Data Types (pl.dtypes)
In Polars, choosing the correct data type (or “dtype”) is the most important step for performance and memory usage. Using a massive Int64 for a…
Polars and Excel: The Fast Way to Read .xlsx Files (2026 Guide)
While Parquet is the fastest format, the business world runs on Excel. Polars read Excel Via a read_excel function to load these files directly into…
Time-Series in Polars: group_by_rolling for Window Analysis
We’ve covered two types of window functions in Polars. Now, we’ll look at how to use Polars group_by_rolling functionality. group_by_rolling() is the third type. It’s…
Polars List Comprehensions: The .list.eval() Method
What if you have a column that contains lists, and you want to perform an operation on every item inside every list? In these situations,…
How to Find and Remove Duplicate Rows in Polars (2026 Guide)
Duplicate data is a silent killer for analysis and machine learning. Polars provides high-speed, easy-to-use methods for finding and removing duplicate rows. The Setup Let’s…
Polars Data Types: How to cast and Convert Columns
When you load a CSV, Polars (and Pandas) often guesses the data types. Sometimes, it guesses wrong, loading a number column (like 5.0) as a…
