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…
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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…

This is one of the most incredible “2026 Vision” projects. You’ve used Zero-Shot for text, but what about sound? Zero-Shot Audio Classification opens up fascinating…

Real-world data is often “sparse.” You might have sales data for Monday and Friday, but nothing for Tuesday, Wednesday, or Thursday. This is where polars…

This is a core task in Natural Language Processing (NLP). When it comes to extracting entities from text, Hugging Face NER has become a popular…

We’ve learned how to group time by month (using group_by_dynamic), but what about calculating a “7-day moving average”? This is where Polars rolling functions can…

You’ve used Hugging Face to understand text, generate it, and even transcribe audio. Now, let’s use it to break the language barrier with Hugging Face…

You’ve mastered the fast Polars Expression API. But what if you need to run a complex Python function that Polars doesn’t have?, so it’s Polars…

This is one of the original tasks that made models like BERT famous. A “Masked Language Model” (MLM) is trained by having words randomly “masked”…

In data analysis, you’re constantly reshaping data. we used melt() to turn “wide” data into “long” data. Today, we’re doing the opposite. pivot() is the…

We’ve used Stable Diffusion to create images. Now, let’s use it to edit them. In this guide, we’ll explore Hugging Face Inpainting and how it…