Polars Performance: String Caching (Categorical Type)
Let’s say you have a 10GB file with a “Country” column. The string “United States of America” might appear 50 million times, using a massive…
AI Project: Image Segmentation with Hugging Face
This is the next level of Computer Vision. Hugging Face Image Segmentation is an innovative approach transforming what computers see and understand. This is how…
A Deep Dive into the Polars Expression API (pl.Expr)
We’ve used the Polars Expression API a lot. But what is an expression? An expression, or pl.Expr, is a recipe for a calculation. It’s not…
AI Project: Quantization for Faster Models (Hugging Face optimum)
You’ve built amazing AI models, but they’re huge and slow. A model like gpt-2 can be 500MB+ and slow to run on a CPU. Hugging…
Polars Lazy API: collect(), fetch(), and describe_plan()
So far, we’ve used Polars in “Eager” mode (like Pandas), where df.filter() runs immediately. However, the Polars Lazy API offers a different approach to working…
AI Project: Image Generation with Stable Diffusion (Hugging Face)
This is the project you’ve been waiting for. We’re going to write a Python script that generates a unique image from a text prompt (e.g.,…
AI Project: Create Text Embeddings with Hugging Face (Sentence Transformers)
This is one of the most powerful concepts in modern AI. In particular, Hugging Face Text Embeddings are an innovative way to use embeddings today….
The Fastest Way to Save Data: Polars and Parquet (2026 Guide)
You’ve been taught to use .csv files for everything. This is fine for small files, but for data science in 2026, it’s slow and inefficient….
AI Project: Build a Web App for Your Hugging Face Model (with Gradio)
You’ve built amazing AI models, but how do you let your friends or colleagues use them without running your script? One solution is to share…
High-Performance NLP: Pre-processing Text with Polars (2026 Guide)
When preparing text data for an AI model, you’re often working with millions of rows. For this reason, many practitioners are interested in Polars NLP…
