Debugging Polars: Using explain() and profile() to Optimize Queries
Polars is fast because it has an “Optimizer” (like a SQL database) that rewrites your code before running it. But sometimes, queries are still slow….
AI Project: Video Captioning with Hugging Face (Microsoft GIT)
We’ve done Video Classification (detecting “Basketball”). But that’s just a label. Video Captioning generates a full sentence describing the scene, like “A man playing basketball…
Polars SQL Context: Running SQL Queries Directly on DataFrames
We learned how to use DuckDB with Polars . But did you know Polars has its own SQL engine built-in? You don’t need to install…
AI Project: Text-to-3D Generation with OpenAI Shap-E (Hugging Face)
We’ve conquered 2D images and video. Now, let’s enter the third dimension. If you’re interested in how Text to 3D Python works, Shap-E is a…
Polars and Apache Arrow: Zero-Copy Data Exchange (The IPC Format)
The secret to Polars’ speed isn’t just Rust; it’s Apache Arrow. Arrow is a standard memory format. Because Polars uses Arrow internally, it can send…
AI Project: Video Classification with Hugging Face (VideoMAE)
We’ve classified text, audio, and images. Now, let’s classify Video. In this article, we’ll explore Hugging Face Video Classification and how it can be applied…
How to Fix: ValueError: The truth value of a Series is ambiguous
The infamous ValueError truth value Series message is the #1 error you will face when moving from standard Python to Data Science (Pandas or Polars)….
Polars Big Data: Optimizing Queries with Hive Partitioning
In Previous Weeks, we introduced partitioned datasets. Now, let’s dive into Hive Partitioning, the industry standard for organizing Big Data (used by Apache Spark, AWS…
AI Project: Build a Reverse Image Search Engine (CLIP + FAISS)
We’ve used Text Embeddings to search documents. Now, let’s use Image Embeddings to search photos. we’ll walk through how you can perform a Reverse Image…
Polars Power User: Anti-Joins and Semi-Joins (Filtering with DataFrames)
You know left and inner joins. But the secret weapons of SQL pros are the Anti-Join and Semi-Join. Polars supports these natively, and they are…
