How to Fix: TypeError: method takes 1 positional argument but 2 were given
You called my_object.method(x) and passed one argument. Python counted two. The second argument is the instance itself — Python injected it automatically, and your method…
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…
How to Fix: TypeError: list indices must be integers or slices, not float
This is a very common error when doing math to find an item in a list. The TypeError list indices float issue usually occurs when…
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…
How to Fix: TypeError: can only concatenate list (not “int”) to list
This error happens when you try to add an item to a list using the + operator, but the item isn’t a list itself. This…
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)….
