How to Fix: pandas.errors.ParserError: Error tokenizing data
This pandas ParserError is the most common error when reading “messy” CSV files found in the wild. which signals there’s a problem parsing your data….
Polars for Machine Learning: Zero-Copy to PyTorch and XGBoost
Traditional machine learning workflows often suffer from excessive memory overhead. When training models on tabular data with pandas-based pipelines, data frequently passes through multiple intermediate…
AI Project: Scaling RAG with Pinecone (Cloud Vector Databases)
We built a RAG chatbot using FAISS, which runs locally. That works for 1,000 documents. But what if you have 100 million? You need a…
Horizontal Aggregation in Polars: The fold() Expression
In Polars, standard aggregations (sum, mean) work vertically (down a column). But what if you want to sum across columns? For this, the Polars fold…
AI Project: OCR-Free Document Parsing with Donut (Vision-to-JSON)
In Document QA Project, we used LayoutLM to read documents. But that required a separate OCR step to find the text first. Now, Hugging Face…
Polars Structs: How to Pack and Unpack Multiple Columns
In Pandas, you are stuck with flat columns. In Polars, you can put columns inside other columns. This is called a Struct (structure). It’s like…
AI Project: Image Upscaling & Super Resolution (SwinIR)
We’ve generated images from scratch, but what about fixing old ones? Hugging Face Image Upscaling offers a powerful solution for this. Super Resolution is the…
Extending Polars: How to Write Custom Namespaces (The API for 2026)
As you become an expert in Polars, you will inevitably find yourself reusing the same complex expressions. Fortunately, one highly effective way to avoid endless…
AI Project: Depth Estimation with Hugging Face (Seeing in 3D)
We’ve taught AI to classify objects and segment pixels. Now, let’s explore Hugging Face Depth Estimation and teach AI to understand distance. Depth Estimation models…
Data Engineering with Polars: Performing Upserts (Merge) into Delta Tables
In Data Engineering, you rarely just “write” files. You usually have a master dataset (e.g., “All Users”), and every day you get a “Daily Update”…
