Writing Data in Polars: write_csv, write_json, write_parquet
You’ve read, cleaned, and analyzed your data in Polars. Now you need to save your results. If you’ve ever wondered how Polars write data when…
AI Project: Train on Your Own Data (Loading Local Files with datasets)
So far, we’ve used load_dataset to pull pre-made datasets (like “imdb“) from the Hugging Face Hub. But the real power is training an AI on…
Polars vs. Pandas: A 1GB Performance Showdown (2026 Guide)
We’ve told you Polars is faster than Pandas. When it comes to Polars vs Pandas Performance, now let’s prove it. We’ll create a 1GB (10…
AI Project: Build a Simple RAG Chatbot (Hugging Face & FAISS)
This is the most important AI project of the “2026 Vision.” Building a Python RAG Chatbot is a practical example of how RAG (Retrieval-Augmented Generation)…
Polars Project: A-to-Z Time-Series Analysis (Resampling & Moving Averages)
This “capstone” project combines all the Polars time-series skills you’ve learned. In this exercise, you’ll put Polars Time-Series Analysis techniques into practice. Goal: Take noisy,…
AI Project: Intro to Graph Neural Networks (GNNs) with PyG & Hugging Face
We’ve used AI to understand text, images, and audio. But what about relationships? For this, we need Graph Neural Networks (GNNs). A GNN is a…
AI Project: Manual Text Generation with Hugging Face (GPT-2)
In our previous Hugging Face with gpt-2 project, we used the text-generation pipeline. This is great, but it hides all the powerful options. In this…
How to Read JSON Files in Polars (read_json)
You’ve learned to read CSVs, Parquet, and Excel. But many APIs and modern databases (like MongoDB) output JSON files. In this tutorial, you’ll learn how…
Using Regex in Polars: .str.contains(), .str.replace_all(), .str.extract()
In our Polars string guide, we covered basic text cleaning. When your data demands pattern-level precision, Polars regex delivers — it builds Regular Expression (Regex)…
AI Project: Zero-Shot Object Detection (Hugging Face)
Zero-Shot Object Detection is one of the most exciting frontiers you can explore in this field. It’s the ultimate Computer Vision project, combining two of…
