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…
How to Fix: TypeError: sequence item 0: expected str instance, int found
If you’ve encountered the TypeError sequence item expected str, you’re not alone. This error happens almost exclusively when using the .join() method. The .join() method…
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…
AI Project: Bulk Background Removal Tool (RMBG-1.4)
Removing backgrounds is tedious manual work. In 2026, we let AI do it. We will use RMBG-1.4 (Remove Background), a state-of-the-art model available on Hugging…
How to Fix: SyntaxError: cannot assign to True
This error SyntaxError cannot assign to True means you are trying to use a Reserved Keyword as a variable name. In older versions of Python…
Cloud Data Science: Reading S3 Buckets with Polars (2026 Guide)
Professional data science happens in the cloud. Data usually lives in an Amazon S3 bucket (or Google Cloud Storage). Downloading a 50GB CSV to your…
AI Project: Build a YouTube Video Summarizer (Whisper + Hugging Face)
We’ve learned Transcription (Whisper) and Summarization separately. Now, let’s combine them to solve a real problem: watching long YouTube videos. In this post, we’ll build…
How to Fix: TypeError: ‘type’ object is not subscriptable
This TypeError type object not subscriptable is common if you are learning modern Python but running code on an older server or Environment (like Python…
Time-Series Magic: The Polars join_asof (Merging Non-Exact Times)
In standard data (SQL), you join on exact matches (ID = ID). In time-series data (Finance, IoT), timestamps rarely match exactly, which is where Polars…
