Explores building AI Agents as streaming SQL queries using platforms like Apache Flink for improved consistency, scalability, and developer experience.
Part two of building a personal recommendation system, covering data collection from Pocket and content extraction using the Jina Reader API.
A developer documents the first steps in building a personalized content recommendation system using saved articles, text embeddings, and algorithms.
Introduces the 'leopards' Python library for filtering and aggregating lists, offering a lightweight alternative to pandas for basic data operations.
A cleaned-up, de-interleaved transcript of text message exhibits from the Twitter v. Elon Musk lawsuit, presented for clarity.
A talk on using Python to efficiently process and analyze large datasets from mass spectrometry, presented at a Python Frederick event.
Explains the APPROX_COUNT_DISTINCT function for faster, memory-efficient distinct counts in SQL, comparing it to exact COUNT(DISTINCT).
A guide to using the Unix command-line for efficient data science workflows, including data processing, exploration, and modeling.
A guide to using SQLite and Python's sqlite3 module to efficiently manage and query large datasets from text files.
A guide to seven essential command-line tools (jq, csvkit, Rio, etc.) for data scientists to obtain, scrub, explore, and model data.
