📌 Why I’m Making the Switch to marimo Notebooks

🗂 Category: DATA SCIENCE

🕒 Date: 2025-11-20 | ⏱️ Read time: 11 min read

A new contender is emerging in the computational notebook space. Titled marimo, this tool offers a "fresh way to think" about interactive programming and data science workflows, challenging the established paradigms of tools like Jupyter. The author discusses their personal decision to make the switch, highlighting the innovative approach and potential benefits that marimo brings to developers and data scientists looking for a more modern and reactive notebook experience.

#marimo #ComputationalNotebooks #DataScience #Python #DeveloperTools

📌 Modern DataFrames in Python: A Hands-On Tutorial with Polars and DuckDB

🗂 Category: DATA SCIENCE

🕒 Date: 2025-11-21 | ⏱️ Read time: 7 min read

Struggling with slow data workflows as your datasets grow? This hands-on tutorial demonstrates how to leverage the power of modern DataFrame tools, Polars and DuckDB, to significantly boost performance in Python. Learn practical techniques to handle larger data volumes efficiently and keep your entire workflow from slowing down.

#Python #Polars #DuckDB #DataEngineering

📌 How to Implement Randomization with the Python Random Module

🗂 Category: PROGRAMMING

🕒 Date: 2025-11-24 | ⏱️ Read time: 6 min read

Master Python's built-in random module to introduce unpredictability into your applications. This guide explores how to effectively generate random outputs, a crucial technique for tasks ranging from shuffling data and creating simulations to developing games and selecting random samples. Learn the core functions and practical implementations to leverage randomization in your code.

#Python #Programming #CodingTips #Random