📌 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
🗂 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
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📌 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
🗂 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