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Writing Safer PySpark Queries with Parameters
Git for Data Scientists: Learn Git through Practical Examples
Goodbye Pip and Poetry. Why UV Might Be All You Need
Loguru: Simple as Print, Powerful as Logging
Scaling Pandas Workflows with PySpark’s Pandas API
How to Structure a Data Science Project for Maintainability
Enforce Structured Outputs from LLMs with PydanticAI
Marimo: A Modern Notebook for Reproducible Data Science
Polars vs. Pandas: A Fast, Multi-Core Alternative for DataFrames
Make PySpark Queries Cleaner with Column Aliasing
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