These are my go-to libraries for Python data crunching.

The power of Python trumps Excel workbooks.

This vibe coding cheat sheet explains how plain-language prompts can build apps fast, plus the planning, testing, and security checks needed.

Since 2010, the Brazilian government has required that dams that fall within the national dam policy must present a safety plan, which, among other topics, must address the definition of the ...

-n--nodes TEXT Path to Node CSV file with the filename as the Node Label -N--nodes-with-label TEXT Node Label followed by path to Node CSV file -r--relations TEXT Path to Relationship CSV file with ...

PyPy, an alternative runtime for Python, uses a specially created JIT compiler to yield potentially massive speedups over CPython, the conventional Python runtime. But PyPy’s exemplary performance has ...

These tricks show how AI tools, new import formulas, and classic features improve productivity. Excel has outlasted many tech trends, and in the age of AI, it remains very much in the mix. While new ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...

Your browser does not support the audio element. Pandas is a Python library used for data analysis and manipulation on labeled datasets. The core mission of the ...

Thanks for all your contributions! At this time I'm not continuing development on the Python version of this tool. I'm happy to point to your projects if you decide to take over development on the ...