Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Learn about our ...

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 ...

Imagine transforming hours of tedious data work into mere minutes of productivity. That’s the promise of Microsoft Copilot in Excel, a new AI-powered assistant designed to transform how you manage, ...

pandas is the premier library for data analysis in Python. Here are some advanced things I like to do with pandas DataFrames to take my analysis to the next level. Change the index of a DataFrame On a ...

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 ...

What if the tools you already use could do more than you ever imagined? Picture this: you’re working on a massive dataset in Excel, trying to make sense of endless rows and columns. It’s slow, ...

This project is maintained again as of 2026-06. The current goal is to keep the original py2neo v3 / Neo4j 3.x example usable for learners, notebooks, and legacy projects while adding a current Neo4j ...