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

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...

0.1.18 Code quality overhaul: replaced os.system with subprocess, replaced eval with ast.literal_eval, migrated to Python logging module, added documentation for all CLI commands, removed setup.py in ...

When the Mojo language first appeared, it was promoted as being the best of two worlds, bringing the ease of use and clear syntax of Python, along with the speed and memory safety of Rust. For some ...

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 ...

PyApacheAtlas lets you work with the Azure Purview and Apache Atlas APIs in a Pythonic way. Supporting bulk loading, custom lineage, custom type definition and more from an SDK and Excel templates / ...

Copilot in Excel introduces new finance-focused capabilities that help teams work to their standards, use trusted financial data, and stay in control of every change. GPT‑5.5 Instant is now available ...

Introduction: The humble but heavy task of "graph creation" Processing data for experiments and verification takes more effort than it looks, doesn't it? Especially creating graphs. It's just a graph, ...