In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

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 ...

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 ...

Spreadsheets have long been a cornerstone of data management, analysis, and reporting. But manually entering formulas and sorting through massive datasets can be time-consuming and error-prone. Enter ...

In the dynamic scene of Python development, understanding the qualification between frameworks and libraries is pivotal for extended success. Python frameworks give structure and support for building ...

Python's ascent to becoming one of the most popular programming languages is not merely a consequence of its simplicity and readability; it's also due to its robust capabilities in handling data ...

Trash is a massive carbon offender. Whether it sits in a landfill or burns in an incinerator, trash releases harmful greenhouse gases. And much of that waste could be repurposed or recycled, if only ...