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 ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

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 ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

If you often use a computer for work, you've probably encountered some .csv files as part of your daily grind. On the surface, they may seem like a strange alternative to the far more well-known .xlsx ...

University of Liverpool computer scientists have solved a long standing algorithmic puzzle to speed up a core building block of Python, the most popular programming language and the foundation of ...

I made this command because I didn't have any tools to satisfy my modest desire to make it easy to import CSV files into DynamoDB. Written in a simple Python script, it's easy to parse and modify. It ...