This gives me a unique vantage point from which to evaluate coding assistants’ performance. Until recently, the most common ...

Overview: Prior knowledge of the size and composition of the Python dataset can assist in making informed choices in programming to avoid potential performance ...

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 ...

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 ...

We have seen how to read data from a file, either in unstructured text or CSV format, and how to write data in these formats. We’ve also seen how to read and write JSON. In this chapter we’ll see how ...

This article is adapted from an edition of our Off the Charts newsletter originally published in October 2021. Off the Charts is a weekly, subscriber-only guide to The Economist’s award-winning data ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading processes building hierarchical cognitive structures. For instance, during speech ...