We caught up with two professional python hunters and asked them what are the "essentials" that help them be successful in ...

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 ...

Optimized apps and websites start with well-built code. The truth, however, is that you don't need to worry about performance in 90% of your code, and probably 100% for many scripts. It doesn't matter ...

This repo is intended to be a set of useful scripts for getting and converting Open Building Datasets using Cloud Native Geospatial formats. Initially the focus is on Google's Open Buildings dataset ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

Over the last month, Google has announced a number of advancements to how they will be measuring user experience through key speed and performance metrics. Coincidentally, I have been working on ...