Survival analysis, the branch of statistics devoted to modeling the time until an event occurs, has long been a stronghold of ...

The volume and variety of enterprise data collected for analytics and AI applications continue to increase. To gain valuable business insights from these complex data assets, organizations are also ...

This book introduces Python as a tool for digging into data to inform business decisions. Joseph Schmuller assumes no knowledge of coding and shows how to apply Python to statistical analysis tasks.

Python has grown to become one of the top programming languages in the world, with more developers than ever now using it for data analysis, machine learning, DevOps, and web development. Data ...

Python has some wonderful libraries for statistical analysis, but they might be overkill for simple tasks. The built-in statistics library might be what you want instead. Here are some things you can ...

Data science brings several skills together. Python helps learners work with data programmatically, statistics provides a way to test assumptions and interpret uncertainty, and machine learning adds ...

Researchers in Graz have developed GluCINDa, an open-source Python tool that deterministically harmonises continuous glucose ...

Artificial intelligence may be Python’s killer app, but there’s still an art and a science to integrating Python tools into your workflow. The way to get the best from Python, aka “the lingua franca ...