In statistics, bootstrapping is a method that estimates the population characteristics by using repeated sampling with replacement of a representative sample. Bootstrap sampling is a technique that enables researchers to estimate parameters like the mean for an entire population without explicitly considering each and every data point in the population. Instead of looking at the entire population, multiple subsets all of the same size taken from the population are looked at.
Page Transactions as a new way to organize your testing automation
The pattern Guará is the Python implementation of the design pattern Page Transactions. It is more of a programming pattern than a tool. As…