which is arguably the most popular graphing and data visualization library for Python. Here, we use plt.hist() function to plot a histogram. frequencies are passed as the ages list. Range could be set ...

In comparison, using the call-stack depth-first traversal algorithms can be very fast, although this code is in pure python so both could have been ... The code for doing this is provided but unused ...

A fourth way to export and share your charts and graphs in Python is to use a cloud service that lets you upload, store, and share your plots online. This can be convenient for collaborating with ...