Python Histogram Descriptionting NumPy, MatDescriptionlib, Pandas & Seaborn

If you have introductory to intermediate knowledge in Python and statistics, then you can use this article as a one-stop shop for building and Descriptionting histograms in Python using libraries from its scientific stack, including NumPy, MatDescriptionlib, Pandas, and Seaborn.
A histogram is a great tool for quickly assessing a probability distribution that is intuitively understood by almost any audience. Python offers a handful of different options for building and Descriptionting histograms. Most people know a histogram by its graphical representation, which is similar to a bar graph:
This course will guide you through creating Descriptions like the one above as well as more complex ones. Here's what you'll cover:
Building histograms in pure Python, without use of third party libraries
Constructing histograms with NumPy to summarize the underlying data
Descriptionting the resulting histogram with MatDescriptionlib, Pandas, and Seaborn
Homepage
https://realpython.com/courses/python-histograms/