In this post, you’ll learn Python division, the different ways in which division works in Python 3, as well as some of its unexpected quirks. You’ll learn how to use both integer and floor division in Python, as well as how to interpret some of its less expected results.
Learn how to create a Seaborn boxplot, including how to add styles, titles, axis labels and add grouped boxplots.
Learn how to use the Seaborn line plot andrelplot functions to create beautiful line charts, add titles, customize styles, multiple line charts.
Learn how to use the Seaborn barplot and countplot functions to create beautiful bar charts, add titles, customize styles, group bar charts.
Learn the ways in which you can rename Pandas columns, using Pandas .rename() method. Learn how to rename one, all, including automatically.
Learn how to create Matplotlib scatter charts, including how to customize colours, add titles, change transparency and size of markers.
Learn how to create Matplotlib bar charts, including how to customize bar colours, add titles, stacked and double bar charts.
Learn how to make Matplotlib line charts, including how to add multiple lines, customize labels, add data labels, and add a legend.
Learn different ways to reorder Pandas columns, including the Pandas reindex function as well as a custom function.
The pandas get dummies function allows you to easily one-hot encode your data sets for use in machine learning algorithms.
In this post, you’ll learn how to calculate relative frequencies and absolute frequencies using pure Python, as well as the popular data science library, Pandas. A relative frequency, measures how often a certain value occurs in a dataset, relative to
Learn how to calculate custom a Pandas fiscal year and how to format these fiscal years in custom ways.
