This notebook demonstrates how to clean and validate ISBN numbers using Python.It introduces a simple workflow to identify and correct formatting inconsistencies in ISBN-10 and ISBN-13 numbers.You will learn to use string methods, regular expressions, and conditional logic to ensure that
This notebook introduces basic data visualization with seaborn using the built-in penguin dataset.It demonstrates simple univariate and multivariate plots and explains how to customize them with seaborn and matplotlib.
Learning goalsAfter completing this notebook,
This notebook introduces the pandas library for data handling and analysis in Python.It covers how to create, inspect, and manipulate DataFrame and Series objects,how to select and filter data, and how to perform basic operations such as aggre
DataFrame
Series
This notebook demonstrates how to combine and manipulate tabular data with pandas.It covers the most commonly used methods for joining DataFrames (merge), applying functions to columns (apply), and grouping data (groupby).All examples use synthetic d
merge
apply
groupby