Master Pandas: Real-World Data Analysis with Python

Introduction to Pandas and Setup

Creating and Accessing a Pandas Series

Series Attributes and First Look

Missing Values and Dropping Items in a Series

Series Statistics and Unique Values

Sorting, Membership and Modifying a Series

String Methods with the .str Accessor

Creating a Pandas DataFrame

Loading a DataFrame from CSV with read_csv

Selecting Rows with loc, iloc, at and iat

DataFrame Attributes and Shape

Adding, Modifying, Renaming and Deleting Rows and Columns

Indexing and Filtering a DataFrame

Iterating Over a DataFrame

Arithmetic Operations Between DataFrames

Summary Statistics for a DataFrame

Measuring Spread: Std, Variance, Quartiles and Skew

Cumulative Functions, Correlation and Covariance

Reshaping Data with pivot and pivot_table

Handling Missing Data in a DataFrame

Combining DataFrames and Grouping