These chapters are meant to be read in order as they start with foundational concepts used to build up more complex ideas.
Chapter 02 -- Data Sctructures
Chapter 03 -- Data Types and Formatting
Chapter 05 -- Understanding Indexes
Setting and resetting Indicies
Mixing .loc indexer with Boolean Operations
Altering DataFrame values using the .loc indexer
Conditionaly Apply Values Based on Another Column Value
Chapter 06 Hierarchical Indexing
xs() method for Cross-sections
Advanced Indexing with .loc Indexer
Using Boolean Operators with .loc Indexer
Outer Join no Matched Keys in Right
GroupBy: Split-Apply-Combine Introduction
Replace Missing Values with Group Mean
FIRST.variable and LAST.variable Processing
Chapter 08 -- Date, Time and Timepart Objects
String Literal Mapped to datetime timestamp
strfime() and strptime() methods
Chapter 09 -- Panda Time Series and Date Handling
Creating and Manipulating a Fixed Frequency of Dates and Time Spans
Returning Unique Levels of Categories
Return a Row Using a Minimum Value
Return a Row Using a Maximum Value
Convert Time-Series from one Frequency to Another
Applying Transformations to Groups
Chapter 12 -- Additional Data Handling