9 From Pyret to Python
9.1 From Pyret to Python
9.1.1 Expressions, Functions, and Types
9.1.2 Returning Values from Functions
9.1.3 Examples and Test Cases
9.1.4 An Aside on Numbers
9.1.5 Conditionals
9.1.6 Creating and Processing Lists
9.1.6.1 Filters, Maps, and Friends
9.1.7 Data with Components
9.1.7.1 Accessing Fields within Dataclasses
9.1.8 Traversing Lists
9.1.8.1 Introducing For Loops
For
9.1.8.2 An Aside on Order of Processing List Elements
9.1.8.3 Using For Loops in Functions that Produce Lists
9.1.8.4 Summary: The List-Processing Template for Python
9.2 Dictionaries
9.2.1 Creating and Using a Dictionary
9.2.2 Searching Through the Values in a Dictionary
9.2.3 Dictionaries with More Complex Values
9.2.4 Dictionaries versus Dataclasses
Summary
9.3 Arrays
9.3.1 Two Memory Layouts for Ordered Items
9.3.2 Iterating Partly through an Ordered Datum
10 Tables in Python via Pandas
10.1 Introduction to Pandas
10.1.1 Pandas Table Basics
10.1.1.1 Core Datatypes: DataFrame and Series
10.1.1.2 Creating and Loading DataFrames
10.1.1.3 Using Labels and Indices to Access Cells
10.1.2 Filtering Rows
10.1.3 Cleaning and Normalizing Data
10.1.3.1 Clearing out unknown values
10.1.3.2 Repairing Values and Column Types
10.1.4 Computing New Columns
10.1.5 Aggregating and Grouping Columns
10.1.6 Wide Versus Tall Data
Converting Between Wide and Tall Data
10.1.7 Plotting Data
10.1.8 Takeaways
10.2 Reshaping Tables
10.2.1 Binning Rows
10.2.2 Wide versus Tall Datasets