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Introduction to Computer Science in Python: Principles and Practice (27 May 2026) - Home Introduction to Computer Science in Python: Principles and Practice (27 May 2026) - Home
  • Introduction to Computer Science in Python
  • Context
    • Motivation for This Book
    • Resources Online
    • Computer Science, Broadly
    • Chapter Review Questions
  • Episodes in Computing History
  • Hardware and Software
  • The Terminal and Python Setup
    • The Terminal
    • Installing and Setting Up Python
  • Python Data and Operations
    • A Sample Python Program
    • Lab: Editing and Running Python Programs
    • Arithmetic
    • Variables and Assignment
    • Reading Python Syntax
    • Strings, Part I
    • Writing to the Screen
    • Python Program Structure
    • Combining Input and Output
    • String Special Cases
    • F-Strings and String Formatting
    • Types and Conversions
    • Learning to Solve Problems
    • Lab: Division Sentences
    • Chapter Review Questions
  • Defining Functions of Your Own
    • A First Function Definition
    • Multiple Function Definitions
    • Function Parameters
    • Multiple Function Parameters
    • Returned Function Values
    • Type Hints for Functions
    • Two Roles: Writer and Consumer of Functions
    • Local Scope
    • Library Modules
    • Chapter Review Questions
  • Modules and Variable Scope
  • Basic String Operations
    • String Indexing and Slicing
    • String Methods and Length
    • A Creative Problem Solution
    • Lab: String Operations
    • Chapter Review Questions
  • Decisions
    • Conditions
    • More Conditional Expressions
    • Compound Boolean Expressions
    • Simple if Statements
    • if-elif-else Statements
    • Nested if Statements
    • If-Statement Pitfalls
    • Chapter Review Questions
  • User Input
  • While Loops
    • While Statements
    • User Input Utilities
    • Interactive while Loops
    • While Loops with Sequences
    • While Loop Examples
    • Greatest Common Divisor
    • Lab: Number Guessing Game
    • Chapter Review Questions
  • For Loops
    • For Loop Syntax
    • The range() Function
    • For Loop Examples
    • List Comprehensions
    • Lab: Nested Loops
    • Chapter Review Questions
  • Files, Paths, and Directories
    • Path Strings
    • Reading Files
    • Writing Files
    • Working with pathlib
    • Chapter Review Questions
  • Error Handling
  • Lists
    • List Syntax
    • List Methods
    • Searching
    • Sorting
    • Lab: Lists
    • Chapter Review Questions
  • Linear Algebra in Python
    • Why Linear Algebra?
    • Vectors
    • Matrices
    • Applications: From Algebra to AI
  • Tuples
    • Tuple Syntax
    • Tuple Examples
    • Tuple Unpacking
    • Chapter Review Questions
  • Dictionaries
    • Dictionary Syntax
    • Dictionary Examples
    • Dictionary Efficiency
    • Lab: File Data and Collections
    • Chapter Review Questions
  • Lists of Dictionaries
  • Dictionary Algorithms
  • Internet Data
    • Internet Data
    • Case Study: Chicago 311 Graffiti Data
  • Data Analysis with Pandas
    • Data Analysis with Pandas
  • Monte Carlo Simulation
  • Classes and Object-Oriented Programming
    • A First Example of Class Instances
    • Class Instance Examples
    • Planning a Class Structure
    • Python Dataclasses and Named Tuples
    • The Rational Class
    • Chapter Review Questions
  • Testing
    • Introduction to pytest
    • Writing Effective Tests
    • Chapter Review Questions
  • Recursion
    • Introduction to Recursion
    • Recursion Examples
    • Recursive Filesystem Traversal
    • Recursive Descent Parsing
    • Chapter Review Questions
  • Data Structures
    • Stacks and Queues
    • Linked Lists
    • Chapter Review Questions
  • Terminal User Interfaces with Rich and Textual
  • Case Studies
    • Case Study: Monte Carlo Simulation
    • Case Study: Chicago 311 Graffiti Data
  • Alignment with ACM/IEEE Curriculum Standards
  • Appendix
    • Suggested 15-Week Lesson Plan
    • Contributors
    • Contributing Guidelines
    • Acknowledgments
    • Command Line Introduction
    • Operator Precedence
    • Homework: Grade Calculation
    • Lab: Version Control
  • Index
  • Repository
  • Open issue

Data Analysis with Pandas

Data Analysis with Pandas#

  • Data Analysis with Pandas
    • Creating a DataFrame
    • Summary Statistics
    • Selecting Rows and Columns
    • Filtering and Sorting
    • Grouping Rows
    • Plotting a Bar Chart
    • Reading Data from CSV
    • Exercises

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Case Study: Chicago 311 Graffiti Data

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Data Analysis with Pandas

By Loyola University Chicago Computer Science Department; Edited by George K. Thiruvathukal

© Copyright 2026, Loyola University Chicago Computer Science Department.

Last updated on 27-May-2026 16:19:55.