Features

Impart data analytics skills
Explore programming to access, prepare, analyze, and present data.

Explore the power and convenience of Python notebooks
Traditional introductions teach computer programming primarily as a sequence of statements called programs. Today, Python is still used in programs but it is also used for interactive data analysis and in a hybrid technique called a notebook. This text introduces all three approaches.

Jumpstart learning with spreadsheet analogies
As appropriate, analogies are presented relating Python concepts to spreadsheets to leverage students' prior knowledge. To watch Professor Groner discuss spreadsheet analogies and videos click here.

Animate learning
Key programs are animated and narrated using "CodeInMotion" videos that reveal the "living and breathing" dynamics of code. (see the "Videos" section.)

Cement understanding
In-class exercises assure that students can apply each successive concept.

Prepare students for business
Highly-relevant examples are drawn from finance, logistics, marketing, accounting, health, and other functional areas. They are real (or realistic), not too complex, and explained in detail.

New in Edition 2.0

Provide increased coverage
Based on recommendations from users, more coverage of the following key topics are provided:

• A new chapter on simulation
  
• An expanded chapter on accessing and employing web APIs including the New York Times API (for news retrieval) and Google Gemini API (for AI model integration)
  
  
• New appendices covering NumPy and Matplotlib providing a structured, deeper exposure
  
  
• A new appendix on Python's useful os module
  
  
• Detailed coverage of strings
  
  
• Coverage of Visual Studio Code, the csv module, f-strings and match/case statements

Prepare richer exams
The test bank has been expanded to provide more cross-concept question and different types of questions.

Optionally skip basic material
The flexible coverage of the textbook has been enhanced with the inclusion of "In Brief" appendices on reading files, lists, and dictionaries. This facilitates accelerated coverage for those instructors who wish to focus on later material.