Python Practice Lab

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A01=Angelica Lim
A01=Victor Cheung
algorithm design
APIs
approachable variables
artificial intelligence
Author_Angelica Lim
Author_Victor Cheung
beginner programming
big data
Category=UM
Category=UMA
Category=UMX
chatbot development
classes
classroom-tested
code clarity
code comprehension
code optimization
code reusability
coding practice
coding projects
complete programs
computational thinking
computer science fundamentals
computer vision
conditionals
console applications
control structures
conversational programming
data structures
debugging
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_new_release
eq_nobargain
eq_non-fiction
error handling
file handling
functional programs
functions
hands-on programming
inclusive programming
input output
interactive chatbots
interactive programming
learn to program
libraries
loops
machine learning basics
modular programming
modules
natural language processing
object-oriented programming
objects
open-ended exercises
problem solving
procedural programming
program structure
programming best practices
programming concepts
programming creativity
programming education
programming exercises
programming fundamentals
programming logic
programming methodology
programming patterns
programming pedagogy
programming workbook
Python for beginners
Python practice
Python programming
Python tutorials
readable code
recommendation systems
software development
string manipulation
testing
text processing
text-based interfaces
user interaction

Product details

  • ISBN 9780691243603
  • Weight: 318g
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Mar 2026
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
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A guide to learning basic programming by writing fun, working programs that gradually become more complex

This classroom-tested, workbook-style text teaches basic programming by guiding readers to write Python programs that mimic interactive chatbots. Unlike textbooks with opaque examples explained in dry, monotonous code, Python Practice Lab engages readers immediately, with more than thirty motivating and hands-on examples. Readers learn by writing fun, working programs that gradually become more difficult as new concepts are introduced. Most exercises are open ended, promoting creativity in the process of learning. Along with coding practice, the book offers brief introductions to a range of other topics in computer science, including recommendation systems, computer vision, and big data, and relates these subjects to the programming concepts covered in the book. Python Practice Lab will be an essential resource for anyone who wants to learn to program, instructors teaching Python to beginners, and students who want to supplement their coursework by building complete and functional programs.

  • Uses natural language and text strings rather than math as the main building blocks for learning about program structure
  • Rewrites code comprehension exercises in equivalent code with inclusive and approachable variables rather than terse, single-letter variables
  • Challenges readers to write a full program in each chapter
  • Presents a selection of projects at the end of the book that integrates the concepts introduced in previous chapters
Angelica Lim is assistant professor in computing science at Simon Fraser University. An award-winning roboticist and a champion for diversity in computer science, she is the founder of Invent the Future, a summer enrichment program at SFU begun in partnership with the nonprofit AI4ALL. Victor Cheung is lecturer in computing science at Simon Fraser University. An experienced educator teaching a wide range of computer science courses from general introduction to programming to specialized human-centered computing, he is an advocate for improving user experience and user empowerment via user-centered design approaches.

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