How to Think Like a Computer Scientist: Learning with Python

dc.contributor.author	Downey, Allen
dc.contributor.author	Elkner, Jeff
dc.contributor.author	Meyers, Chris
dc.date.accessioned	2025-06-23T08:10:28Z
dc.date.available	2025-06-23T08:10:28Z
dc.date.issued	2021
dc.description	281 p.
dc.description.abstract	How to Think Like a Computer Scientist: Learning with Python is an introduction to programming using Python. Table of Contents: Chapter 1: The way of the program Chapter 2: Variables, expressions and statements Chapter 3: Functions Chapter 4: Conditionals and recursion Chapter 5: Fruitful functions Chapter 6: Iteration Chapter 7: Strings Chapter 8: Lists Chapter 9: Tuples Chapter 10: Dictionaries Chapter 11: Files and exceptions Chapter 12: Classes and objects Chapter 13: Classes and functions Chapter 14: Classes and methods Chapter 15: Sets of objects Chapter 16: Inheritance Chapter 17: Linked lists Chapter 18: Stacks Chapter 19: Queues Chapter 20: Trees Appendix A: Debugging Appendix B: Creating a new data type Appendix D: Recommendations for further reading Index
dc.identifier.uri	https://oerrepository.ntt.edu.vn/handle/298300331/748
dc.language.iso	en
dc.publisher	Green Tea Press
dc.subject	Computer Scientist
dc.subject	Python
dc.subject	Computer learning
dc.title	How to Think Like a Computer Scientist: Learning with Python
dc.type	Book
dcterms.license	Creative Commons Attribution 4.0 International