How to Think Like a Computer Scientist: Learning with Python

Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/21476

Full metadata record

DC Field	Value	Language
dc.contributor.author	Downey, Allen	en_US
dc.date.accessioned	2016-06-18T01:52:22Z
dc.date.available	2016-06-18T01:52:22Z
dc.date.issued	2008	en_US
dc.identifier.other	HPU3160237	en_US
dc.identifier.uri	https://lib.hpu.edu.vn/handle/123456789/21476	en_US
dc.description.abstract	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.	en_US
dc.format.extent	280tr.	en_US
dc.format.mimetype	application/pdf	en_US
dc.language.iso	en	en_US
dc.publisher	Green Tea Press	en_US
dc.subject	Computer Science	en_US
dc.subject	Information System	en_US
dc.subject	Python	en_US
dc.title	How to Think Like a Computer Scientist: Learning with Python	en_US
dc.type	Book	en_US
dc.size	1,001Kb	en_US
dc.department	ICT	en_US
Appears in Collections:	ICT

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