cobble
发表于 2025-3-21 19:03:24
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讨好美人
发表于 2025-3-21 22:05:13
Introduction to Programming Concepts with Case Studies in Python
chronicle
发表于 2025-3-22 03:59:33
Introduction to Programming Concepts with Case Studies in Python978-3-7091-1343-1
原来
发表于 2025-3-22 06:36:44
The World of Programming,ature of the problem. The chapter also talks about the way programs are written and put into action by a computer, after which Python is introduced with a brief historical background and a small interaction.
Asymptomatic
发表于 2025-3-22 12:33:30
Data: The First Ingredient of a Program,ow the different basic data types are represented internally by the computer and how the structured data is organized in the memory. As case studies, the corresponding data types in Python are introduced. Lastly, the chapter covers the concept of “variables”, ., names that can be used to store and access data in memory.
可憎
发表于 2025-3-22 14:00:20
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健忘症
发表于 2025-3-22 20:07:07
Actions: The Second Ingredient of a Program,of the program (., conditionals) and the actions that can be reused again (., functions). Like other chapters, the discussions and the presentations are supported by the case studies and examples in Python.
懒鬼才会衰弱
发表于 2025-3-23 01:12:07
ing environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts. .978-3-7091-1744-6978-3-7091-1343-1
最有利
发表于 2025-3-23 03:07:24
Managing the Size of a Problem,that are widely used in the world of programming. Tips for the construction of an efficient iterative solution are also given. Finally, the advantages and disadvantages of recursion and iteration are discussed in depth. While covering recursion and iteration, examples and case studies are provided in Python.
注意到
发表于 2025-3-23 07:11:23
,A Measure for ‘Solution Hardness’: Complexity,lgorithms with which a programmer can estimate comparative performance of available algorithms without necessarily implementing them. The chapter talks about the different notations that are used for analyzing the complexity of algorithms and how they can be computed from any given algorithm.