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Titlebook: Introduction to Computational Thinking; Problem Solving, Alg Thomas Mailund Book 2021 Thomas Mailund 2021 programming.string.algorithms.sof

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發(fā)表于 2025-3-21 17:46:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Introduction to Computational Thinking
副標(biāo)題Problem Solving, Alg
編輯Thomas Mailund
視頻videohttp://file.papertrans.cn/474/473556/473556.mp4
概述An in-depth broad introduction to computational thinking.Uses the popular Python programming language.The author is an expert computational programmer and teacher
圖書封面Titlebook: Introduction to Computational Thinking; Problem Solving, Alg Thomas Mailund Book 2021 Thomas Mailund 2021 programming.string.algorithms.sof
描述.Learn approaches of computational thinking and the art of designing algorithms. Most of the algorithms you will see in this book are used in almost all software that runs on your computer...Learning how to program can be very rewarding. It is a special feeling to seeing a computer translate your thoughts into actions and see it solve your problems for you. To get to that point, however, you must learn to think about computations in a new way—you must learn computational thinking.. This book begins by discussing models of the world and how to formalize problems. This leads onto a definition of computational thinking and putting computational thinking in a broader context. The practical coding in the book is carried out in Python; you’ll get an introduction to Python programming, including how to set up your development environment...What You Will Learn.Think in a computational way.Acquire general techniques for problem solving.Seegeneral and concrete algorithmic techniques.Program solutions that are both computationally efficient and maintainable. .Who This Book Is For.?..Those new to programming and computer science who are interested in learning how to program algorithms and work
出版日期Book 2021
關(guān)鍵詞programming; string; algorithms; software; applications; data science; text analytics; text processing; imag
版次1
doihttps://doi.org/10.1007/978-1-4842-7077-6
isbn_softcover978-1-4842-7076-9
isbn_ebook978-1-4842-7077-6
copyrightThomas Mailund 2021
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-22 00:06:30 | 只看該作者
Introducing Python Programming,it is in fact written in an approximation to such a language but where the abstractions and programming constructs are chosen to make the algorithms look as simple as necessary. Since the goal of these books is to present the essentials of an algorithm and not distract the reader with unnecessary la
板凳
發(fā)表于 2025-3-22 03:13:50 | 只看該作者
地板
發(fā)表于 2025-3-22 06:32:44 | 只看該作者
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發(fā)表于 2025-3-22 12:16:12 | 只看該作者
Searching and Sorting,ement in them. These are central problems used as building blocks for a variety of other algorithms, and Python already has built-in functionality for solving them. You should practically always use the existing implementations; they are well engineered and optimized, so you are not likely to implem
6#
發(fā)表于 2025-3-22 15:31:06 | 只看該作者
Inner Functions,e assignment, you can also define a function. A function definition is just another type of statement. This means that you can define a function inside the body of another function. This is a power tool; it enables you to write very flexible and elegant code, but as with all power tools, there is al
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發(fā)表于 2025-3-22 17:42:48 | 只看該作者
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發(fā)表于 2025-3-22 22:15:34 | 只看該作者
Hidden Markov Models,lgorithms where dynamic programming is essential. Before we can start, however, we need a quick introduction to probability theory. If you are already familiar with probabilities, then you can safely skip the next two sections.
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發(fā)表于 2025-3-23 03:13:10 | 只看該作者
Class Hierarchies and Inheritance,programming career. But in object orientation, there is an additional feature for inheriting implementations from one class into another. You can build hierarchies of types, where some types can reuse code from other types. It is essential in the software engineering underlying many systems, and we
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發(fā)表于 2025-3-23 05:38:20 | 只看該作者
Sequences,ke our own implementations now. You are unlikely to need your own implementations of sequences, although there are alternative implementations where there are different trade-offs to the operations. Python’s implementation is efficient and easy to use, and there is no need to implement something you
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