MARC状态：审校 文献类型：西文图书 浏览次数：14
- 题名/责任者:
- Exercises in programming style / Cristina Videira Lopes.
- 版本说明:
- Second edition.
- 出版发行项:
- Boca Raton : CRC Press, [2020]
- 出版发行项:
- ?2021
- ISBN:
- 9780367350208
- ISBN:
- 0367350203
- ISBN:
- 9780367360207
- 载体形态项:
- xxiii, 336 pages : illustrations (black and white) ; 24 cm
- 个人责任者:
- Lopes, Cristina Videira, author.
- 论题主题:
- Computer programming.
- 中图法分类号:
- TP311
- 一般附注:
- Date of publication on title page verso: 2021, actually published in 2020.
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- Part I : Historical. Good old times -- Go forth -- Arrays -- Part II : Basic styles. Monolithic -- Cookbook -- Pipeline -- Code golf -- Part III : Function composition. Infinite mirror -- Kick forward -- The one -- Part IV : Objects and object interaction. Things -- Letterbox -- Closed maps -- Abstract things -- Hollywood -- Bulletin board -- Part V ; Reflection and metaprogramming. Introspective -- Reflective -- Aspects -- Plugins -- Part VI : Adversity. Constructivist -- Tantrum -- Passive aggressive -- Declared intentions -- Quarantine -- Part VII : Data-centric. Persistent tables -- Spreadsheet -- Lazy rivers -- Part VIII : Concurrency. Actors -- Dataspaces -- Map reduce -- Double map reduce -- Part IX : Interactivity. Trinity -- Restful -- Neural networks. Dense, shallow, under control -- Dense, shallow, out of control -- Bow tie -- Neuro-monolithic -- Sliding window -- Recurrent.
- 摘要附注:
- "Using a simple computational task (term frequency) to illustrate different programming styles, this book helps readers understand the various ways of writing programs and designing systems. It is designed to be used in conjunction with code provided on an online repository. The book complements and explains the raw code in a way that is accessible to anyone who regularly practices the art of programming. The first edition was honored as an ACM Notable Book and praised as "The best programming book of the decade." This new edition retains the same presentation but has been upgraded to Python 3, and there is a new section on neural network styles"--
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