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Classic computer science problems in Python /
Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Shelter Island, NY :
Manning Publications,
[2019]
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 035 | |a (OCoLC)1100643365 | ||
| 037 | |a CL0501000047 |b Safari Books Online | ||
| 050 | 4 | |a QA76.73.P98 | |
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| 049 | |a UAMI | ||
| 100 | 1 | |a Kopec, David, |e author. | |
| 245 | 1 | 0 | |a Classic computer science problems in Python / |c David Kopec. |
| 264 | 1 | |a Shelter Island, NY : |b Manning Publications, |c [2019] | |
| 264 | 4 | |c Ã2019 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed May 1, 2019). | |
| 500 | |a "Covers Python 3.7"--Cover | ||
| 500 | |a Includes index. | ||
| 520 | |a Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview! | ||
| 505 | 0 | |a Introduction. Why Python? -- What is a classic computer science problem? -- What kinds of problems are in this book? -- Who is this book for? -- Python versioning, source code repository, and type hints -- No graphics, no UI code, just the standard library -- Small problems -- Search problems -- Constraint-satisfaction problems -- Graph problems -- Genetic algorithms -- K-means clustering -- Fairly simple neural networks -- Adversarial search -- Miscellaneous problems. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Computer programming. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Programmation (Informatique) | |
| 650 | 7 | |a computer programming. |2 aat | |
| 650 | 7 | |a Computer programming |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781617295980/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL6642856 | ||
| 938 | |a YBP Library Services |b YANK |n 302272903 | ||
| 994 | |a 92 |b IZTAP | ||