Competitive Programming in Python
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Competitive Programming in Python
Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions.
Competitive Programming in Python
Nº de artículo: 44725551

Competitive Programming in Python

88% of respondents would recommend this to a friend

Nº de artículo: 44725551

BOB 411

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Learn all the algorithmic techniques and programming skills you need from two experienced coaches, problem setters, and jurors for coding competitions.
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What Stands Out

Comprehensive Guide
This book offers an extensive overview of competitive programming techniques and Python implementations, making it ideal for both beginners and seasoned programmers looking to enhance their skills.
Practical Exercises
Includes a variety of hands-on problems and competitive scenarios that help readers apply what they've learned and effectively prepare for competitions.
Clear Examples
Utilizes clear, detailed examples and explanations that facilitate understanding complex algorithms and data structures, making it easier for readers to grasp essential concepts.

Detalles de producto

Get the best Python Competitive Programming book - 1st Edition at Ubuy Bolivia. Improve your programming skills with this comprehensive guide!
  • Learn algorithmic techniques and programming skills from experienced coaches, problem setters, and coding competition jurors
  • Master 128 algorithms in Python and implement them in simple and efficient code
  • Explore classic algorithms like Dijkstra's shortest path and Knuth-Morris-Pratt's string matching, as well as lesser-known data structures like Fenwick trees and Knuth's dancing links
  • Understand the framework for algorithmic problem-solving, covering aspects such as definition, complexity, applications, key information, implementation, variants, practical use, and problems
  • Includes Python code in the book and on the companion website for practical implementation
Publisher Cambridge University Press
Publication date January 15, 2021
Edition 1st
Language English
Print length 264 pages
ISBN-10 1108716822
ISBN-13 978-1108716826
Item Weight 1.01 pounds (460 grams)
Dimensions 6.69 x 0.6 x 9.61 inches (17 x 1.5 x 24.4 cm)

Who Should Buy?

Suitable For
  • Beginner Programmers

    Ideal for those new to programming and looking to enhance their coding skills in Python through competitive challenges.

  • Students and Learners

    Useful for students who want to improve their algorithmic problem-solving skills in preparation for coding competitions.

  • Python Enthusiasts

    Great for Python users who wish to apply their knowledge in competitive scenarios and solve complex programming problems.

Not Suitable For
  • Advanced Developers

    Not suitable for experienced programmers who already have a strong foundation in competitive programming concepts and practices.

DESCRIPCIÓN DEL PRODUCTO

Competitive Programming in Python

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Python Editorial Review

Competitive Programming in Python is an essential resource published by Cambridge University Press that dives into the intricacies of programming competitiveness, ideal for aspiring programmers. The book, released on January 15, 2021, features a comprehensive 264-page guide that is both accessible and in-depth, making it a valuable addition to any programmer's library. It not only covers core programming concepts in Python but also offers practical exercises that sharpen problem-solving skills. The clear structure allows both beginners and experienced coders to benefit from its insights, facilitating a smoother learning curve while tackling algorithmic challenges.

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ventajas

  • Published by a reputable publisher
  • Comprehensive content on competitive programming
  • Practical exercises enhance learning
  • Ideal for both beginners and experienced programmers
  • Well-structured for effective understanding

Contras

  • No recent updates or editions available

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características y beneficios

  • Master 128 algorithms in Python
  • Discover the right way to tackle a problem and quickly implement a solution of low complexity
  • Features classic problems like Dijkstra's shortest path algorithm and Knuth-Morris-Pratt's string matching algorithm
  • Includes lesser known data structures like Fenwick trees and Knuth's dancing links
  • Provides a framework to tackle algorithmic problem solving
  • Python code included in the book and on the companion website

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