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Competitive Programming in Python
Want to kill it at your job interview in the tech industry? Want to win that coding
competition? Learn all the algorithmic techniques and programming skills you need
from two experienced coaches, problem-setters, and judges for coding competitions.
The authors highlight the versatility of each algorithm by considering a variety of
problems and show how to implement algorithms in simple and efficient code. What
to expect:
* Master 128 algorithms in Python.
* Discover the right way to tackle a problem and quickly implement a solution of low
complexity.
* Understand classic problems like Dijkstra’s shortest path algorithm and
Knuth–Morris–Pratt’s string matching algorithm, plus lesser-known data structures
like Fenwick trees and Knuth’s dancing links.
* Develop a framework to tackle algorithmic problem solving, including: Definition,
Complexity, Applications, Algorithm, Key Information, Implementation, Variants,
In Practice, and Problems.
* Python code included in the book and on the companion website.
Christoph Dürr
is a senior researcher at the French National Center for Scientific
Research (CNRS), affiliated with the Sorbonne University in Paris. After a PhD in
1996 at Paris-Sud University, he worked for one year as a postdoctoral researcher at
the International Computer Science Institute in Berkeley and one year in the School
of Computer Science and Engineering in the Hebrew University of Jerusalem in
Israel. He has worked in the fields of quantum computation, discrete tomography and
algorithmic game theory, and his current research activity focuses on algorithms and
optimisation. From 2007 to 2014, he taught a preparation course for programming
contests at the engineering school École Polytechnique, and acts regularly as a
problem setter, trainer, or competitor for various coding competitions. In addition, he
loves carrot cake.
Jill-Jênn Vie
is a research scientist at Inria in machine learning. He is an alumnus
from École normale supérieure Paris-Saclay, where he founded the algorithmic club
of Paris-Saclay (CAPS) and coached several teams for the International Collegiate
Programming Contest (ICPC). He published a book in theoretical computer science
to help students prepare for prestigious French competitive exams such as
Grandes
Écoles
or
agrégation,
and directed a television show “Blame the Algorithm” about
the algorithms that govern our lives. He is part of the advisory board of the French
Computer Science Society (SIF), itself a member of the International Federation for
Information Processing (IFIP).
Competitive Programming
in Python
128 Algorithms to Develop Your Coding Skills
CHRISTOPH DÜRR
CNRS, Sorbonne University
JILL-JÊNN VIE
Inria
Translated by Greg Gibbons and Danièle Gibbons
University Printing House, Cambridge CB2 8BS, United Kingdom
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Cambridge University Press is part of the University of Cambridge.
It furthers the University’s mission by disseminating knowledge in the pursuit of
education, learning, and research at the highest international levels of excellence.
www.cambridge.org
Information on this title:
www.cambridge.org/9781108716826
DOI:
10.1017/9781108591928
© Cambridge University Press 2021
Translation from the French language edition:
Programmation efficace - 128 algorithmes qu’il faut avoir compris et codés en Python au cour de sa vie
By Christoph Dürr & Jill-Jênn Vie
Copyright © 2016 Edition Marketing S.A.
www.editions-ellipses.fr
All Rights Reserved
This publication is in copyright. Subject to statutory exception
and to the provisions of relevant collective licensing agreements,
no reproduction of any part may take place without the written
permission of Cambridge University Press.
First published 2021
Printed in the United Kingdom by TJ Books Limited, Padstow Cornwall
A catalogue record for this publication is available from the British Library.
Library of Congress Cataloging-in-Publication Data
Names: Dürr, Christoph, 1969– author.
|
Vie, Jill-Jênn, 1990– author.
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Gibbons, Greg, translator.
|
Gibbons, Danièle, translator.
Title: Competitive programming in Python : 128 algorithms to develop your
coding skills / Christoph Dürr, Jill-Jênn Vie ; translated by Greg
Gibbons, Danièle Gibbons.
Other titles: Programmation efficace. English
Description: First edition.
|
New York : Cambridge University Press, 2020.
|
Includes bibliographical references and index.
Identifiers: LCCN 2020022774 (print)
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LCCN 2020022775 (ebook)
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ISBN 9781108716826 (paperback)
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ISBN 9781108591928 (epub)
Subjects: LCSH: Python (Computer program language)
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Algorithms.
Classification: LCC QA76.73.P98 D8713 2020 (print)
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LCC QA76.73.P98
(ebook)
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DDC 005.13/3–dc23
LC record available at
https://lccn.loc.gov/2020022774
LC ebook record available at
https://lccn.loc.gov/2020022775
ISBN 978-1-108-71682-6 Paperback
Cambridge University Press has no responsibility for the persistence or accuracy of
URLs for external or third-party internet websites referred to in this publication
and does not guarantee that any content on such websites is, or will remain,
accurate or appropriate.
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