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Cracking the Coding Interview

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Cracking the Coding Interview: 189 Programming Questions and Solutions is a textbook by Gayle Laakmann McDowell about coding interviews.[1] It describes common problems in computer science that candidates are asked to solve, typically on a whiteboard during job interviews at big technology companies such as Google, Apple, Microsoft, Amazon.com, Facebook and Palantir Technologies.[2][3][4]

Cracking the Coding Interview: 189 Programming Questions and Solutions
AuthorGayle Laakmann McDowell
SubjectAlgorithms
Data structures
Job interviews
Coding interviews
PublisherCareerCup
ISBN9780984782857
OCLC913477191
Websitewww.crackingthecodinginterview.com

First published in 2008, it has been translated into seven languages: Russian, Simplified Chinese, Traditional Chinese, Japanese, Polish, Spanish, and Korean. It describes solutions to common problems set in coding job interviews.[5][6] The sixth edition of the textbook was published in 2015.[1]

As of 2020, according to Amazon.com,[7] Cracking the Coding Interview ranks in the top 600 of all books sold on Amazon in the United States.[7] The book has been cited in peer reviewed scientific papers.[8][9][10][11]

References

  1. ^ a b McDowell, Gayle Laakmann (2015). Cracking the coding interview : 189 programming questions and solutions (6th ed.). Palo Alto, CA: CareerCup. p. 679. ISBN 978-0-9847828-5-7. OCLC 913477191.
  2. ^ Byte By Byte, Sam (2019). "How to use Cracking the Coding Interview Effectively". youtube.com.
  3. ^ TechLead (2019). "Cracking the Coding Interview (in 5 simple steps, for software engineers)". youtube.com.
  4. ^ Sonmez, John (2015). "Cracking The Coding Interview: 12 Things You Need To Know". dzone.com.
  5. ^ Ravisankar, Vivek (2018). "Gayle Laakmann McDowell Deconstructs the Engineering Interview Process". hackerrank.com. HackerRank. Archived from the original on 2019-12-31.
  6. ^ McDowell, Gayle Laakman (2012). "Tips to Crack the Coding Interview". youtube.com. Dice.com.
  7. ^ a b "Cracking the Coding Interview: 189 Programming Questions and Solutions 6th Edition". amazon.com.
  8. ^ Wyrich, Marvin; Graziotin, Daniel; Wagner, Stefan (2019). "A theory on individual characteristics of successful coding challenge solvers". PeerJ Computer Science. 5: e173. doi:10.7717/peerj-cs.173. ISSN 2376-5992.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  9. ^ Hall Jr., Phillip; Gosha, Kinnis (2018). "The Effects of Anxiety and Preparation on Performance in Technical Interviews for HBCU Computer Science Majors": 64–69. doi:10.1145/3209626.3209707. {{cite journal}}: Cite journal requires |journal= (help)
  10. ^ Athavale, Vinayak; Naik, Aayush; Vanjape, Rajas; Shrivastava, Manish (2019). "Predicting Algorithm Classes for Programming Word Problems". arXiv:1903.00830. A bot will complete this citation soon. Click here to jump the queue
  11. ^ Ford, Denae; Barik, Titus; Rand-Pickett, Leslie; Parnin, Chris (2017). "The Tech-Talk Balance: What Technical Interviewers Expect from Technical Candidates". IEEE/ACM 10th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE): 43–48. doi:10.1109/CHASE.2017.8.
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