@@ -593,14 +593,35 @@ We encourage contributions that enhance the repository's value. To contribute:
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## References
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### Books
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- - L. V. Narashima Prasad, E. Kishna Rao Patro, * Lecture Notes on Data Structures using C*
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- - Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein, * Introduction to Algorithms, 3rd Edition (The MIT Press)*
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- - Steven Halim, * Competitive Programming 3*
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- - Narasimha Karumanchi, * Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles*
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- - Brian Kernighan, Dennis Ritchie, * The C Programming Language*
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- - Steven Skiena, Miguel Revilla, * Programming Challenges: The Programming Contest Training Manual*
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- - Antti Laaksonen, * Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)*
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- - Nite Nimajneb, * The Hitchhiker’s Guide to the Programming Contests*
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+ - ** Cormen, Thomas H.; Leiserson, Charles E.; Rivest, Ronald L.; Stein, Clifford**
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+ * Introduction to Algorithms, 3rd Edition (The MIT Press)*
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+ [ Amazon Link] ( https://amzn.to/4liRr12 )
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+
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+ - ** Halim, Steven**
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+ * Competitive Programming 3*
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+ [ Amazon Link] ( https://amzn.to/43H2KtM )
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+
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+ - ** Karumanchi, Narasimha**
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+ * Data Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles*
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+ [ Amazon Link] ( https://amzn.to/4jbJZCY )
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+
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+ - ** Kernighan, Brian; Ritchie, Dennis**
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+ * The C Programming Language*
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+ [ Amazon Link] ( https://amzn.to/3FWJxKM )
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+
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+ - ** Skiena, Steven; Revilla, Miguel**
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+ * Programming Challenges: The Programming Contest Training Manual*
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+ [ Amazon Link] ( https://amzn.to/44aL75A )
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+
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+ - ** Laaksonen, Antti**
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+ * Guide to Competitive Programming: Learning and Improving Algorithms Through Contests (Undergraduate Topics in Computer Science)*
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+ [ Amazon Link] ( https://amzn.to/4cDo3Pr )
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+
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+ - ** Nimajneb, Nite**
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+ * The Hitchhiker’s Guide to the Programming Contests*
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+
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+ - ** Prasad, L. V. Narashima; Patro, E. Kishna Rao**
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+ * Lecture Notes on Data Structures using C*
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### Online Courses and Resources
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- [ Stanford CS Library] ( http://cslibrary.stanford.edu/ )
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