Sure! Here's a comprehensive list of 100 chapters on String Parsing and Tokenization, organized from beginner to advanced levels, with a focus on competitive programming:
Introduction to String Parsing and Tokenization
Fundamentals of Strings
5. Introduction to Strings in Programming
6. String Representations and Encodings
7. Basic String Operations
8. Common String Functions and Methods
String Parsing Basics
9. Understanding String Parsing
10. Common Parsing Techniques
11. Regular Expressions for Parsing
12. Parsing Simple Patterns
13. Handling Whitespace and Delimiters
Tokenization Basics
14. What is Tokenization?
15. Tokenization Techniques
16. Splitting Strings into Tokens
17. Handling Special Characters
18. Tokenizing with Delimiters
Advanced String Parsing Techniques
19. Context-Free Grammars
20. Parsing Nested Structures
21. Handling Escape Sequences
22. Advanced Regular Expressions
23. Finite Automata for Parsing
Advanced Tokenization Techniques
24. Tokenizing Complex Patterns
25. Lexical Analysis
26. Tokenization with Context
27. Handling Multi-Character Delimiters
28. Efficient Tokenization Algorithms
String Parsing in Competitive Programming
29. Common Parsing Problems
30. Techniques for Efficient Parsing
31. Debugging Parsing Errors
32. Parsing Large Inputs
33. Handling Edge Cases
Tokenization in Competitive Programming
34. Common Tokenization Problems
35. Efficient Tokenization Strategies
36. Debugging Tokenization Errors
37. Tokenizing Large Inputs
38. Handling Edge Cases in Tokenization
Regular Expressions in Depth
39. Regular Expression Basics
40. Special Characters and Metacharacters
41. Grouping and Capturing
42. Lookahead and Lookbehind
43. Greedy vs. Non-Greedy Matching
44. Advanced Patterns and Techniques
Finite Automata and Parsing
45. Introduction to Finite Automata
46. Deterministic Finite Automata (DFA)
47. Non-Deterministic Finite Automata (NFA)
48. Converting NFA to DFA
49. Applications in String Parsing
Context-Free Grammars and Parsing
50. Introduction to Context-Free Grammars (CFG)
51. Parse Trees and Derivations
52. Top-Down Parsing
53. Bottom-Up Parsing
54. LL and LR Parsers
Lexical Analysis
55. Introduction to Lexical Analysis
56. Lexical Tokens and Patterns
57. Lexical Analyzers and Scanners
58. Building a Lexer from Scratch
59. Error Handling in Lexical Analysis
Parsing Algorithms
60. Recursive Descent Parsing
61. Predictive Parsing
62. Shift-Reduce Parsing
63. CYK Parsing Algorithm
64. Earley Parsing Algorithm
Advanced Topics in Parsing
65. Parsing Ambiguous Grammars
66. Handling Syntax Errors
67. Incremental Parsing
68. Parsing with Lookahead
69. Parser Generators
Advanced Topics in Tokenization
70. Tokenizing Natural Language
71. Handling Unicode and Multilingual Text
72. Tokenization in Machine Learning
73. Tokenization for Natural Language Processing
74. Tokenizing Structured Data Formats
String Matching and Search Algorithms
75. Naive String Matching
76. Knuth-Morris-Pratt (KMP) Algorithm
77. Boyer-Moore Algorithm
78. Rabin-Karp Algorithm
79. Z Algorithm
80. Aho-Corasick Algorithm
String Manipulation Techniques
81. String Concatenation
82. Substring Extraction
83. String Reversal
84. String Rotation
85. String Compression and Decompression
Applications of String Parsing and Tokenization
86. Compilers and Interpreters
87. Data Serialization Formats (JSON, XML, etc.)
88. Natural Language Processing (NLP)
89. Text Mining and Analysis
90. Web Scraping and Data Extraction
Case Studies and Real-World Examples
91. Case Study: Parsing Configuration Files
92. Case Study: Tokenizing Code for Syntax Highlighting
93. Case Study: Parsing HTML and XML
94. Case Study: Tokenizing Social Media Posts
Competitive Programming Challenges
95. Typical Parsing Challenges in Contests
96. Typical Tokenization Challenges in Contests
97. Practice Problems and Solutions
98. Efficiency Considerations in Parsing and Tokenization
Debugging and Testing
99. Debugging Techniques for Parsing
100. Testing and Verifying Tokenization Algorithms
I hope these chapter titles help you create a comprehensive guide on String Parsing and Tokenization for competitive programming! If you need further details or explanations for any chapters, let me know. Happy writing!