Regular expressions are patterns of text that can be used by a regular expression parser to search a string for text that matches the pattern, and if required, replace the matched items with other text.
Using regular expressions
by Marius Bancila, Richard Grimes
Modern C++: Efficient and Scalable Application Development
- Title Page
- Copyright
- About Packt
- Contributors
- Preface
- Understanding Language Features
- Working with Memory, Arrays, and Pointers
- Using Functions
- Classes
- Using the Standard Library Containers
- Using Strings
- Diagnostics and Debugging
- Learning Modern Core Language Features
- Using auto whenever possible
- Creating type aliases and alias templates
- Understanding uniform initialization
- Understanding the various forms of non-static member initialization
- Controlling and querying object alignment
- Using scoped enumerations
- Using override and final for virtual methods
- Using range-based for loops to iterate on a range
- Enabling range-based for loops for custom types
- Using explicit constructors and conversion operators to avoid implicit conversion
- Using unnamed namespaces instead of static globals
- Using inline namespaces for symbol versioning
- Using structured bindings to handle multi-return values
- Working with Numbers and Strings
- Converting between numeric and string types
- Limits and other properties of numeric types
- Generating pseudo-random numbers
- Initializing all bits of internal state of a pseudo-random number generator
- Creating cooked user-defined literals
- Creating raw user-defined literals
- Using raw string literals to avoid escaping characters
- Creating a library of string helpers
- Verifying the format of a string using regular expressions
- Parsing the content of a string using regular expressions
- Replacing the content of a string using regular expressions
- Using string_view instead of constant string references
- Exploring Functions
- Defaulted and deleted functions
- Using lambdas with standard algorithms
- Using generic lambdas
- Writing a recursive lambda
- Writing a function template with a variable number of arguments
- Using fold expressions to simplify variadic function templates
- Implementing higher-order functions map and fold
- Composing functions into a higher-order function
- Uniformly invoking anything callable
- Standard Library Containers, Algorithms, and Iterators
- Using vector as a default container
- Using bitset for fixed-size sequences of bits
- Using vector<bool> for variable-size sequences of bits
- Finding elements in a range
- Sorting a range
- Initializing a range
- Using set operations on a range
- Using iterators to insert new elements in a container
- Writing your own random access iterator
- Container access with non-member functions
- Math Problems
- Problems
- 1. Sum of naturals divisible by 3 and 5
- 2. Greatest common divisor
- 3. Least common multiple
- 4. Largest prime smaller than given number
- 5. Sexy prime pairs
- 6. Abundant numbers
- 7. Amicable numbers
- 8. Armstrong numbers
- 9. Prime factors of a number
- 10. Gray code
- 11. Converting numerical values to Roman
- 12. Largest Collatz sequence
- 13. Computing the value of Pi
- 14. Validating ISBNs
- Solutions
- 1. Sum of naturals divisible by 3 and 5
- 2. Greatest common divisor
- 3. Least common multiple
- 4. Largest prime smaller than given number
- 5. Sexy prime pairs
- 6. Abundant numbers
- 7. Amicable numbers
- 8. Armstrong numbers
- 9. Prime factors of a number
- 10. Gray code
- 11. Converting numerical values to Roman
- 12. Largest Collatz sequence
- 13. Computing the value of Pi
- 14. Validating ISBNs
- Problems
- Language Features
- Strings and Regular Expressions
- Problems
- 23. Binary to string conversion
- 24. String to binary conversion
- 25. Capitalizing an article title
- 26. Joining strings together separated by a delimiter
- 27. Splitting a string into tokens with a list of possible delimiters
- 28. Longest palindromic substring
- 29. License plate validation
- 30. Extracting URL parts
- 31. Transforming dates in strings
- Solutions
- 23. Binary to string conversion
- 24. String to binary conversion
- 25. Capitalizing an article title
- 26. Joining strings together separated by a delimiter
- 27. Splitting a string into tokens with a list of possible delimiters
- 28. Longest palindromic substring
- 29. License plate validation
- 30. Extracting URL parts
- 31. Transforming dates in strings
- Problems
- Streams and Filesystems
- Date and Time
- Algorithms and Data Structures
- Problems
- 45. Priority queue
- 46. Circular buffer
- 47. Double buffer
- 48. The most frequent element in a range
- 49. Text histogram
- 50. Filtering a list of phone numbers
- 51. Transforming a list of phone numbers
- 52. Generating all the permutations of a string
- 53. Average rating of movies
- 54. Pairwise algorithm
- 55. Zip algorithm
- 56. Select algorithm
- 57. Sort algorithm
- 58. The shortest path between nodes
- 59. The Weasel program
- 60. The Game of Life
- Solutions
- 45. Priority queue
- 46. Circular buffer
- 47. Double buffer
- 48. The most frequent element in a range
- 49. Text histogram
- 50. Filtering a list of phone numbers
- 51. Transforming a list of phone numbers
- 52. Generating all the permutations of a string
- 53. Average rating of movies
- 54. Pairwise algorithm
- 55. Zip algorithm
- 56. Select algorithm
- 57. Sort algorithm
- 58. The shortest path between nodes
- 59. The Weasel program
- 60. The Game of Life
- Problems
- Other Books You May Enjoy
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