CPP STL Utility Components: Tools like pair, tuple, and optional for combining and managing related data.
CPP STL Utility Components: Tools like pair, tuple, and optional for combining and managing related data. Give equivalents: Compare and contrast for Python, PowerShell, Bash, Rust, Golang, JavaScript, TypeScript, Java, Kotlin, Scala, Clojure, Haskell, F Sharp, Erlang, Elixir, Swift, C Sharp, CPP, C Language, Zig, PHP, Ruby, Dart, Microsoft T-SQL, Oracle PL/SQL, PL/pgSQL, Julia, R Language, Perl, COBOL, Fortran, Ada, VBScript, Basic, Pascal.
CPP STL Utility Components like `std::pair`, `std::tuple`, and `std::optional` enable combining and managing related data types efficiently while ensuring type safety. Below is a detailed comparison of their equivalents across 35 programming languages.
Language | Equivalents | Strengths | Weaknesses |
——————– | ——————————————- | ————————————- | ————————————- |
CPP | `std::pair`, `std::tuple`, `std::optional` | Type-safe, efficient, and flexible | Verbose syntax for nested structures |
Python | `tuple`, `namedtuple`, `dataclass`, `Optional` | Highly expressive and dynamic | No compile-time type checking |
PowerShell | PSCustomObject, arrays | Easy for scripting automation | Lacks type safety for structured data |
Bash | Arrays, associative arrays | Lightweight for simple tasks | No support for type-safe abstractions |
Rust | `Tuple`, `Option`, `Result`, structs | Strong type safety, zero-cost abstractions | Verbose for deeply nested combinations |
Golang | Custom structs, multiple return values | Simplifies grouped data handling | Lacks native tuples or optional types |
JavaScript | Arrays, objects, `undefined`/`null` | Flexible and dynamic | No type safety for optional values |
TypeScript | Tuples, `Optional` from libraries, `undefined` | Adds type safety to JavaScript | Requires libraries for optional-like behavior |
Java | `Pair`, `Optional`, custom classes | Strongly typed and enterprise-grade | Verbose for simple use cases |
Kotlin | `Pair`, `Triple`, `Nullable` types | Concise syntax, JVM integration | Limited use outside JVM ecosystem |
Scala | `Tuple`, `Option`, case classes | Seamless functional and object-oriented integration | Verbose for simple scenarios |
Clojure | Lists, vectors, `nil` | Lightweight and flexible for functional programming | No strict type safety |
Haskell | `(,)` tuples, `Maybe`, custom types | Strong type safety, composability | Complex for beginners |
F Sharp | Tuples, `Option`, discriminated unions | Combines functional and object-oriented paradigms | Limited adoption outside .NET |
Erlang | Tuples, tagged tuples, `nil` | Efficient for distributed systems | No strong type safety |
Elixir | Tuples, structs, `nil` | Simplicity and immutability | Limited to BEAM ecosystem |
Swift | Tuples, `Optional`, `Result` | Combines safety and simplicity | Verbose for nested or complex data |
C Sharp | `Tuple`, `ValueTuple`, `Nullable<T>` | Strong typing, advanced features | Verbose for basic operations |
C Language | Structs, `NULL` for optional values | High performance and low-level control | No native tuples or optional abstractions |
Zig | Tuples, tagged unions, nullable types | Simple and efficient for systems programming | Small ecosystem |
PHP | Arrays, objects, `null` | Easy to use for web-based workflows | Lacks type safety for structured data |
Ruby | Arrays, hashes, `nil` | Intuitive syntax for dynamic programming | No type safety or tuple abstractions |
Dart | Tuples via libraries, `null` safety | Simplified for UI-based applications | Requires external libraries for full tuple support |
Microsoft T-SQL | Table-valued variables | Excellent for database-specific tasks | Limited for general-purpose data handling |
Oracle PL/SQL | Records, `NULL` values | Tailored for structured database logic | Limited outside database environments |
PL/pgSQL | Composite types, `NULL` values | Optimized for PostgreSQL workflows | No general-purpose tuple handling |
Julia | Tuples, named tuples, `Nothing` | Simplifies numerical and scientific tasks | No advanced abstractions for optional types |
R Language | Lists, data frames, `NA` | Flexible for statistical workflows | Lacks type safety or native tuples |
Perl | Arrays, `undef` | Compact syntax for lightweight scripting | Limited modern abstractions |
COBOL | Group fields, `NULL` | Reliable for batch and structured processing | No native optional or tuple support |
Fortran | Derived types, arrays | High performance for numerical tasks | No built-in tuple or optional abstractions |
Ada | Records, variant records, access types | Strongly typed, safety-critical applications | Verbose syntax |
VBScript | Arrays, variants | Simplifies small-scale scripting | No native support for tuples or options |
Basic | Arrays, user-defined types | Beginner-friendly for structured data | Outdated for modern applications |
Pascal | Records, variant records | Reliable and strongly typed | No native tuple or optional abstractions |
This table provides a detailed comparison of how 35 programming languages implement equivalents to CPP STL Utility Components, showcasing their respective strengths and weaknesses.