Supported Languages
The dataset exposes starter code for many LeetCode languages. The generator should use the starter code as the source of truth for the submission entry point.
Language Characteristics
The algorithm-language rows use LeetCode 1, Two Sum, to show each language's submission entry point. Database and data-analysis rows use the first matching problem in the dataset, LeetCode 175, Combine Two Tables. The Shell row uses LeetCode 192, Word Frequency. Generated output must preserve the starter code entry shape, including the required class, function, module, contract, spec, SQL dialect, DataFrame function, or file-processing comment.
Submission Entry Point Rule
| Language | Language Characteristic | Submission Entry Example |
|---|---|---|
| C | A systems programming language used for operating systems, embedded software, database kernels, and performance-critical libraries. In LeetCode, C solutions expose pointer handling, array length management, returned-buffer allocation, and low-level boundary control. | int* twoSum(int* nums, int numsSize, int target, int* returnSize) |
| C++ | A performance-oriented language used in game engines, trading systems, graphics, infrastructure, and competitive programming. In LeetCode, C++ usually combines class Solution with STL containers, sorting, heaps, hash maps, graph traversal, and advanced data structures. |
class Solution { public: vector<int> twoSum(vector<int>& nums, int target) } |
| Java | A strongly typed object-oriented language used for enterprise backends, server systems, and Android development. In LeetCode, Java has stable class-based entries and mature collections, making it suitable for graph search, priority queues, dynamic programming, and standard engineering-style implementations. | class Solution { public int[] twoSum(int[] nums, int target) } |
| Python | A dynamic language used for scripting, automation, data processing, and fast prototypes. In LeetCode, Python is concise and direct, but older Python entries require attention to iterator behavior, integer division, and performance limits. | class Solution(object): def twoSum(self, nums, target) |
| Python3 | The current mainstream Python version, used for backend scripts, machine learning, data analysis, automation, and algorithm prototypes. In LeetCode, Python3 usually includes type annotations and expresses hash maps, recursion, heaps, two pointers, and dynamic programming clearly. | class Solution: def twoSum(self, nums: List[int], target: int) -> List[int] |
| C# | A .NET language used for enterprise applications, desktop tools, game development, backend services, and cloud systems. In LeetCode, C# uses class-method submissions with strong typing, generics, collections, and a clear .NET implementation style. | public class Solution { public int[] TwoSum(int[] nums, int target) } |
| JavaScript | The core language of web frontends, Node.js backends, automation scripts, and full-stack applications. In LeetCode, JavaScript uses function-based submissions and flexible arrays/objects, but solutions must account for dynamic typing and numeric precision. | var twoSum = function(nums, target) |
| TypeScript | A typed extension of JavaScript used in large frontend projects, Node.js services, and maintainable full-stack systems. In LeetCode, TypeScript keeps the JavaScript-style entry while making array, object, return-value, and helper-structure types explicit. | function twoSum(nums: number[], target: number): number[] |
| PHP | A server-side language common in web backends, CMS platforms, ecommerce systems, and traditional page-serving applications. In LeetCode, PHP uses class-method submissions and flexible arrays that can act as both lists and maps. | class Solution { function twoSum($nums, $target) } |
| Swift | Apple's primary modern language for iOS, macOS, watchOS, and tvOS development. In LeetCode, Swift uses strongly typed arrays and class-method entries, showing safe collection handling and Apple-platform language style. | class Solution { func twoSum(_ nums: [Int], _ target: Int) -> [Int] } |
| Kotlin | A modern strongly typed JVM language used for Android, backend services, and Java-adjacent application code. In LeetCode, Kotlin offers concise entries, null-safety, data classes, and expressive collection APIs. | class Solution { fun twoSum(nums: IntArray, target: Int): IntArray } |
| Dart | The main language for Flutter, commonly used for cross-platform mobile, desktop, and web apps. In LeetCode, Dart uses class-method entries and clear list/map APIs, showing core data-structure handling in the Flutter ecosystem language. | class Solution { List<int> twoSum(List<int> nums, int target) } |
| Go | A language for cloud-native systems, backend services, network programs, command-line tools, and concurrent infrastructure. In LeetCode, Go uses compact function entries with slices, maps, structs, queues, graph traversal, and readable imperative code. | func twoSum(nums []int, target int) []int |
| Ruby | A dynamic language used for scripting, web applications, and fast business iteration, with Rails as its best-known ecosystem. In LeetCode, Ruby methods are concise and expressive for strings, arrays, hashes, enumeration, and simulation problems. | def two_sum(nums, target) |
| Scala | A JVM language combining functional and object-oriented programming, commonly used with Spark, Flink, Akka, and distributed data systems. In LeetCode, Scala can use both functional collection transformations and imperative algorithms. | object Solution { def twoSum(nums: Array[Int], target: Int): Array[Int] } |
| Rust | A modern systems language used for performance-sensitive services, infrastructure, blockchain, compilers, browser components, and safety-critical code. In LeetCode, Rust uses ownership, borrowing, and impl Solution to show memory safety and precise boundary handling. |
impl Solution { pub fn two_sum(nums: Vec<i32>, target: i32) -> Vec<i32> } |
| Racket | A Lisp/Scheme-family language used for functional programming, teaching, language experiments, and DSL construction. In LeetCode, Racket keeps contracts in the entry point and naturally expresses recursion, lists, higher-order functions, and functional reasoning. | (define/contract (two-sum nums target) ...) |
| Erlang | A functional language designed for highly concurrent, fault-tolerant, distributed systems, historically common in telecom and messaging systems. In LeetCode, Erlang entries use specs and functions, emphasizing pattern matching, recursion, immutable data, and list processing. | -spec two_sum(Nums :: [integer()], Target :: integer()) -> [integer()]. |
| Elixir | A modern functional language on the Erlang VM, used for Phoenix web services, realtime systems, messaging, and high-concurrency applications. In LeetCode, Elixir uses module-based entries with pattern matching, recursion, pipes, and immutable collections. | defmodule Solution do ... def two_sum(nums, target) do ... end |
| MySQL | A relational database dialect widely used in web applications and operational systems. In LeetCode database problems, MySQL solutions focus on joins, grouping, filtering, window functions, aggregation, and dialect-specific query syntax. | LeetCode 175: # Write your MySQL query statement below |
| MS SQL Server | Microsoft's T-SQL dialect for SQL Server, common in enterprise reporting, analytics, and backend data systems. In LeetCode database problems, T-SQL solutions preserve the SQL Server starter comment and may use T-SQL-specific functions or syntax. | LeetCode 175: /* Write your T-SQL query statement below */ |
| Oracle SQL | Oracle's SQL and PL/SQL environment, used in enterprise database systems, finance, telecom, and large legacy data platforms. In LeetCode, Oracle SQL solutions must preserve PL/SQL-oriented starter code and dialect details. | LeetCode 175: /* Write your PL/SQL query statement below */ |
| PostgreSQL | A feature-rich open-source relational database used for backend systems, analytics, geospatial workloads, and data platforms. In LeetCode database problems, PostgreSQL solutions use PostgreSQL SQL syntax, window functions, CTEs, date handling, and aggregation patterns. | LeetCode 175: -- Write your PostgreSQL query statement below |
| Pandas | Python's tabular data-analysis library, used for DataFrame cleaning, joins, grouping, filtering, reshaping, and analytics workflows. In LeetCode Pandas problems, the entry point is a typed DataFrame function rather than a class Solution algorithm method. |
LeetCode 175: def combine_two_tables(person: pd.DataFrame, address: pd.DataFrame) -> pd.DataFrame |
| Bash | A shell scripting language used for Unix command-line automation, text processing, pipelines, and operational scripts. In LeetCode shell problems, the solution reads files or stdin and composes tools such as cat, awk, sort, uniq, and sed. |
LeetCode 192: # Read from the file words.txt and output the word frequency list to stdout. |
These entry points must appear in the final code so the generated solution can be pasted directly into LeetCode.